# # Result of GermanUpperLowercaseWords and AutomaticConfusionRuleEvaluator. # Words that exist in uppercase and lowercase. Note that the validation # set is often quite small or 0, e.g. "0+121". # aalen; Aalen; 10 # p=1.000, r=0.636, 0+121, 3grams, 2016-08-23 abfahrt; Abfahrt; 100 # p=1.000, r=0.562, 0+210, 3grams, 2016-08-23 abfrage; Abfrage; 100 # p=1.000, r=0.526, 0+57, 3grams, 2016-08-23 abfragen; Abfragen; 1 # p=1.000, r=0.156, 10+125, 3grams, 2016-08-23 abfuhr; Abfuhr; 100 # p=1.000, r=0.400, 5+25, 3grams, 2016-08-23 abrieb; Abrieb; 10 # p=1.000, r=0.471, 0+34, 3grams, 2016-08-23 abriss; Abriss; 10 # p=1.000, r=0.803, 10+304, 3grams, 2016-08-23 absage; Absage; 100 # p=1.000, r=0.837, 0+80, 3grams, 2016-08-23 absagen; Absagen; 1 # p=1.000, r=0.581, 31+12, 3grams, 2016-08-23 abschnitte; Abschnitte; 100 # p=1.000, r=0.705, 2+449, 3grams, 2016-08-23 abschnitten; Abschnitten; 10 # p=1.000, r=0.800, 5+205, 3grams, 2016-08-23 absprachen; Absprachen; 1 # p=1.000, r=0.789, 2+36, 3grams, 2016-08-23 abstand; Abstand; 1 # p=1.000, r=0.936, 2+1000, 3grams, 2016-08-23 abstiege; Abstiege; 10 # p=1.000, r=0.375, 0+8, 3grams, 2016-08-23 abstürze; Abstürze; 10 # p=1.000, r=0.222, 0+18, 3grams, 2016-08-23 abteile; Abteile; 10 # p=1.000, r=0.282, 0+39, 3grams, 2016-08-23 abtritt; Abtritt; 1 # p=1.000, r=0.556, 3+6, 3grams, 2016-08-23 alleinreisende; Alleinreisende; 1 # p=1.000, r=0.500, 2+0, 3grams, 2016-08-23 allergen; Allergen; 1 # p=1.000, r=0.250, 6+22, 3grams, 2016-08-23 allergene; Allergene; 1 # p=1.000, r=0.389, 3+33, 3grams, 2016-08-23 allergenen; Allergenen; 1 # p=1.000, r=0.714, 0+7, 3grams, 2016-08-23 alltags; Alltags; 10 # p=1.000, r=0.794, 2+95, 3grams, 2016-08-23 andachten; Andachten; 10 # p=1.000, r=0.500, 1+27, 3grams, 2016-08-23 android; Android; 1 # p=1.000, r=0.155, 0+71, 3grams, 2016-08-23 androide; Androide; 1 # p=1.000, r=0.250, 0+4, 3grams, 2016-08-23 androiden; Androiden; 10 # p=1.000, r=0.306, 0+49, 3grams, 2016-08-23 anfahrt; Anfahrt; 1 # p=1.000, r=0.733, 0+15, 3grams, 2016-08-23 anfragen; Anfragen; 100 # p=1.000, r=0.619, 3+136, 3grams, 2016-08-23 angestellter; Angestellter; 1000 # p=1.000, r=0.716, 13+82, 3grams, 2016-08-23 angriff; Angriff; 10 # p=1.000, r=0.847, 43+1000, 3grams, 2016-08-23 angriffen; Angriffen; 1 # p=1.000, r=0.889, 42+273, 3grams, 2016-08-23 ängste; Ängste; 1 # p=1.000, r=0.849, 0+73, 3grams, 2016-08-23 anhänge; Anhänge; 1000 # p=1.000, r=0.359, 2+37, 3grams, 2016-08-23 anliegen; Anliegen; 1 # p=1.000, r=0.920, 17+232, 3grams, 2016-08-23 annahmen; Annahmen; 1000 # p=1.000, r=0.638, 34+190, 3grams, 2016-08-23 anreden; Anreden; 1 # p=1.000, r=0.462, 7+6, 3grams, 2016-08-23 anreise; Anreise; 100 # p=1.000, r=0.610, 0+41, 3grams, 2016-08-23 anreisen; Anreisen; 1 # p=1.000, r=0.824, 16+1, 3grams, 2016-08-23 anreize; Anreize; 100 # p=1.000, r=0.761, 0+46, 3grams, 2016-08-23 anrichte; Anrichte; 1 # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23 anrichten; Anrichten; 1 # p=1.000, r=1.000, 41+1, 3grams, 2016-08-23 anrufe; Anrufe; 10 # p=1.000, r=0.394, 7+26, 3grams, 2016-08-23 ansage; Ansage; 1 # p=1.000, r=0.947, 1+18, 3grams, 2016-08-23 ansagen; Ansagen; 1 # p=1.000, r=0.409, 4+18, 3grams, 2016-08-23 anschreiben; Anschreiben; 1 # p=1.000, r=1.000, 4+1, 3grams, 2016-08-23 ansinnen; Ansinnen; 1 # p=1.000, r=0.974, 0+38, 3grams, 2016-08-23 ansprachen; Ansprachen; 1 # p=1.000, r=0.761, 6+40, 3grams, 2016-08-23 anstand; Anstand; 10 # p=1.000, r=0.825, 5+35, 3grams, 2016-08-23 anstrich; Anstrich; 10 # p=1.000, r=0.508, 2+57, 3grams, 2016-08-23 antonym; Antonym; 1 # p=1.000, r=0.875, 0+16, 3grams, 2016-08-23 antonyme; Antonyme; 1 # p=1.000, r=0.500, 0+8, 3grams, 2016-08-23 antrieb; Antrieb; 10 # p=1.000, r=0.749, 17+500, 3grams, 2016-08-23 antriebe; Antriebe; 100 # p=1.000, r=0.542, 0+83, 3grams, 2016-08-23 antrieben; Antrieben; 10 # p=1.000, r=0.296, 2+25, 3grams, 2016-08-23 anzahlen; Anzahlen; 10 # p=1.000, r=0.889, 0+18, 3grams, 2016-08-23 arabeske; Arabeske; 10 # p=1.000, r=0.700, 0+10, 3grams, 2016-08-23 arabesken; Arabesken; 100 # p=1.000, r=0.500, 1+7, 3grams, 2016-08-23 ärger; Ärger; 10 # p=1.000, r=0.798, 3+165, 3grams, 2016-08-23 äste; Äste; 10 # p=1.000, r=0.711, 0+114, 3grams, 2016-08-23 ästen; Ästen; 10 # p=1.000, r=0.671, 1+75, 3grams, 2016-08-23 aufbauten; Aufbauten; 10 # p=1.000, r=0.507, 16+53, 3grams, 2016-08-23 auffahrt; Auffahrt; 10 # p=1.000, r=0.548, 0+42, 3grams, 2016-08-23 aufgeboten; Aufgeboten; 1 # p=1.000, r=1.000, 13+4, 3grams, 2016-08-23 aufrufe; Aufrufe; 10 # p=1.000, r=0.574, 1+46, 3grams, 2016-08-23 aufstiege; Aufstiege; 1 # p=1.000, r=0.533, 0+15, 3grams, 2016-08-23 aufstiegen; Aufstiegen; 1 # p=1.000, r=0.381, 15+6, 3grams, 2016-08-23 ausbeute; Ausbeute; 1 # p=1.000, r=0.907, 0+54, 3grams, 2016-08-23 ausdrücke; Ausdrücke; 1 # p=1.000, r=0.865, 2+331, 3grams, 2016-08-23 ausdrucke; Ausdrucke; 1 # p=1.000, r=1.000, 0+3, 3grams, 2016-08-23 ausfuhr; Ausfuhr; 1 # p=1.000, r=0.955, 1+43, 3grams, 2016-08-23 ausfuhren; Ausfuhren; 1 # p=1.000, r=0.737, 2+17, 3grams, 2016-08-23 aushänge; Aushänge; 1 # p=1.000, r=0.667, 0+3, 3grams, 2016-08-23 auslagen; Auslagen; 1 # p=1.000, r=0.933, 0+15, 3grams, 2016-08-23 ausleihe; Ausleihe; 1 # p=1.000, r=1.000, 0+13, 3grams, 2016-08-23 ausleihen; Ausleihen; 100 # p=1.000, r=0.582, 65+14, 3grams, 2016-08-23 auslese; Auslese; 1 # p=1.000, r=0.891, 0+55, 3grams, 2016-08-23 ausrede; Ausrede; 1 # p=1.000, r=0.900, 1+39, 3grams, 2016-08-23 ausreden; Ausreden; 1 # p=1.000, r=0.815, 14+13, 3grams, 2016-08-23 ausreise; Ausreise; 100 # p=1.000, r=0.829, 0+76, 3grams, 2016-08-23 ausreisen; Ausreisen; 1 # p=1.000, r=0.778, 24+3, 3grams, 2016-08-23 ausrufe; Ausrufe; 10 # p=1.000, r=0.111, 0+9, 3grams, 2016-08-23 ausschnitt; Ausschnitt; 10 # p=1.000, r=0.780, 0+91, 3grams, 2016-08-23 ausschnitte; Ausschnitte; 1 # p=1.000, r=0.684, 0+76, 3grams, 2016-08-23 ausschnitten; Ausschnitten; 1 # p=1.000, r=0.885, 0+26, 3grams, 2016-08-23 aussprachen; Aussprachen; 1 # p=1.000, r=0.923, 11+15, 3grams, 2016-08-23 austritt; Austritt; 1 # p=1.000, r=0.938, 28+215, 3grams, 2016-08-23 ausweise; Ausweise; 1 # p=1.000, r=0.688, 0+16, 3grams, 2016-08-23 automobilen; Automobilen; 1 # p=1.000, r=0.945, 2+53, 3grams, 2016-08-23 backbord; Backbord; 1 # p=1.000, r=0.440, 2+23, 3grams, 2016-08-23 banden; Banden; 10000 # p=1.000, r=0.250, 20+76, 3grams, 2016-08-23 bänden; Bänden; 10000 # p=1.000, r=0.725, 0+498, 3grams, 2016-08-23 banden; Banden; 1000 # p=1.000, r=0.323, 20+76, 3grams, 2016-08-23 bänden; Bänden; 1000 # p=1.000, r=0.799, 0+498, 3grams, 2016-08-23 banden; Banden; 100 # p=1.000, r=0.438, 20+76, 3grams, 2016-08-23 bänden; Bänden; 100 # p=1.000, r=0.845, 0+498, 3grams, 2016-08-23 banden; Banden; 10 # p=1.000, r=0.531, 20+76, 3grams, 2016-08-23 bäumen; Bäumen; 10 # p=1.000, r=0.900, 1+441, 3grams, 2016-08-23 bedenken; Bedenken; 1 # p=1.000, r=0.907, 72+176, 3grams, 2016-08-23 befehle; Befehle; 10 # p=1.000, r=0.676, 7+333, 3grams, 2016-08-23 befehlen; Befehlen; 10 # p=1.000, r=0.545, 25+87, 3grams, 2016-08-23 beichte; Beichte; 10 # p=1.000, r=0.758, 2+126, 3grams, 2016-08-23 beichten; Beichten; 1 # p=1.000, r=0.636, 9+2, 3grams, 2016-08-23 beigaben; Beigaben; 10 # p=1.000, r=0.629, 0+35, 3grams, 2016-08-23 beigesellen; Beigesellen; 1 # p=1.000, r=1.000, 1+0, 3grams, 2016-08-23 beilagen; Beilagen; 10 # p=1.000, r=0.524, 1+20, 3grams, 2016-08-23 beistand; Beistand; 10 # p=1.000, r=0.812, 3+66, 3grams, 2016-08-23 beitritt; Beitritt; 1 # p=1.000, r=0.821, 2+384, 3grams, 2016-08-23 belange; Belange; 10 # p=1.000, r=0.845, 0+161, 3grams, 2016-08-23 belangen; Belangen; 10 # p=1.000, r=0.759, 5+53, 3grams, 2016-08-23 berufe; Berufe; 1 # p=1.000, r=0.877, 3+208, 3grams, 2016-08-23 bescheide; Bescheide; 10 # p=1.000, r=0.333, 0+6, 3grams, 2016-08-23 bestände; Bestände; 1 # p=1.000, r=0.853, 0+312, 3grams, 2016-08-23 betriebe; Betriebe; 1 # p=1.000, r=0.898, 1+746, 3grams, 2016-08-23 beule; Beule; 10 # p=1.000, r=0.455, 0+11, 3grams, 2016-08-23 beulen; Beulen; 1 # p=1.000, r=0.667, 0+3, 3grams, 2016-08-23 beute; Beute; 10 # p=1.000, r=0.803, 0+432, 3grams, 2016-08-23 binde; Binde; 10 # p=1.000, r=0.235, 6+45, 3grams, 2016-08-23 binokular; Binokular; 1 # p=1.000, r=1.000, 2+0, 3grams, 2016-08-23 binokulare; Binokulare; 1 # p=1.000, r=0.250, 2+2, 3grams, 2016-08-23 binokularen; Binokularen; 100 # p=1.000, r=0.250, 8+0, 3grams, 2016-08-23 blase; Blase; 10 # p=1.000, r=0.656, 2+88, 3grams, 2016-08-23 blättern; Blättern; 10 # p=1.000, r=0.751, 2+332, 3grams, 2016-08-23 blende; Blende; 10 # p=1.000, r=0.667, 0+105, 3grams, 2016-08-23 blicke; Blicke; 1 # p=1.000, r=0.846, 2+50, 3grams, 2016-08-23 bohr; Bohr; 1 # p=1.000, r=0.687, 2+97, 3grams, 2016-08-23 braten; Braten; 1 # p=1.000, r=0.760, 17+58, 3grams, 2016-08-23 brauch; Brauch; 1 # p=1.000, r=0.887, 19+281, 3grams, 2016-08-23 bremse; Bremse; 10 # p=1.000, r=0.570, 1+113, 3grams, 2016-08-23 brettern; Brettern; 10 # p=1.000, r=0.500, 0+26, 3grams, 2016-08-23 brocken; Brocken; 10 # p=1.000, r=0.767, 0+86, 3grams, 2016-08-23 brüste; Brüste; 10 # p=1.000, r=0.824, 0+51, 3grams, 2016-08-23 brüsten; Brüsten; 1 # p=1.000, r=0.941, 0+17, 3grams, 2016-08-23 buche; Buche; 100 # p=1.000, r=0.550, 0+140, 3grams, 2016-08-23 buchen; Buchen; 100 # p=1.000, r=0.360, 19+153, 3grams, 2016-08-23 bürde; Bürde; 1 # p=1.000, r=0.853, 0+34, 3grams, 2016-08-23 bürden; Bürden; 1 # p=1.000, r=0.400, 1+4, 3grams, 2016-08-23 bürgern; Bürgern; 100 # p=1.000, r=0.777, 1+479, 3grams, 2016-08-23 burleske; Burleske; 1 # p=1.000, r=0.545, 4+7, 3grams, 2016-08-23 burlesken; Burlesken; 1 # p=1.000, r=0.667, 1+2, 3grams, 2016-08-23 bürste; Bürste; 10 # p=1.000, r=0.842, 1+18, 3grams, 2016-08-23 bürsten; Bürsten; 1 # p=1.000, r=0.667, 5+16, 3grams, 2016-08-23 dämpfe; Dämpfe; 1 # p=1.000, r=0.765, 0+51, 3grams, 2016-08-23 deichseln; Deichseln; 1 # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23 delinquenten; Delinquenten; 1 # p=1.000, r=0.900, 0+10, 3grams, 2016-08-23 dichten; Dichten; 100 # p=1.000, r=0.633, 268+51, 3grams, 2016-08-23 differential; Differential; 1 # p=1.000, r=0.392, 5+74, 3grams, 2016-08-23 direktive; Direktive; 10 # p=1.000, r=0.640, 7+18, 3grams, 2016-08-23 direktiven; Direktiven; 1 # p=1.000, r=0.714, 3+11, 3grams, 2016-08-23 drucke; Drucke; 10 # p=1.000, r=0.598, 2+100, 3grams, 2016-08-23 duftes; Duftes; 10 # p=1.000, r=0.286, 0+7, 3grams, 2016-08-23 durchfahrt; Durchfahrt; 100 # p=1.000, r=0.772, 0+79, 3grams, 2016-08-23 durchreise; Durchreise; 100 # p=1.000, r=0.875, 0+24, 3grams, 2016-08-23 durchsage; Durchsage; 10 # p=1.000, r=0.250, 0+8, 3grams, 2016-08-23 durchsagen; Durchsagen; 1 # p=1.000, r=0.333, 0+6, 3grams, 2016-08-23 durchschnitte; Durchschnitte; 1 # p=1.000, r=0.909, 0+11, 3grams, 2016-08-23 dusche; Dusche; 100 # p=1.000, r=0.840, 15+60, 3grams, 2016-08-23 duschen; Duschen; 1 # p=1.000, r=0.684, 20+18, 3grams, 2016-08-23 düsen; Düsen; 1 # p=1.000, r=0.633, 0+30, 3grams, 2016-08-23 ebbe; Ebbe; 1 # p=1.000, r=0.870, 1+68, 3grams, 2016-08-23 egomanen; Egomanen; 1 # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23 eiche; Eiche; 10 # p=1.000, r=0.557, 0+237, 3grams, 2016-08-23 eiern; Eiern; 10 # p=1.000, r=0.786, 1+167, 3grams, 2016-08-23 eile; Eile; 1 # p=1.000, r=0.896, 2+113, 3grams, 2016-08-23 einband; Einband; 10 # p=1.000, r=0.700, 4+46, 3grams, 2016-08-23 einfahrt; Einfahrt; 100 # p=1.000, r=0.872, 0+86, 3grams, 2016-08-23 eingaben; Eingaben; 10 # p=1.000, r=0.706, 0+51, 3grams, 2016-08-23 eingriffen; Eingriffen; 1 # p=1.000, r=0.846, 11+67, 3grams, 2016-08-23 einreise; Einreise; 1 # p=1.000, r=0.908, 0+87, 3grams, 2016-08-23 einreisen; Einreisen; 1 # p=1.000, r=0.970, 27+6, 3grams, 2016-08-23 einritt; Einritt; 1 # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23 einschnitte; Einschnitte; 100 # p=1.000, r=0.659, 0+44, 3grams, 2016-08-23 einschnitt; Einschnitt; 1 # p=1.000, r=0.889, 2+97, 3grams, 2016-08-23 einschnitten; Einschnitten; 10 # p=1.000, r=0.600, 0+10, 3grams, 2016-08-23 einschreiben; Einschreiben; 100 # p=1.000, r=0.738, 7+54, 3grams, 2016-08-23 einstiege; Einstiege; 1 # p=1.000, r=0.750, 0+8, 3grams, 2016-08-23 elend; Elend; 10 # p=1.000, r=0.863, 17+143, 3grams, 2016-08-23 ellipsoide; Ellipsoide; 1 # p=1.000, r=0.300, 2+8, 3grams, 2016-08-23 ellipsoid; Ellipsoid; 1 # p=1.000, r=0.400, 4+41, 3grams, 2016-08-23 endlagern; Endlagern; 1 # p=1.000, r=0.333, 0+3, 3grams, 2016-08-23 erbrecht; Erbrecht; 100 # p=1.000, r=0.726, 0+84, 3grams, 2016-08-23 erlöse; Erlöse; 10 # p=1.000, r=0.860, 4+39, 3grams, 2016-08-23 erlösen; Erlösen; 10 # p=1.000, r=0.778, 14+13, 3grams, 2016-08-23 ernstes; Ernstes; 1 # p=1.000, r=0.939, 23+10, 3grams, 2016-08-23 fabeln; Fabeln; 10 # p=1.000, r=0.746, 0+59, 3grams, 2016-08-23 fächern; Fächern; 10 # p=1.000, r=0.827, 3+136, 3grams, 2016-08-23 faden; Faden; 10 # p=1.000, r=0.767, 3+186, 3grams, 2016-08-23 fallen; Fallen; 1000 # p=1.000, r=0.545, 997+107, 3grams, 2016-08-23 falte; Falte; 10 # p=1.000, r=0.385, 0+13, 3grams, 2016-08-23 falten; Falten; 10000 # p=1.000, r=0.225, 17+63, 3grams, 2016-08-23 fang; Fang; 1 # p=1.000, r=0.582, 11+135, 3grams, 2016-08-23 feile; Feile; 1 # p=1.000, r=0.600, 1+9, 3grams, 2016-08-23 feilen; Feilen; 1 # p=1.000, r=0.615, 6+7, 3grams, 2016-08-23 festnahmen; Festnahmen; 10 # p=1.000, r=0.516, 1+30, 3grams, 2016-08-23 fetten; Fetten; 10 # p=1.000, r=0.605, 30+51, 3grams, 2016-08-23 fiedeln; Fiedeln; 1 # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23 fingern; Fingern; 1 # p=1.000, r=0.985, 0+131, 3grams, 2016-08-23 fischen; Fischen; 100 # p=1.000, r=0.663, 37+254, 3grams, 2016-08-23 flamme; Flamme; 10 # p=1.000, r=0.839, 5+188, 3grams, 2016-08-23 flaute; Flaute; 1000 # p=1.000, r=0.278, 4+14, 3grams, 2016-08-23 fliege; Fliege; 1 # p=1.000, r=0.829, 21+90, 3grams, 2016-08-23 fliese; Fliese; 1 # p=1.000, r=1.000, 0+3, 3grams, 2016-08-23 fliesen; Fliesen; 10 # p=1.000, r=0.425, 0+40, 3grams, 2016-08-23 flöße; Flöße; 1 # p=1.000, r=0.611, 1+17, 3grams, 2016-08-23 flotten; Flotten; 1 # p=1.000, r=0.811, 4+70, 3grams, 2016-08-23 fluchten; Fluchten; 1 # p=1.000, r=0.333, 2+7, 3grams, 2016-08-23 fortschritte; Fortschritte; 1 # p=1.000, r=0.894, 0+282, 3grams, 2016-08-23 fortschritten; Fortschritten; 1 # p=1.000, r=0.853, 2+32, 3grams, 2016-08-23 fransen; Fransen; 1 # p=1.000, r=1.000, 0+18, 3grams, 2016-08-23 freigaben; Freigaben; 1 # p=1.000, r=0.556, 2+7, 3grams, 2016-08-23 freiräume; Freiräume; 1 # p=1.000, r=0.815, 0+27, 3grams, 2016-08-23 freitagnachmittags; Freitagnachmittags; 1 # p=1.000, r=1.000, 1+0, 3grams, 2016-08-23 friede; Friede; 1 # p=1.000, r=0.847, 0+320, 3grams, 2016-08-23 frühbarock; Frühbarock; 1 # p=1.000, r=0.848, 0+33, 3grams, 2016-08-23 fugen; Fugen; 10 # p=1.000, r=0.639, 0+83, 3grams, 2016-08-23 fungizide; Fungizide; 100 # p=1.000, r=0.486, 5+30, 3grams, 2016-08-23 fungiziden; Fungiziden; 1 # p=1.000, r=0.417, 2+10, 3grams, 2016-08-23 fungizid; Fungizid; 1 # p=1.000, r=0.389, 3+15, 3grams, 2016-08-23 gärtnern; Gärtnern; 10 # p=1.000, r=0.519, 0+27, 3grams, 2016-08-23 gebrechen; Gebrechen; 1 # p=1.000, r=0.950, 0+20, 3grams, 2016-08-23 gefreiten; Gefreiten; 1 # p=1.000, r=1.000, 0+4, 3grams, 2016-08-23 geige; Geige; 100 # p=1.000, r=0.615, 0+130, 3grams, 2016-08-23 geigen; Geigen; 1 # p=1.000, r=0.583, 4+32, 3grams, 2016-08-23 gesetzestreue; Gesetzestreue; 1 # p=1.000, r=0.714, 3+4, 3grams, 2016-08-23 gewinne; Gewinne; 10 # p=1.000, r=0.798, 18+170, 3grams, 2016-08-23 gewittern; Gewittern; 1 # p=1.000, r=0.974, 0+39, 3grams, 2016-08-23 gläubiger; Gläubiger; 10 # p=1.000, r=0.879, 18+164, 3grams, 2016-08-23 gondeln; Gondeln; 10 # p=1.000, r=0.526, 0+19, 3grams, 2016-08-23 gram; Gram; 1000 # p=1.000, r=0.135, 11+41, 3grams, 2016-08-23 grätsche; Grätsche; 1 # p=1.000, r=0.500, 0+4, 3grams, 2016-08-23 greise; Greise; 1 # p=1.000, r=0.708, 9+15, 3grams, 2016-08-23 gros; Gros; 10 # p=1.000, r=0.639, 4+68, 3grams, 2016-08-23 großtaten; Großtaten; 100 # p=1.000, r=0.400, 0+5, 3grams, 2016-08-23 gülden; Gülden; 1 # p=1.000, r=0.200, 0+5, 3grams, 2016-08-23 gurken; Gurken; 100 # p=1.000, r=0.533, 0+45, 3grams, 2016-08-23 gurte; Gurte; 10 # p=1.000, r=0.385, 1+12, 3grams, 2016-08-23 gurten; Gurten; 1 # p=1.000, r=0.500, 1+11, 3grams, 2016-08-23 guthaben; Guthaben; 10 # p=1.000, r=0.826, 0+46, 3grams, 2016-08-23 haaren; Haaren; 10 # p=1.000, r=0.816, 0+207, 3grams, 2016-08-23 hacke; Hacke; 10 # p=1.000, r=0.750, 4+40, 3grams, 2016-08-23 hacken; Hacken; 100 # p=1.000, r=0.516, 12+19, 3grams, 2016-08-23 hack; Hack; 10 # p=1.000, r=0.135, 5+47, 3grams, 2016-08-23 haken; Haken; 10 # p=1.000, r=0.786, 1+139, 3grams, 2016-08-23 hallen; Hallen; 1 # p=1.000, r=0.510, 8+194, 3grams, 2016-08-23 hamstern; Hamstern; 1 # p=1.000, r=0.429, 2+5, 3grams, 2016-08-23 handarbeiten; Handarbeiten; 1 # p=1.000, r=0.909, 0+11, 3grams, 2016-08-23 härten; Härten; 100 # p=1.000, r=0.538, 8+31, 3grams, 2016-08-23 harze; Harze; 10 # p=1.000, r=0.553, 0+47, 3grams, 2016-08-23 harzen; Harzen; 10 # p=1.000, r=0.478, 0+23, 3grams, 2016-08-23 hautfarben; Hautfarben; 10 # p=1.000, r=0.444, 1+8, 3grams, 2016-08-23 hechte; Hechte; 10 # p=1.000, r=0.714, 0+21, 3grams, 2016-08-23 hecke; Hecke; 10 # p=1.000, r=0.756, 0+45, 3grams, 2016-08-23 hecken; Hecken; 10 # p=1.000, r=0.659, 0+91, 3grams, 2016-08-23 hefte; Hefte; 1 # p=1.000, r=0.683, 3+196, 3grams, 2016-08-23 heimfahrt; Heimfahrt; 1 # p=1.000, r=1.000, 0+22, 3grams, 2016-08-23 herfahrt; Herfahrt; 1 # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23 herzöge; Herzöge; 100 # p=1.000, r=0.733, 0+378, 3grams, 2016-08-23 heurigen; Heurigen; 1 # p=1.000, r=0.462, 2+11, 3grams, 2016-08-23 hiebe; Hiebe; 1 # p=1.000, r=0.889, 0+18, 3grams, 2016-08-23 hieben; Hieben; 1 # p=1.000, r=0.556, 0+9, 3grams, 2016-08-23 hieb; Hieb; 1 # p=1.000, r=0.568, 6+38, 3grams, 2016-08-23 hinfahrt; Hinfahrt; 1 # p=1.000, r=0.833, 0+6, 3grams, 2016-08-23 hippe; Hippe; 10 # p=1.000, r=0.429, 0+7, 3grams, 2016-08-23 hochbarock; Hochbarock; 10 # p=1.000, r=0.700, 0+20, 3grams, 2016-08-23 höhlen; Höhlen; 10 # p=1.000, r=0.676, 1+339, 3grams, 2016-08-23 hülle; Hülle; 10 # p=1.000, r=0.660, 1+234, 3grams, 2016-08-23 humanoide; Humanoide; 1 # p=1.000, r=0.417, 8+4, 3grams, 2016-08-23 humanoiden; Humanoiden; 1 # p=1.000, r=0.167, 9+3, 3grams, 2016-08-23 hungers; Hungers; 1000 # p=1.000, r=0.688, 2+14, 3grams, 2016-08-23 hupe; Hupe; 10 # p=1.000, r=0.333, 0+9, 3grams, 2016-08-23 hüte; Hüte; 1 # p=1.000, r=0.507, 8+65, 3grams, 2016-08-23 hüten; Hüten; 10000 # p=1.000, r=0.404, 40+17, 3grams, 2016-08-23 igeln; Igeln; 1 # p=1.000, r=0.875, 0+8, 3grams, 2016-08-23 illustrierten; Illustrierten; 1 # p=1.000, r=0.707, 23+35, 3grams, 2016-08-23 imperfekt; Imperfekt; 10 # p=1.000, r=0.780, 0+50, 3grams, 2016-08-23 ineinanderstecken; Ineinanderstecken; 1 # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23 initiale; Initiale; 1 # p=1.000, r=0.556, 6+3, 3grams, 2016-08-23 initialen; Initialen; 1 # p=1.000, r=0.761, 6+82, 3grams, 2016-08-23 kacke; Kacke; 1000 # p=1.000, r=0.200, 1+4, 3grams, 2016-08-23 kämme; Kämme; 10 # p=1.000, r=0.542, 5+19, 3grams, 2016-08-23 kante; Kante; 10 # p=1.000, r=0.807, 0+176, 3grams, 2016-08-23 kapern; Kapern; 10 # p=1.000, r=0.350, 9+11, 3grams, 2016-08-23 kapital; Kapital; 1 # p=1.000, r=0.919, 1+405, 3grams, 2016-08-23 kappe; Kappe; 10 # p=1.000, r=0.656, 0+64, 3grams, 2016-08-23 kappen; Kappen; 1 # p=1.000, r=0.708, 1+23, 3grams, 2016-08-23 karre; Karre; 1 # p=1.000, r=1.000, 0+5, 3grams, 2016-08-23 kegeln; Kegeln; 10 # p=1.000, r=0.548, 1+30, 3grams, 2016-08-23 kehlen; Kehlen; 10 # p=1.000, r=0.455, 0+11, 3grams, 2016-08-23 kellern; Kellern; 1 # p=1.000, r=0.926, 0+27, 3grams, 2016-08-23 kesseln; Kesseln; 1000 # p=1.000, r=0.294, 2+15, 3grams, 2016-08-23 keule; Keule; 1 # p=1.000, r=0.729, 0+48, 3grams, 2016-08-23 keulen; Keulen; 10 # p=1.000, r=0.500, 2+22, 3grams, 2016-08-23 kippe; Kippe; 1 # p=1.000, r=1.000, 0+6, 3grams, 2016-08-23 klammer; Klammer; 10 # p=1.000, r=0.810, 1+83, 3grams, 2016-08-23 klänge; Klänge; 10 # p=1.000, r=0.542, 1+119, 3grams, 2016-08-23 klappe; Klappe; 10 # p=1.000, r=0.842, 0+76, 3grams, 2016-08-23 klappen; Klappen; 10000 # p=1.000, r=0.354, 14+82, 3grams, 2016-08-23 klatsch; Klatsch; 10 # p=1.000, r=0.381, 0+21, 3grams, 2016-08-23 klaue; Klaue; 1 # p=1.000, r=0.667, 0+18, 3grams, 2016-08-23 klauen; Klauen; 1000 # p=1.000, r=0.407, 12+47, 3grams, 2016-08-23 klemme; Klemme; 1 # p=1.000, r=0.960, 0+25, 3grams, 2016-08-23 klemmen; Klemmen; 1 # p=1.000, r=0.632, 7+12, 3grams, 2016-08-23 klinge; Klinge; 1 # p=1.000, r=0.769, 6+210, 3grams, 2016-08-23 klingel; Klingel; 1 # p=1.000, r=0.850, 0+20, 3grams, 2016-08-23 klingeln; Klingeln; 1 # p=1.000, r=0.667, 11+16, 3grams, 2016-08-23 klinke; Klinke; 1 # p=1.000, r=1.000, 0+11, 3grams, 2016-08-23 klumpen; Klumpen; 1 # p=1.000, r=0.640, 1+24, 3grams, 2016-08-23 knappen; Knappen; 1000 # p=1.000, r=0.556, 106+27, 3grams, 2016-08-23 knöpfe; Knöpfe; 10 # p=1.000, r=0.578, 0+45, 3grams, 2016-08-23 knöpfen; Knöpfen; 10 # p=1.000, r=0.524, 0+21, 3grams, 2016-08-23 knospen; Knospen; 10 # p=1.000, r=0.679, 2+79, 3grams, 2016-08-23 kommode; Kommode; 1 # p=1.000, r=0.833, 0+12, 3grams, 2016-08-23 kommoden; Kommoden; 1 # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23 kommune; Kommune; 100 # p=1.000, r=0.668, 0+331, 3grams, 2016-08-23 kommunen; Kommunen; 100 # p=1.000, r=0.716, 2+385, 3grams, 2016-08-23 komparativ; Komparativ; 1 # p=1.000, r=0.643, 1+13, 3grams, 2016-08-23 konditionale; Konditionale; 1 # p=1.000, r=1.000, 2+0, 3grams, 2016-08-23 konditional; Konditional; 1 # p=1.000, r=0.217, 2+21, 3grams, 2016-08-23 konjunktiv; Konjunktiv; 1 # p=1.000, r=0.829, 1+75, 3grams, 2016-08-23 konstante; Konstante; 10000 # p=1.000, r=0.225, 160+263, 3grams, 2016-08-23 köpfe; Köpfe; 100 # p=1.000, r=0.674, 1+220, 3grams, 2016-08-23 köpfen; Köpfen; 100 # p=1.000, r=0.713, 3+84, 3grams, 2016-08-23 kotze; Kotze; 1 # p=1.000, r=0.200, 0+5, 3grams, 2016-08-23 krähe; Krähe; 10 # p=1.000, r=0.629, 1+34, 3grams, 2016-08-23 krähen; Krähen; 1 # p=1.000, r=0.745, 11+40, 3grams, 2016-08-23 kralle; Kralle; 10 # p=1.000, r=0.538, 0+26, 3grams, 2016-08-23 krallen; Krallen; 10 # p=1.000, r=0.742, 2+130, 3grams, 2016-08-23 krebse; Krebse; 1 # p=1.000, r=0.820, 0+50, 3grams, 2016-08-23 krebsen; Krebsen; 1 # p=1.000, r=1.000, 0+34, 3grams, 2016-08-23 kreide; Kreide; 100 # p=1.000, r=0.630, 0+173, 3grams, 2016-08-23 kreuze; Kreuze; 1000 # p=1.000, r=0.475, 2+99, 3grams, 2016-08-23 kreuz; Kreuz; 10 # p=1.000, r=0.773, 11+1000, 3grams, 2016-08-23 kringeln; Kringeln; 1 # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23 kristallen; Kristallen; 10 # p=1.000, r=0.717, 0+92, 3grams, 2016-08-23 kugeln; Kugeln; 10 # p=1.000, r=0.714, 2+236, 3grams, 2016-08-23 kuppeln; Kuppeln; 10 # p=1.000, r=0.567, 3+64, 3grams, 2016-08-23 kurve; Kurve; 1 # p=1.000, r=0.684, 3+370, 3grams, 2016-08-23 küsse; Küsse; 1 # p=1.000, r=0.532, 13+34, 3grams, 2016-08-23 küssen; Küssen; 100 # p=1.000, r=0.598, 86+26, 3grams, 2016-08-23 kutschen; Kutschen; 10 # p=1.000, r=0.491, 0+55, 3grams, 2016-08-23 lappen; Lappen; 10 # p=1.000, r=0.623, 0+69, 3grams, 2016-08-23 lasern; Lasern; 10 # p=1.000, r=0.313, 0+32, 3grams, 2016-08-23 lauf; Lauf; 10 # p=1.000, r=0.699, 15+816, 3grams, 2016-08-23 leck; Leck; 1 # p=1.000, r=0.548, 2+40, 3grams, 2016-08-23 lehne; Lehne; 10000 # p=1.000, r=0.679, 15+13, 3grams, 2016-08-23 leinen; Leinen; 100 # p=1.000, r=0.510, 0+145, 3grams, 2016-08-23 leiste; Leiste; 1 # p=1.000, r=0.735, 10+24, 3grams, 2016-08-23 leuchte; Leuchte; 1 # p=1.000, r=0.765, 1+16, 3grams, 2016-08-23 lichter; Lichter; 1 # p=1.000, r=0.787, 7+101, 3grams, 2016-08-23 liege; Liege; 100 # p=1.000, r=0.566, 101+12, 3grams, 2016-08-23 lingua; Lingua; 10000 # p=1.000, r=0.198, 42+39, 3grams, 2016-08-23 linsen; Linsen; 10 # p=1.000, r=0.642, 2+202, 3grams, 2016-08-23 löchern; Löchern; 10 # p=1.000, r=0.763, 0+59, 3grams, 2016-08-23 locken; Locken; 100 # p=1.000, r=0.480, 86+16, 3grams, 2016-08-23 logo; Logo; 1 # p=1.000, r=0.652, 3+397, 3grams, 2016-08-23 lokal; Lokal; 100 # p=1.000, r=0.348, 342+103, 3grams, 2016-08-23 luden; Luden; 1 # p=1.000, r=0.767, 26+4, 3grams, 2016-08-23 lüfte; Lüfte; 10 # p=1.000, r=0.647, 3+31, 3grams, 2016-08-23 lügen; Lügen; 10000 # p=1.000, r=0.256, 108+146, 3grams, 2016-08-23 lumpen; Lumpen; 1 # p=1.000, r=0.731, 3+23, 3grams, 2016-08-23 manifeste; Manifeste; 1 # p=1.000, r=0.500, 5+23, 3grams, 2016-08-23 manifestes; Manifestes; 1 # p=1.000, r=0.867, 3+12, 3grams, 2016-08-23 maniküre; Maniküre; 1 # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23 marinen; Marinen; 100 # p=1.000, r=0.326, 54+41, 3grams, 2016-08-23 markern; Markern; 10 # p=1.000, r=0.167, 0+6, 3grams, 2016-08-23 maßschneidern; Maßschneidern; 1 # p=1.000, r=1.000, 1+0, 3grams, 2016-08-23 matte; Matte; 1 # p=1.000, r=0.583, 7+29, 3grams, 2016-08-23 matten; Matten; 1 # p=1.000, r=0.712, 6+53, 3grams, 2016-08-23 mitschnitte; Mitschnitte; 1000 # p=1.000, r=0.143, 0+35, 3grams, 2016-08-23 mitschnitten; Mitschnitten; 1 # p=1.000, r=0.800, 0+5, 3grams, 2016-08-23 mitschnitt; Mitschnitt; 10 # p=1.000, r=0.338, 0+74, 3grams, 2016-08-23 mittags; Mittags; 1000 # p=1.000, r=0.161, 66+21, 3grams, 2016-08-23 morde; Morde; 10000 # p=1.000, r=0.442, 2+136, 3grams, 2016-08-23 morden; Morden; 10 # p=1.000, r=0.662, 8+63, 3grams, 2016-08-23 mühen; Mühen; 1 # p=1.000, r=0.914, 0+35, 3grams, 2016-08-23 munde; Munde; 100 # p=1.000, r=0.795, 1+38, 3grams, 2016-08-23 münze; Münze; 100 # p=1.000, r=0.569, 1+363, 3grams, 2016-08-23 nachbeben; Nachbeben; 10 # p=1.000, r=0.333, 0+9, 3grams, 2016-08-23 nachdrucke; Nachdrucke; 100 # p=1.000, r=0.596, 0+57, 3grams, 2016-08-23 nachfragen; Nachfragen; 1 # p=1.000, r=0.677, 13+18, 3grams, 2016-08-23 nachklänge; Nachklänge; 1 # p=1.000, r=1.000, 0+3, 3grams, 2016-08-23 nachkomme; Nachkomme; 10 # p=1.000, r=0.761, 0+67, 3grams, 2016-08-23 nachlese; Nachlese; 1 # p=1.000, r=0.533, 0+15, 3grams, 2016-08-23 nachlesen; Nachlesen; 1 # p=1.000, r=0.938, 14+2, 3grams, 2016-08-23 nachrede; Nachrede; 1 # p=1.000, r=0.875, 0+16, 3grams, 2016-08-23 nachreden; Nachreden; 1 # p=1.000, r=1.000, 1+0, 3grams, 2016-08-23 nachrufe; Nachrufe; 1 # p=1.000, r=0.310, 0+29, 3grams, 2016-08-23 nachweise; Nachweise; 10 # p=1.000, r=0.748, 0+135, 3grams, 2016-08-23 nachwuchs; Nachwuchs; 100 # p=1.000, r=0.582, 1+181, 3grams, 2016-08-23 näherbringen; Näherbringen; 1 # p=1.000, r=1.000, 4+0, 3grams, 2016-08-23 nähte; Nähte; 10 # p=1.000, r=0.714, 12+16, 3grams, 2016-08-23 nähten; Nähten; 1 # p=1.000, r=0.727, 3+8, 3grams, 2016-08-23 naht; Naht; 1 # p=1.000, r=0.702, 22+25, 3grams, 2016-08-23 narren; Narren; 10 # p=1.000, r=0.670, 2+110, 3grams, 2016-08-23 naturfarben; Naturfarben; 100 # p=1.000, r=0.143, 0+7, 3grams, 2016-08-23 notfalls; Notfalls; 10 # p=1.000, r=0.672, 55+9, 3grams, 2016-08-23 offensiven; Offensiven; 10 # p=1.000, r=0.692, 23+16, 3grams, 2016-08-23 ohrfeigen; Ohrfeigen; 1 # p=1.000, r=0.750, 4+4, 3grams, 2016-08-23 ohrfeige; Ohrfeige; 1 # p=1.000, r=1.000, 0+30, 3grams, 2016-08-23 oliven; Oliven; 10 # p=1.000, r=0.640, 0+75, 3grams, 2016-08-23 olive; Olive; 1 # p=1.000, r=0.417, 1+47, 3grams, 2016-08-23 oliver; Oliver; 100 # p=1.000, r=0.386, 1+901, 3grams, 2016-08-23 orakeln; Orakeln; 1 # p=1.000, r=0.875, 0+8, 3grams, 2016-08-23 orgeln; Orgeln; 10 # p=1.000, r=0.479, 0+119, 3grams, 2016-08-23 pappen; Pappen; 1 # p=1.000, r=1.000, 0+5, 3grams, 2016-08-23 pappe; Pappe; 10 # p=1.000, r=0.793, 0+82, 3grams, 2016-08-23 parallele; Parallele; 1000 # p=1.000, r=0.410, 142+53, 3grams, 2016-08-23 pauken; Pauken; 10000 # p=1.000, r=0.481, 5+47, 3grams, 2016-08-23 pauke; Pauke; 1 # p=1.000, r=0.875, 0+16, 3grams, 2016-08-23 pauschalen; Pauschalen; 1 # p=1.000, r=0.682, 17+5, 3grams, 2016-08-23 pauschale; Pauschale; 1 # p=1.000, r=0.826, 12+11, 3grams, 2016-08-23 perlen; Perlen; 10 # p=1.000, r=0.558, 3+101, 3grams, 2016-08-23 perle; Perle; 10 # p=1.000, r=0.667, 0+84, 3grams, 2016-08-23 pfeife; Pfeife; 10 # p=1.000, r=0.589, 10+80, 3grams, 2016-08-23 pfiffe; Pfiffe; 10 # p=1.000, r=0.571, 0+7, 3grams, 2016-08-23 pflanze; Pflanze; 10 # p=1.000, r=0.880, 5+706, 3grams, 2016-08-23 pfropfen; Pfropfen; 10 # p=1.000, r=0.615, 1+12, 3grams, 2016-08-23 pinne; Pinne; 1 # p=1.000, r=0.667, 0+12, 3grams, 2016-08-23 platte; Platte; 1 # p=1.000, r=0.725, 9+620, 3grams, 2016-08-23 pleite; Pleite; 1 # p=1.000, r=0.682, 22+22, 3grams, 2016-08-23 posaunen; Posaunen; 10 # p=1.000, r=0.696, 1+45, 3grams, 2016-08-23 posaune; Posaune; 10 # p=1.000, r=0.663, 0+98, 3grams, 2016-08-23 pressen; Pressen; 10 # p=1.000, r=0.671, 29+56, 3grams, 2016-08-23 pritschen; Pritschen; 1 # p=1.000, r=0.250, 0+4, 3grams, 2016-08-23 pritsche; Pritsche; 1 # p=1.000, r=0.750, 0+4, 3grams, 2016-08-23 probe; Probe; 10 # p=1.000, r=0.739, 1+325, 3grams, 2016-08-23 pseudonymen; Pseudonymen; 1 # p=1.000, r=0.883, 1+59, 3grams, 2016-08-23 pseudonyme; Pseudonyme; 1 # p=1.000, r=0.707, 2+39, 3grams, 2016-08-23 pulten; Pulten; 1 # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23 pulte; Pulte; 10 # p=1.000, r=0.625, 0+8, 3grams, 2016-08-23 puzzle; Puzzle; 10 # p=1.000, r=0.420, 6+44, 3grams, 2016-08-23 quartiere; Quartiere; 10 # p=1.000, r=0.701, 1+66, 3grams, 2016-08-23 rädern; Rädern; 1000 # p=1.000, r=0.504, 1+112, 3grams, 2016-08-23 rahmen; Rahmen; 1 # p=1.000, r=0.956, 7+1000, 3grams, 2016-08-23 rängen; Rängen; 10 # p=1.000, r=0.667, 0+27, 3grams, 2016-08-23 ränge; Ränge; 1 # p=1.000, r=0.855, 0+76, 3grams, 2016-08-23 rasen; Rasen; 1 # p=1.000, r=0.676, 9+136, 3grams, 2016-08-23 rast; Rast; 10 # p=1.000, r=0.441, 14+45, 3grams, 2016-08-23 ratschen; Ratschen; 1 # p=1.000, r=0.429, 0+7, 3grams, 2016-08-23 ratsche; Ratsche; 1 # p=1.000, r=0.714, 0+7, 3grams, 2016-08-23 rauch; Rauch; 10 # p=1.000, r=0.642, 0+399, 3grams, 2016-08-23 räumen; Räumen; 1 # p=1.000, r=0.855, 125+379, 3grams, 2016-08-23 reiben; Reiben; 1 # p=1.000, r=0.750, 25+27, 3grams, 2016-08-23 reibe; Reibe; 1 # p=1.000, r=0.500, 1+3, 3grams, 2016-08-23 reife; Reife; 10 # p=1.000, r=0.770, 26+191, 3grams, 2016-08-23 reihen; Reihen; 10 # p=1.000, r=0.801, 23+555, 3grams, 2016-08-23 reize; Reize; 10 # p=1.000, r=0.801, 0+136, 3grams, 2016-08-23 rentieren; Rentieren; 1 # p=1.000, r=0.714, 6+8, 3grams, 2016-08-23 rentiere; Rentiere; 10 # p=1.000, r=0.543, 1+45, 3grams, 2016-08-23 resonant; Resonant; 10 # p=1.000, r=0.400, 3+2, 3grams, 2016-08-23 retrospektive; Retrospektive; 1 # p=1.000, r=0.567, 7+127, 3grams, 2016-08-23 rezitativ; Rezitativ; 1 # p=1.000, r=0.548, 0+31, 3grams, 2016-08-23 riegeln; Riegeln; 1 # p=1.000, r=1.000, 2+2, 3grams, 2016-08-23 robbe; Robbe; 10 # p=1.000, r=0.333, 0+24, 3grams, 2016-08-23 rückfrage; Rückfrage; 1 # p=1.000, r=1.000, 0+12, 3grams, 2016-08-23 rüde; Rüde; 1 # p=1.000, r=0.222, 5+13, 3grams, 2016-08-23 rundweg; Rundweg; 10 # p=1.000, r=0.442, 9+43, 3grams, 2016-08-23 rutschen; Rutschen; 1 # p=1.000, r=0.632, 23+15, 3grams, 2016-08-23 rutsche; Rutsche; 1 # p=1.000, r=0.526, 1+18, 3grams, 2016-08-23 sachverständigen; Sachverständigen; 1 # p=1.000, r=0.750, 2+46, 3grams, 2016-08-23 sachverständiger; Sachverständiger; 1 # p=1.000, r=0.944, 0+18, 3grams, 2016-08-23 sachverständige; Sachverständige; 1 # p=1.000, r=0.808, 5+21, 3grams, 2016-08-23 sägen; Sägen; 10000 # p=1.000, r=0.290, 9+22, 3grams, 2016-08-23 sägen; Sägen; 100 # p=1.000, r=0.452, 9+22, 3grams, 2016-08-23 säge; Säge; 10000 # p=1.000, r=0.324, 0+34, 3grams, 2016-08-23 sage; Sage; 10000 # p=1.000, r=0.601, 306+611, 3grams, 2016-08-23 säge; Säge; 1000 # p=1.000, r=0.412, 0+34, 3grams, 2016-08-23 säge; Säge; 100 # p=1.000, r=0.441, 0+34, 3grams, 2016-08-23 säge; Säge; 10 # p=1.000, r=0.529, 0+34, 3grams, 2016-08-23 salben; Salben; 10 # p=1.000, r=0.667, 6+27, 3grams, 2016-08-23 salbe; Salbe; 1 # p=1.000, r=0.880, 2+23, 3grams, 2016-08-23 salze; Salze; 10 # p=1.000, r=0.766, 1+273, 3grams, 2016-08-23 sandstrahlen; Sandstrahlen; 1 # p=1.000, r=1.000, 0+6, 3grams, 2016-08-23 säumen; Säumen; 1 # p=1.000, r=0.321, 24+4, 3grams, 2016-08-23 säume; Säume; 1 # p=1.000, r=1.000, 0+7, 3grams, 2016-08-23 schachteln; Schachteln; 1 # p=1.000, r=0.850, 1+19, 3grams, 2016-08-23 schächten; Schächten; 10 # p=1.000, r=0.553, 0+38, 3grams, 2016-08-23 schal; Schal; 1 # p=1.000, r=0.735, 6+28, 3grams, 2016-08-23 schanzen; Schanzen; 10 # p=1.000, r=0.639, 0+36, 3grams, 2016-08-23 schanze; Schanze; 10 # p=1.000, r=0.427, 0+103, 3grams, 2016-08-23 schärfe; Schärfe; 1 # p=1.000, r=0.819, 1+104, 3grams, 2016-08-23 schätze; Schätze; 1 # p=1.000, r=0.780, 58+128, 3grams, 2016-08-23 schäume; Schäume; 10 # p=1.000, r=0.200, 0+5, 3grams, 2016-08-23 scheide; Scheide; 100 # p=1.000, r=0.707, 3+79, 3grams, 2016-08-23 scheine; Scheine; 100 # p=1.000, r=0.426, 17+51, 3grams, 2016-08-23 scheitern; Scheitern; 100 # p=1.000, r=0.833, 137+312, 3grams, 2016-08-23 scheren; Scheren; 1 # p=1.000, r=0.549, 15+36, 3grams, 2016-08-23 scherzen; Scherzen; 1 # p=1.000, r=0.821, 14+14, 3grams, 2016-08-23 scherze; Scherze; 1 # p=1.000, r=0.556, 7+47, 3grams, 2016-08-23 schiene; Schiene; 1 # p=1.000, r=0.684, 1+154, 3grams, 2016-08-23 schippe; Schippe; 1 # p=1.000, r=0.778, 0+9, 3grams, 2016-08-23 schlachtreife; Schlachtreife; 1 # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23 schlampen; Schlampen; 1 # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23 schlampe; Schlampe; 10 # p=1.000, r=0.667, 0+12, 3grams, 2016-08-23 schlangen; Schlangen; 10 # p=1.000, r=0.693, 2+285, 3grams, 2016-08-23 schleifen; Schleifen; 10000 # p=1.000, r=0.295, 21+125, 3grams, 2016-08-23 schleife; Schleife; 10 # p=1.000, r=0.565, 1+185, 3grams, 2016-08-23 schleuse; Schleuse; 10 # p=1.000, r=0.623, 0+228, 3grams, 2016-08-23 schlingen; Schlingen; 1 # p=1.000, r=0.737, 1+18, 3grams, 2016-08-23 schlinge; Schlinge; 1 # p=1.000, r=0.923, 1+25, 3grams, 2016-08-23 schluck; Schluck; 10 # p=1.000, r=0.649, 1+36, 3grams, 2016-08-23 schlüsseln; Schlüsseln; 1 # p=1.000, r=0.667, 1+53, 3grams, 2016-08-23 schmelze; Schmelze; 1 # p=1.000, r=0.853, 1+108, 3grams, 2016-08-23 schnallen; Schnallen; 1 # p=1.000, r=0.500, 9+13, 3grams, 2016-08-23 schnalle; Schnalle; 1 # p=1.000, r=0.444, 0+9, 3grams, 2016-08-23 schnauze; Schnauze; 10 # p=1.000, r=0.739, 0+115, 3grams, 2016-08-23 schnitte; Schnitte; 10 # p=1.000, r=0.645, 0+62, 3grams, 2016-08-23 schnupfen; Schnupfen; 1 # p=1.000, r=0.654, 1+25, 3grams, 2016-08-23 schollen; Schollen; 10 # p=1.000, r=0.450, 1+19, 3grams, 2016-08-23 schränke; Schränke; 1 # p=1.000, r=0.875, 4+12, 3grams, 2016-08-23 schraube; Schraube; 10 # p=1.000, r=0.850, 0+100, 3grams, 2016-08-23 schrei; Schrei; 10 # p=1.000, r=0.650, 6+117, 3grams, 2016-08-23 schritten; Schritten; 1 # p=1.000, r=0.815, 18+220, 3grams, 2016-08-23 schritte; Schritte; 1 # p=1.000, r=0.914, 1+443, 3grams, 2016-08-23 schuften; Schuften; 10 # p=1.000, r=0.400, 3+2, 3grams, 2016-08-23 schuft; Schuft; 1 # p=1.000, r=0.800, 0+5, 3grams, 2016-08-23 schulmeistern; Schulmeistern; 1 # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23 schürzen; Schürzen; 1 # p=1.000, r=0.700, 1+9, 3grams, 2016-08-23 schürze; Schürze; 1 # p=1.000, r=0.611, 0+18, 3grams, 2016-08-23 schwämmen; Schwämmen; 1 # p=1.000, r=0.880, 1+24, 3grams, 2016-08-23 schwämme; Schwämme; 10 # p=1.000, r=0.529, 0+34, 3grams, 2016-08-23 schwamm; Schwamm; 1 # p=1.000, r=0.736, 28+44, 3grams, 2016-08-23 schwänzen; Schwänzen; 1 # p=1.000, r=0.500, 6+8, 3grams, 2016-08-23 schwärze; Schwärze; 10 # p=1.000, r=0.375, 0+8, 3grams, 2016-08-23 schwebe; Schwebe; 1 # p=1.000, r=0.905, 3+18, 3grams, 2016-08-23 schwellen; Schwellen; 1000 # p=1.000, r=0.314, 9+61, 3grams, 2016-08-23 sehnen; Sehnen; 1 # p=1.000, r=0.836, 12+61, 3grams, 2016-08-23 sehne; Sehne; 1 # p=1.000, r=0.909, 13+42, 3grams, 2016-08-23 seife; Seife; 1 # p=1.000, r=0.863, 0+73, 3grams, 2016-08-23 seins; Seins; 10 # p=1.000, r=0.844, 10+131, 3grams, 2016-08-23 siebe; Siebe; 1 # p=1.000, r=0.867, 0+15, 3grams, 2016-08-23 solitär; Solitär; 1 # p=1.000, r=0.500, 5+9, 3grams, 2016-08-23 sommers; Sommers; 10 # p=1.000, r=0.802, 3+88, 3grams, 2016-08-23 sonnen; Sonnen; 10 # p=1.000, r=0.295, 7+98, 3grams, 2016-08-23 speisen; Speisen; 100 # p=1.000, r=0.582, 32+236, 3grams, 2016-08-23 speise; Speise; 10 # p=1.000, r=0.536, 2+82, 3grams, 2016-08-23 spinne; Spinne; 10 # p=1.000, r=0.653, 0+101, 3grams, 2016-08-23 spritze; Spritze; 1 # p=1.000, r=0.913, 0+23, 3grams, 2016-08-23 spucke; Spucke; 10 # p=1.000, r=0.200, 1+4, 3grams, 2016-08-23 stände; Stände; 1 # p=1.000, r=0.904, 2+322, 3grams, 2016-08-23 stereotypen; Stereotypen; 1 # p=1.000, r=0.611, 6+30, 3grams, 2016-08-23 stereotyp; Stereotyp; 1 # p=1.000, r=0.632, 3+16, 3grams, 2016-08-23 stich; Stich; 10 # p=1.000, r=0.665, 1+277, 3grams, 2016-08-23 stille; Stille; 100 # p=1.000, r=0.481, 101+217, 3grams, 2016-08-23 stör; Stör; 1 # p=1.000, r=0.500, 1+41, 3grams, 2016-08-23 stoß; Stoß; 10 # p=1.000, r=0.660, 1+140, 3grams, 2016-08-23 strecke; Strecke; 10 # p=1.000, r=0.844, 3+1000, 3grams, 2016-08-23 streiche; Streiche; 10 # p=1.000, r=0.561, 6+35, 3grams, 2016-08-23 streife; Streife; 1 # p=1.000, r=1.000, 0+4, 3grams, 2016-08-23 streu; Streu; 1 # p=1.000, r=0.767, 0+30, 3grams, 2016-08-23 strichen; Strichen; 1 # p=1.000, r=0.714, 6+29, 3grams, 2016-08-23 striche; Striche; 1 # p=1.000, r=0.767, 1+59, 3grams, 2016-08-23 stricke; Stricke; 1 # p=1.000, r=1.000, 0+11, 3grams, 2016-08-23 strolche; Strolche; 1 # p=1.000, r=1.000, 0+5, 3grams, 2016-08-23 stunden; Stunden; 1 # p=1.000, r=0.911, 2+1000, 3grams, 2016-08-23 stürme; Stürme; 10 # p=1.000, r=0.615, 0+109, 3grams, 2016-08-23 stütze; Stütze; 1 # p=1.000, r=0.912, 6+85, 3grams, 2016-08-23 sühne; Sühne; 1 # p=1.000, r=0.807, 0+57, 3grams, 2016-08-23 summen; Summen; 10000 # p=1.000, r=0.474, 9+128, 3grams, 2016-08-23 superior; Superior; 100 # p=1.000, r=0.320, 65+60, 3grams, 2016-08-23 taste; Taste; 1 # p=1.000, r=0.608, 0+204, 3grams, 2016-08-23 tausch; Tausch; 1 # p=1.000, r=0.828, 0+145, 3grams, 2016-08-23 termintreue; Termintreue; 1 # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23 textil; Textil; 10 # p=1.000, r=0.150, 5+115, 3grams, 2016-08-23 tigern; Tigern; 1 # p=1.000, r=0.652, 0+23, 3grams, 2016-08-23 tipp; Tipp; 10 # p=1.000, r=0.462, 0+39, 3grams, 2016-08-23 tischen; Tischen; 10 # p=1.000, r=0.735, 1+33, 3grams, 2016-08-23 topp; Topp; 1 # p=1.000, r=0.545, 3+8, 3grams, 2016-08-23 totem; Totem; 1 # p=1.000, r=0.724, 5+24, 3grams, 2016-08-23 trage; Trage; 10 # p=1.000, r=0.687, 79+20, 3grams, 2016-08-23 tramp; Tramp; 100 # p=1.000, r=0.267, 1+14, 3grams, 2016-08-23 träne; Träne; 10 # p=1.000, r=0.774, 0+31, 3grams, 2016-08-23 traubige; Traubige; 1 # p=1.000, r=0.714, 7+0, 3grams, 2016-08-23 träumen; Träumen; 10 # p=1.000, r=0.654, 69+93, 3grams, 2016-08-23 träume; Träume; 1000 # p=1.000, r=0.539, 46+347, 3grams, 2016-08-23 trieb; Trieb; 1 # p=1.000, r=0.728, 191+74, 3grams, 2016-08-23 türke; Türke; 1 # p=1.000, r=0.813, 0+16, 3grams, 2016-08-23 türme; Türme; 10 # p=1.000, r=0.739, 1+356, 3grams, 2016-08-23 übergriff; Übergriff; 1 # p=1.000, r=0.875, 12+12, 3grams, 2016-08-23 ultra; Ultra; 10 # p=1.000, r=0.133, 12+78, 3grams, 2016-08-23 umhänge; Umhänge; 1 # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23 umlaute; Umlaute; 100 # p=1.000, r=0.396, 0+48, 3grams, 2016-08-23 umrissen; Umrissen; 10 # p=1.000, r=0.833, 11+7, 3grams, 2016-08-23 umriss; Umriss; 1 # p=1.000, r=0.500, 5+27, 3grams, 2016-08-23 umtrieben; Umtrieben; 10 # p=1.000, r=0.500, 0+4, 3grams, 2016-08-23 umtrieb; Umtrieb; 1 # p=1.000, r=1.000, 0+4, 3grams, 2016-08-23 untiefen; Untiefen; 10 # p=1.000, r=0.571, 0+21, 3grams, 2016-08-23 untiefe; Untiefe; 1 # p=1.000, r=0.769, 0+13, 3grams, 2016-08-23 verdeck; Verdeck; 10 # p=1.000, r=0.462, 0+13, 3grams, 2016-08-23 verdienst; Verdienst; 1 # p=1.000, r=0.920, 13+125, 3grams, 2016-08-23 vereine; Vereine; 10 # p=1.000, r=0.737, 5+797, 3grams, 2016-08-23 vergleiche; Vergleiche; 10000 # p=1.000, r=0.186, 139+168, 3grams, 2016-08-23 vergnügen; Vergnügen; 10 # p=1.000, r=0.873, 14+223, 3grams, 2016-08-23 verhau; Verhau; 1 # p=1.000, r=0.667, 0+3, 3grams, 2016-08-23 verhöre; Verhöre; 10 # p=1.000, r=0.625, 0+16, 3grams, 2016-08-23 verlangen; Verlangen; 10 # p=1.000, r=0.798, 278+137, 3grams, 2016-08-23 verleihe; Verleihe; 10 # p=1.000, r=0.375, 6+2, 3grams, 2016-08-23 vermerken; Vermerken; 1 # p=1.000, r=0.957, 19+4, 3grams, 2016-08-23 vermerke; Vermerke; 1 # p=1.000, r=0.875, 0+8, 3grams, 2016-08-23 vertrieb; Vertrieb; 1000 # p=1.000, r=0.582, 85+233, 3grams, 2016-08-23 verweise; Verweise; 1000 # p=1.000, r=0.292, 9+104, 3grams, 2016-08-23 virtuosen; Virtuosen; 100 # p=1.000, r=0.125, 9+15, 3grams, 2016-08-23 visionäre; Visionäre; 1 # p=1.000, r=0.563, 10+6, 3grams, 2016-08-23 vögel; Vögel; 10 # p=1.000, r=0.771, 0+1000, 3grams, 2016-08-23 vokalen; Vokalen; 1000 # p=1.000, r=0.553, 11+103, 3grams, 2016-08-23 vokales; Vokales; 1 # p=1.000, r=1.000, 0+1, 3grams, 2016-08-23 vokal; Vokal; 10 # p=1.000, r=0.629, 5+246, 3grams, 2016-08-23 vollmacht; Vollmacht; 1 # p=1.000, r=0.904, 0+73, 3grams, 2016-08-23 vorarbeiten; Vorarbeiten; 1 # p=1.000, r=0.863, 2+71, 3grams, 2016-08-23 voraussagen; Voraussagen; 1 # p=1.000, r=0.659, 27+17, 3grams, 2016-08-23 voraussage; Voraussage; 1 # p=1.000, r=0.765, 0+17, 3grams, 2016-08-23 vorbehalte; Vorbehalte; 1 # p=1.000, r=0.878, 0+82, 3grams, 2016-08-23 vorgriffe; Vorgriffe; 1 # p=1.000, r=1.000, 0+2, 3grams, 2016-08-23 vorhersage; Vorhersage; 100 # p=1.000, r=0.755, 0+106, 3grams, 2016-08-23 vorreden; Vorreden; 1 # p=1.000, r=1.000, 0+7, 3grams, 2016-08-23 vorrede; Vorrede; 1 # p=1.000, r=0.830, 0+47, 3grams, 2016-08-23 vorsorge; Vorsorge; 1 # p=1.000, r=0.750, 2+42, 3grams, 2016-08-23 vortrieb; Vortrieb; 10 # p=1.000, r=0.407, 0+54, 3grams, 2016-08-23 wache; Wache; 1 # p=1.000, r=0.701, 11+86, 3grams, 2016-08-23 weihen; Weihen; 10 # p=1.000, r=0.565, 27+58, 3grams, 2016-08-23 weihe; Weihe; 1 # p=1.000, r=0.799, 2+182, 3grams, 2016-08-23 weile; Weile; 1 # p=1.000, r=1.000, 1+171, 3grams, 2016-08-23 wellenreiten; Wellenreiten; 100 # p=1.000, r=0.176, 3+14, 3grams, 2016-08-23 wende; Wende; 1 # p=1.000, r=0.914, 14+740, 3grams, 2016-08-23 wendischer; Wendischer; 10 # p=1.000, r=0.167, 3+3, 3grams, 2016-08-23 wendisches; Wendisches; 1 # p=1.000, r=0.500, 1+1, 3grams, 2016-08-23 werktreue; Werktreue; 10 # p=1.000, r=0.600, 0+5, 3grams, 2016-08-23 wicht; Wicht; 1 # p=1.000, r=0.200, 0+5, 3grams, 2016-08-23 wienern; Wienern; 1 # p=1.000, r=0.667, 0+6, 3grams, 2016-08-23 wiese; Wiese; 10 # p=1.000, r=0.683, 0+262, 3grams, 2016-08-23 winden; Winden; 1 # p=1.000, r=0.714, 8+69, 3grams, 2016-08-23 winde; Winde; 10 # p=1.000, r=0.775, 1+252, 3grams, 2016-08-23 winkeln; Winkeln; 10 # p=1.000, r=0.643, 1+55, 3grams, 2016-08-23 wohlergehen; Wohlergehen; 100 # p=1.000, r=0.804, 0+46, 3grams, 2016-08-23 wunders; Wunders; 10 # p=1.000, r=0.813, 1+15, 3grams, 2016-08-23 würfel; Würfel; 100 # p=1.000, r=0.638, 0+213, 3grams, 2016-08-23 würze; Würze; 10 # p=1.000, r=0.464, 1+27, 3grams, 2016-08-23 zäunen; Zäunen; 1 # p=1.000, r=1.000, 0+14, 3grams, 2016-08-23 zäune; Zäune; 10 # p=1.000, r=0.789, 0+19, 3grams, 2016-08-23 zechen; Zechen; 1 # p=1.000, r=0.786, 0+42, 3grams, 2016-08-23 zeche; Zeche; 100 # p=1.000, r=0.675, 0+206, 3grams, 2016-08-23 zehntel; Zehntel; 100 # p=1.000, r=0.739, 5+87, 3grams, 2016-08-23 zelten; Zelten; 10 # p=1.000, r=0.647, 10+41, 3grams, 2016-08-23 zelte; Zelte; 1 # p=1.000, r=0.714, 0+49, 3grams, 2016-08-23 zetteln; Zetteln; 1 # p=1.000, r=1.000, 0+9, 3grams, 2016-08-23 zeuge; Zeuge; 10 # p=1.000, r=0.764, 3+192, 3grams, 2016-08-23 zier; Zier; 1 # p=1.000, r=0.156, 0+32, 3grams, 2016-08-23 zinken; Zinken; 10 # p=1.000, r=0.545, 0+44, 3grams, 2016-08-23 zinke; Zinke; 1 # p=1.000, r=0.706, 0+17, 3grams, 2016-08-23 zirkeln; Zirkeln; 1 # p=1.000, r=0.813, 0+16, 3grams, 2016-08-23 zuchtreife; Zuchtreife; 1 # p=1.000, r=1.000, 1+0, 3grams, 2016-08-23 zufahrt; Zufahrt; 1 # p=1.000, r=0.911, 0+45, 3grams, 2016-08-23 zügel; Zügel; 1 # p=1.000, r=0.941, 0+17, 3grams, 2016-08-23 zugriffen; Zugriffen; 10 # p=1.000, r=0.625, 1+15, 3grams, 2016-08-23 zugriffe; Zugriffe; 100 # p=1.000, r=0.729, 0+48, 3grams, 2016-08-23 zusagen; Zusagen; 10 # p=1.000, r=0.791, 5+38, 3grams, 2016-08-23 zusage; Zusage; 1 # p=1.000, r=0.975, 0+80, 3grams, 2016-08-23 zusammenhängen; Zusammenhängen; 1 # p=1.000, r=0.802, 75+117, 3grams, 2016-08-23 zusammenklang; Zusammenklang; 10 # p=1.000, r=0.778, 0+9, 3grams, 2016-08-23 zutaten; Zutaten; 100 # p=1.000, r=0.493, 0+146, 3grams, 2016-08-23 zutat; Zutat; 100 # p=1.000, r=0.590, 0+39, 3grams, 2016-08-23 zutun; Zutun; 1 # p=1.000, r=1.000, 1+32, 3grams, 2016-08-23 zweien; Zweien; 10 # p=1.000, r=0.800, 42+3, 3grams, 2016-08-23 zwinge; Zwinge; 1 # p=1.000, r=0.538, 7+6, 3grams, 2016-08-23 zwölftel; Zwölftel; 1 # p=1.000, r=0.778, 0+9, 3grams, 2016-08-23 #Leitungsträger; Leistungsträger ## Results from GermanUmlautConfusionPairs filtered by AutomaticConfusionRuleEvaluatorFilterPremium. ## This is in candidates here as a quick test on Tatoeba revealed some false alarms - not many, but ## some simple sentences caused a false alarm, so it's not active yet. #Abdrucken -> Abdrücken; 1000 # p=0.952 r=0.119 f0.5=0.397 35+168 2020-02-14 f0.1=0.89 FA/10k=0.000 (commented due to precision < 0.99) Abfällen -> Abfallen; 1000 # p=1.000 r=0.671 f0.5=0.911 892+155 2020-02-14 f0.1=1.00 FA/10k=0.000 Abfallen -> Abfällen; 1000 # p=1.000 r=0.669 f0.5=0.910 155+892 2020-02-14 f0.1=1.00 FA/10k=0.000 #Abfuhren -> Abführen; 10 # p=0.980 r=0.820 f0.5=0.943 9+61 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Abläufen -> Ablaufen; 1000 # p=1.000 r=0.653 f0.5=0.904 421+98 2020-02-14 f0.1=0.99 FA/10k=0.000 Ablaufen -> Abläufen; 100 # p=0.993 r=0.708 f0.5=0.919 98+421 2020-02-14 f0.1=0.99 FA/10k=0.000 Abschlägen -> Abschlagen; 100 # p=0.991 r=0.783 f0.5=0.941 160+143 2020-02-14 f0.1=0.99 FA/10k=0.000 Abschlagen -> Abschlägen; 10 # p=0.990 r=0.625 f0.5=0.887 143+160 2020-02-14 f0.1=0.98 FA/10k=0.000 Abwässer -> Abwasser; 100000 # p=0.994 r=0.327 f0.5=0.706 992+990 2020-02-14 f0.1=0.97 FA/10k=0.000 #Abwasser -> Abwässer; 100 # p=0.984 r=0.615 f0.5=0.878 990+992 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Altäre -> Altare; 100 # p=1.000 r=0.269 f0.5=0.648 972+119 2020-02-14 f0.1=0.97 FA/10k=0.000 #Altare -> Altäre; 10000 # p=0.965 r=0.426 f0.5=0.770 119+972 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) #Anfällen -> Anfallen; 100 # p=1.000 r=0.308 f0.5=0.690 329+13 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Anfallen -> Anfällen; 100 # p=1.000 r=0.711 f0.5=0.925 13+329 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) Anfänge -> Anfange; 10 # p=1.000 r=0.908 f0.5=0.980 835+163 2020-02-14 f0.1=1.00 FA/10k=0.000 Anfange -> Anfänge; 100 # p=0.991 r=0.771 f0.5=0.937 163+835 2020-02-14 f0.1=0.99 FA/10k=0.001 #Anfängen -> Anfangen; 10 # p=1.000 r=0.483 f0.5=0.824 295+29 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Anfangen -> Anfängen; 100 # p=0.976 r=0.953 f0.5=0.971 29+295 2020-02-14 f0.1=0.98 FA/10k=0.002 (commented due to precision < 0.99) Anhänge -> Anhange; 10 # p=0.996 r=0.912 f0.5=0.978 527+297 2020-02-14 f0.1=1.00 FA/10k=0.000 Anhange -> Anhänge; 10 # p=0.991 r=0.647 f0.5=0.896 297+527 2020-02-14 f0.1=0.99 FA/10k=0.000 #Ankäufen -> Ankaufen; 100 # p=1.000 r=0.667 f0.5=0.909 124+12 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Ankaufen -> Ankäufen; 10 # p=0.968 r=0.734 f0.5=0.910 12+124 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) Anlässen -> Anlassen; 100 # p=1.000 r=0.726 f0.5=0.930 993+252 2020-02-14 f0.1=1.00 FA/10k=0.000 Anlassen -> Anlässen; 10000 # p=0.996 r=0.772 f0.5=0.942 252+993 2020-02-14 f0.1=0.99 FA/10k=0.000 Anläufen -> Anlaufen; 10000 # p=0.994 r=0.654 f0.5=0.900 463+237 2020-02-14 f0.1=0.99 FA/10k=0.000 Anlaufen -> Anläufen; 100 # p=1.000 r=0.827 f0.5=0.960 237+463 2020-02-14 f0.1=1.00 FA/10k=0.000 Anschlägen -> Anschlagen; 10000 # p=1.000 r=0.602 f0.5=0.883 968+246 2020-02-14 f0.1=0.99 FA/10k=0.000 Anschlagen -> Anschlägen; 1000 # p=0.999 r=0.738 f0.5=0.933 246+968 2020-02-14 f0.1=1.00 FA/10k=0.000 #Aufdrücken -> Aufdrucken; 10 # p=1.000 r=0.373 f0.5=0.748 28+59 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) Aufschlägen -> Aufschlagen; 1000 # p=1.000 r=0.638 f0.5=0.898 174+152 2020-02-14 f0.1=0.99 FA/10k=0.000 Aufschlagen -> Aufschlägen; 100 # p=1.000 r=0.557 f0.5=0.863 152+174 2020-02-14 f0.1=0.99 FA/10k=0.000 Aufträge -> Auftrage; 100 # p=1.000 r=0.974 f0.5=0.995 992+887 2020-02-14 f0.1=1.00 FA/10k=0.000 Auftrage -> Aufträge; 10 # p=0.992 r=0.924 f0.5=0.978 887+992 2020-02-14 f0.1=0.99 FA/10k=0.001 Aufträgen -> Auftragen; 1000 # p=0.997 r=0.738 f0.5=0.931 991+397 2020-02-14 f0.1=0.99 FA/10k=0.000 Auftragen -> Aufträgen; 1000 # p=0.994 r=0.696 f0.5=0.916 397+991 2020-02-14 f0.1=0.99 FA/10k=0.000 Aufzüge -> Aufzuge; 100000 # p=1.000 r=0.663 f0.5=0.908 988+80 2020-02-14 f0.1=0.99 FA/10k=0.000 Aufzuge -> Aufzüge; 10 # p=1.000 r=0.726 f0.5=0.930 80+988 2020-02-14 f0.1=1.00 FA/10k=0.000 Augäpfel -> Augapfel; 1000 # p=1.000 r=0.508 f0.5=0.838 79+197 2020-02-14 f0.1=0.99 FA/10k=0.000 Augapfel -> Augäpfel; 100 # p=1.000 r=0.443 f0.5=0.799 197+79 2020-02-14 f0.1=0.99 FA/10k=0.000 Ausdrücke -> Ausdrucke; 10 # p=1.000 r=0.105 f0.5=0.369 978+105 2020-02-14 f0.1=0.92 FA/10k=0.000 #Ausdrucke -> Ausdrücke; 10000000 # p=0.956 r=0.178 f0.5=0.510 105+978 2020-02-14 f0.1=0.92 FA/10k=0.003 (commented due to precision < 0.99) Ausdrücken -> Ausdrucken; 100 # p=1.000 r=0.148 f0.5=0.464 303+122 2020-02-14 f0.1=0.95 FA/10k=0.000 Ausdrucken -> Ausdrücken; 100000 # p=1.000 r=0.333 f0.5=0.714 122+303 2020-02-14 f0.1=0.98 FA/10k=0.000 #Ausfallen -> Ausfällen; 10 # p=1.000 r=0.684 f0.5=0.915 22+893 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Ausgelösten -> Ausgelosten; 10 # p=1.000 r=0.571 f0.5=0.870 1+7 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Ausgänge -> Ausgange; 100 # p=1.000 r=0.984 f0.5=0.997 973+62 2020-02-14 f0.1=1.00 FA/10k=0.000 Ausgange -> Ausgänge; 10 # p=1.000 r=0.766 f0.5=0.942 62+973 2020-02-14 f0.1=1.00 FA/10k=0.000 #Auslosung -> Auslösung; 1000000 # p=0.966 r=0.199 f0.5=0.545 856+992 2020-02-14 f0.1=0.93 FA/10k=0.001 (commented due to precision < 0.99) Auswählen -> Auswahlen; 10 # p=1.000 r=0.288 f0.5=0.669 81+351 2020-02-14 f0.1=0.98 FA/10k=0.000 Auswahlen -> Auswählen; 100000 # p=1.000 r=0.346 f0.5=0.725 351+81 2020-02-14 f0.1=0.98 FA/10k=0.000 #Auszahlen -> Auszählen; 10000 # p=1.000 r=0.221 f0.5=0.587 17+95 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #Auszählung -> Auszahlung; 100000 # p=0.960 r=0.197 f0.5=0.541 485+980 2020-02-14 f0.1=0.92 FA/10k=0.001 (commented due to precision < 0.99) #Auszahlung -> Auszählung; 100 # p=0.973 r=0.223 f0.5=0.581 980+485 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99) Auszüge -> Auszuge; 100 # p=1.000 r=0.540 f0.5=0.854 893+50 2020-02-14 f0.1=0.99 FA/10k=0.000 Auszuge -> Auszüge; 1000 # p=0.997 r=0.782 f0.5=0.945 50+893 2020-02-14 f0.1=0.99 FA/10k=0.000 #Backöfen -> Backofen; 1000 # p=0.988 r=0.344 f0.5=0.718 217+713 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Backofen -> Backöfen; 100 # p=0.971 r=0.152 f0.5=0.467 713+217 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to precision < 0.99) #Beichtväter -> Beichtvater; 100 # p=0.987 r=0.557 f0.5=0.855 66+923 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Beichtvater -> Beichtväter; 1000 # p=1.000 r=0.152 f0.5=0.472 923+66 2020-02-14 f0.1=0.95 FA/10k=0.000 #Beitragen -> Beiträgen; 10 # p=0.995 r=0.937 f0.5=0.983 5+857 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Benützte -> Benutzte; 10 # p=1.000 r=0.333 f0.5=0.714 0+6 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Beschlägen -> Beschlagen; 100 # p=0.980 r=0.738 f0.5=0.920 308+65 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Beschlagen -> Beschlägen; 100 # p=1.000 r=0.526 f0.5=0.847 65+308 2020-02-14 f0.1=0.99 FA/10k=0.000 Bestände -> Bestande; 100 # p=1.000 r=0.135 f0.5=0.438 685+52 2020-02-14 f0.1=0.94 FA/10k=0.000 Bestande -> Bestände; 1000 # p=0.998 r=0.790 f0.5=0.948 52+685 2020-02-14 f0.1=1.00 FA/10k=0.000 #Beträge -> Betrage; 10 # p=1.000 r=0.872 f0.5=0.971 172+39 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Betrage -> Beträge; 1000 # p=1.000 r=0.698 f0.5=0.920 39+172 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Betragen -> Beträgen; 10 # p=1.000 r=0.810 f0.5=0.955 35+242 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Bewähren -> Bewahren; 10000 # p=1.000 r=0.451 f0.5=0.804 3+122 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Bewahrte -> Bewährte; 100 # p=1.000 r=0.200 f0.5=0.556 12+50 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50) #Bewahrten -> Bewährten; 10 # p=1.000 r=0.889 f0.5=0.976 0+9 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) Bewährung -> Bewahrung; 100 # p=0.991 r=0.652 f0.5=0.897 868+965 2020-02-14 f0.1=0.99 FA/10k=0.001 Bewahrung -> Bewährung; 100000 # p=0.998 r=0.502 f0.5=0.833 965+868 2020-02-14 f0.1=0.99 FA/10k=0.000 #Binnenhäfen -> Binnenhafen; 10 # p=0.986 r=0.385 f0.5=0.751 143+535 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Bioladen -> Bioläden; 10 # p=0.964 r=0.466 f0.5=0.794 51+58 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) Blässe -> Blasse; 100 # p=1.000 r=0.325 f0.5=0.706 156+117 2020-02-14 f0.1=0.98 FA/10k=0.000 #Blocke -> Blöcke; 100 # p=0.988 r=0.732 f0.5=0.923 64+889 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) #Blöße -> Bloße; 1000 # p=1.000 r=0.606 f0.5=0.885 166+33 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Bloße -> Blöße; 10 # p=0.987 r=0.898 f0.5=0.968 33+166 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to precision < 0.99) Blüte -> Blute; 100 # p=1.000 r=0.712 f0.5=0.925 700+111 2020-02-14 f0.1=1.00 FA/10k=0.000 Blute -> Blüte; 1000 # p=0.996 r=0.664 f0.5=0.905 111+700 2020-02-14 f0.1=0.99 FA/10k=0.000 #Blüten -> Bluten; 10 # p=1.000 r=0.244 f0.5=0.618 421+45 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #Bluten -> Blüten; 10000000 # p=0.988 r=0.599 f0.5=0.874 45+421 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Brennöfen -> Brennofen; 100 # p=1.000 r=0.256 f0.5=0.633 314+308 2020-02-14 f0.1=0.97 FA/10k=0.000 #Brände -> Brande; 10000 # p=0.952 r=0.238 f0.5=0.595 991+248 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to precision < 0.99) #Brande -> Brände; 100 # p=0.972 r=0.599 f0.5=0.865 248+991 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Bränden -> Branden; 10 # p=0.984 r=0.453 f0.5=0.797 988+139 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Branden -> Bränden; 10 # p=0.987 r=0.814 f0.5=0.946 139+988 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) #Bräuche -> Brauche; 1000 # p=1.000 r=1.000 f0.5=1.000 975+6 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Brauche -> Bräuche; 10 # p=1.000 r=0.806 f0.5=0.954 6+975 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Bräuchen -> Brauchen; 1000 # p=0.989 r=0.957 f0.5=0.983 493+94 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to precision < 0.99) Brauchen -> Bräuchen; 10 # p=0.995 r=0.872 f0.5=0.968 94+493 2020-02-14 f0.1=0.99 FA/10k=0.000 Brüche -> Bruche; 100 # p=1.000 r=0.274 f0.5=0.653 945+201 2020-02-14 f0.1=0.97 FA/10k=0.000 #Bruche -> Brüche; 10000000 # p=0.951 r=0.207 f0.5=0.554 201+945 2020-02-14 f0.1=0.92 FA/10k=0.001 (commented due to precision < 0.99) Brüder -> Bruder; 1000 # p=0.994 r=0.555 f0.5=0.858 627+839 2020-02-14 f0.1=0.99 FA/10k=0.001 Bruder -> Brüder; 1000 # p=1.000 r=0.531 f0.5=0.850 839+627 2020-02-14 f0.1=0.99 FA/10k=0.000 #Bäche -> Bache; 100 # p=0.983 r=0.209 f0.5=0.564 955+273 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) #Bache -> Bäche; 10000 # p=0.980 r=0.310 f0.5=0.684 273+955 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #Balle -> Bälle; 100 # p=0.964 r=0.493 f0.5=0.809 137+976 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) #Bällen -> Ballen; 100000 # p=0.962 r=0.254 f0.5=0.617 593+595 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99) #Ballen -> Bällen; 1000 # p=0.985 r=0.113 f0.5=0.387 595+593 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to precision < 0.99) Bände -> Bande; 100 # p=1.000 r=0.806 f0.5=0.954 829+335 2020-02-14 f0.1=1.00 FA/10k=0.000 Bande -> Bände; 10000 # p=1.000 r=0.895 f0.5=0.977 335+829 2020-02-14 f0.1=1.00 FA/10k=0.000 Bänden -> Banden; 10 # p=1.000 r=0.453 f0.5=0.805 635+616 2020-02-14 f0.1=0.99 FA/10k=0.000 #Banden -> Bänden; 1000 # p=0.973 r=0.923 f0.5=0.963 616+635 2020-02-14 f0.1=0.97 FA/10k=0.002 (commented due to precision < 0.99) #Bär -> Bar; 100 # p=0.960 r=0.212 f0.5=0.563 831+679 2020-02-14 f0.1=0.93 FA/10k=0.001 (commented due to precision < 0.99) #Bar -> Bär; 100 # p=0.976 r=0.433 f0.5=0.780 679+831 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99) #Bären -> Baren; 100 # p=1.000 r=0.125 f0.5=0.417 816+24 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50) #Baren -> Bären; 100 # p=0.990 r=0.696 f0.5=0.913 24+816 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Bärte -> Barte; 1000 # p=0.950 r=0.325 f0.5=0.686 196+117 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) #Barte -> Bärte; 10 # p=0.961 r=0.250 f0.5=0.613 117+196 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) Bässe -> Basse; 100 # p=0.995 r=0.501 f0.5=0.831 501+808 2020-02-14 f0.1=0.99 FA/10k=0.000 #Basse -> Bässe; 10 # p=0.985 r=0.261 f0.5=0.634 808+501 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #Bäuche -> Bauche; 1000 # p=0.968 r=0.261 f0.5=0.628 72+115 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99) Bauche -> Bäuche; 100000 # p=1.000 r=0.139 f0.5=0.446 115+72 2020-02-14 f0.1=0.94 FA/10k=0.000 Bäume -> Baume; 100 # p=0.994 r=0.390 f0.5=0.759 892+813 2020-02-14 f0.1=0.98 FA/10k=0.000 #Baume -> Bäume; 10000 # p=0.987 r=0.589 f0.5=0.869 813+892 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) #Böden -> Boden; 1000000 # p=0.981 r=0.463 f0.5=0.801 944+884 2020-02-14 f0.1=0.97 FA/10k=0.010 (commented due to precision < 0.99) #Boden -> Böden; 10 # p=0.982 r=0.468 f0.5=0.805 884+944 2020-02-14 f0.1=0.97 FA/10k=0.010 (commented due to precision < 0.99) #Borde -> Börde; 100 # p=0.982 r=0.369 f0.5=0.737 171+891 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Bürgen -> Burgen; 10000 # p=0.980 r=0.295 f0.5=0.669 411+325 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) Burgen -> Bürgen; 10 # p=1.000 r=0.557 f0.5=0.863 325+411 2020-02-14 f0.1=0.99 FA/10k=0.000 Büsche -> Busche; 1000 # p=0.990 r=0.279 f0.5=0.656 627+340 2020-02-14 f0.1=0.97 FA/10k=0.000 #Busche -> Büsche; 10000 # p=0.954 r=0.432 f0.5=0.769 340+627 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99) #Büßen -> Bußen; 10000 # p=0.955 r=0.273 f0.5=0.636 9+77 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) #Dröge -> Droge; 100 # p=0.966 r=0.730 f0.5=0.907 160+976 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #Droge -> Dröge; 100 # p=0.952 r=0.125 f0.5=0.410 976+160 2020-02-14 f0.1=0.89 FA/10k=0.000 (commented due to precision < 0.99) #Drögen -> Drogen; 10 # p=0.969 r=0.768 f0.5=0.921 36+937 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99) #Dröhnen -> Drohnen; 10 # p=0.980 r=0.440 f0.5=0.787 59+988 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Drücken -> Drucken; 100000 # p=0.975 r=0.269 f0.5=0.640 459+442 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) #Drucken -> Drücken; 1000 # p=0.989 r=0.192 f0.5=0.540 442+459 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) #Drückende -> Druckende; 10 # p=1.000 r=0.200 f0.5=0.556 4+5 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50) #Druckende -> Drückende; 10000 # p=1.000 r=0.500 f0.5=0.833 5+4 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Durchfällen -> Durchfallen; 10 # p=1.000 r=0.571 f0.5=0.870 103+14 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Durchfallen -> Durchfällen; 10000 # p=1.000 r=0.466 f0.5=0.814 14+103 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Durchläufen -> Durchlaufen; 100000 # p=0.981 r=0.810 f0.5=0.941 84+63 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Durchlaufen -> Durchläufen; 10 # p=1.000 r=0.798 f0.5=0.952 63+84 2020-02-14 f0.1=1.00 FA/10k=0.000 Dämme -> Damme; 100 # p=0.996 r=0.489 f0.5=0.825 986+974 2020-02-14 f0.1=0.99 FA/10k=0.000 #Damme -> Dämme; 1000 # p=0.976 r=0.454 f0.5=0.794 974+986 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Dösen -> Dosen; 1000 # p=0.973 r=0.567 f0.5=0.851 148+962 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99) #Dufte -> Düfte; 100 # p=0.978 r=0.520 f0.5=0.832 21+342 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Duften -> Düften; 10 # p=1.000 r=0.639 f0.5=0.899 3+97 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Einbüßen -> Einbußen; 1000 # p=1.000 r=0.770 f0.5=0.944 4+661 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) Einfällen -> Einfallen; 1000 # p=0.994 r=0.622 f0.5=0.887 532+251 2020-02-14 f0.1=0.99 FA/10k=0.000 Einfallen -> Einfällen; 100 # p=0.993 r=0.509 f0.5=0.834 251+532 2020-02-14 f0.1=0.98 FA/10k=0.000 Einkäufen -> Einkaufen; 1000 # p=0.996 r=0.740 f0.5=0.932 98+369 2020-02-14 f0.1=0.99 FA/10k=0.000 #Einkaufen -> Einkäufen; 10 # p=0.984 r=0.622 f0.5=0.882 369+98 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Einträgen -> Eintragen; 100000 # p=1.000 r=0.585 f0.5=0.876 988+53 2020-02-14 f0.1=0.99 FA/10k=0.000 Eintragen -> Einträgen; 100 # p=1.000 r=0.594 f0.5=0.880 53+988 2020-02-14 f0.1=0.99 FA/10k=0.000 #Empfänge -> Empfange; 100000 # p=1.000 r=0.294 f0.5=0.676 446+17 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Empfange -> Empfänge; 10 # p=1.000 r=0.780 f0.5=0.947 17+446 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Empfängen -> Empfangen; 1000000 # p=1.000 r=0.639 f0.5=0.898 216+36 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Empfangen -> Empfängen; 10 # p=1.000 r=0.634 f0.5=0.897 36+216 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Erträge -> Ertrage; 100 # p=1.000 r=0.100 f0.5=0.357 942+10 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to sample size < 50) #Ertrage -> Erträge; 10 # p=0.996 r=0.945 f0.5=0.985 10+942 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Erträgen -> Ertragen; 10 # p=1.000 r=0.538 f0.5=0.854 747+13 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Ertragen -> Erträgen; 10 # p=1.000 r=0.946 f0.5=0.989 13+747 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Fehlschlägen -> Fehlschlagen; 100 # p=1.000 r=0.881 f0.5=0.974 143+42 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Fehlschlagen -> Fehlschlägen; 10 # p=1.000 r=0.755 f0.5=0.939 42+143 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Flughäfen -> Flughafen; 100000 # p=0.983 r=0.135 f0.5=0.436 800+858 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) #Flughafen -> Flughäfen; 100 # p=0.987 r=0.287 f0.5=0.664 858+800 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) Flache -> Fläche; 10000 # p=0.991 r=0.638 f0.5=0.893 93+893 2020-02-14 f0.1=0.99 FA/10k=0.001 #Flachen -> Flächen; 100 # p=0.995 r=0.784 f0.5=0.944 12+959 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Flüchen -> Fluchen; 1000 # p=1.000 r=0.360 f0.5=0.738 61+100 2020-02-14 f0.1=0.98 FA/10k=0.000 #Flüchten -> Fluchten; 10 # p=0.988 r=0.385 f0.5=0.752 17+205 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) Flüge -> Fluge; 1000 # p=1.000 r=0.800 f0.5=0.952 985+215 2020-02-14 f0.1=1.00 FA/10k=0.000 Fluge -> Flüge; 10 # p=0.995 r=0.625 f0.5=0.890 215+985 2020-02-14 f0.1=0.99 FA/10k=0.000 Flüsse -> Flusse; 100 # p=1.000 r=0.753 f0.5=0.938 521+81 2020-02-14 f0.1=1.00 FA/10k=0.000 Flusse -> Flüsse; 1000000 # p=0.996 r=0.539 f0.5=0.852 81+521 2020-02-14 f0.1=0.99 FA/10k=0.000 #Fragebögen -> Fragebogen; 10000 # p=0.978 r=0.451 f0.5=0.793 482+982 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99) #Früchten -> Fruchten; 100 # p=1.000 r=0.462 f0.5=0.811 955+13 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Fruchten -> Früchten; 10 # p=0.999 r=0.917 f0.5=0.981 13+955 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) Fäden -> Faden; 10000 # p=0.992 r=0.412 f0.5=0.774 987+896 2020-02-14 f0.1=0.98 FA/10k=0.001 Faden -> Fäden; 100 # p=0.992 r=0.495 f0.5=0.826 896+987 2020-02-14 f0.1=0.98 FA/10k=0.001 Fahren -> Fähren; 10 # p=0.997 r=0.303 f0.5=0.683 146+978 2020-02-14 f0.1=0.97 FA/10k=0.000 #Fährten -> Fahrten; 10000000 # p=0.953 r=0.168 f0.5=0.493 299+956 2020-02-14 f0.1=0.91 FA/10k=0.001 (commented due to precision < 0.99) Fahrten -> Fährten; 100 # p=1.000 r=0.171 f0.5=0.507 956+299 2020-02-14 f0.1=0.95 FA/10k=0.000 Fälle -> Falle; 10000 # p=1.000 r=0.482 f0.5=0.823 709+798 2020-02-14 f0.1=0.99 FA/10k=0.000 Falle -> Fälle; 1000000 # p=1.000 r=0.427 f0.5=0.789 798+709 2020-02-14 f0.1=0.99 FA/10k=0.000 Fällen -> Fallen; 10000 # p=1.000 r=0.313 f0.5=0.695 951+335 2020-02-14 f0.1=0.98 FA/10k=0.000 Fallen -> Fällen; 10000 # p=0.997 r=0.744 f0.5=0.934 335+951 2020-02-14 f0.1=0.99 FA/10k=0.002 Fälschen -> Falschen; 10000000 # p=1.000 r=0.236 f0.5=0.607 82+89 2020-02-14 f0.1=0.97 FA/10k=0.000 Falschen -> Fälschen; 100 # p=1.000 r=0.768 f0.5=0.943 89+82 2020-02-14 f0.1=1.00 FA/10k=0.000 #Fange -> Fänge; 10 # p=1.000 r=0.808 f0.5=0.955 31+448 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) Fängen -> Fangen; 10000 # p=1.000 r=0.608 f0.5=0.886 615+148 2020-02-14 f0.1=0.99 FA/10k=0.000 Fangen -> Fängen; 10 # p=1.000 r=0.911 f0.5=0.981 148+615 2020-02-14 f0.1=1.00 FA/10k=0.000 Färben -> Farben; 1000000 # p=0.991 r=0.479 f0.5=0.816 327+906 2020-02-14 f0.1=0.98 FA/10k=0.001 Farben -> Färben; 100 # p=1.000 r=0.618 f0.5=0.890 906+327 2020-02-14 f0.1=0.99 FA/10k=0.000 #Fäule -> Faule; 100 # p=0.989 r=0.345 f0.5=0.720 72+258 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Fördern -> Fordern; 100 # p=1.000 r=0.500 f0.5=0.833 95+40 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Fordern -> Fördern; 1000 # p=1.000 r=0.242 f0.5=0.615 40+95 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #Fördernde -> Fordernde; 1000 # p=1.000 r=0.286 f0.5=0.667 41+7 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Fordernde -> Fördernde; 100 # p=1.000 r=0.707 f0.5=0.924 7+41 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Fördernden -> Fordernden; 10 # p=1.000 r=0.333 f0.5=0.714 8+3 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Fordernden -> Fördernden; 10 # p=1.000 r=0.625 f0.5=0.893 3+8 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Förderung -> Forderung; 10000000 # p=1.000 r=0.222 f0.5=0.588 942+982 2020-02-14 f0.1=0.97 FA/10k=0.000 Forderung -> Förderung; 10000 # p=0.990 r=0.511 f0.5=0.833 982+942 2020-02-14 f0.1=0.98 FA/10k=0.007 #Fügen -> Fugen; 10000 # p=0.987 r=0.497 f0.5=0.825 309+948 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Fugen -> Fügen; 1000 # p=1.000 r=0.188 f0.5=0.536 948+309 2020-02-14 f0.1=0.96 FA/10k=0.000 Füße -> Fuße; 100 # p=1.000 r=0.993 f0.5=0.999 794+983 2020-02-14 f0.1=1.00 FA/10k=0.000 Fuße -> Füße; 10 # p=1.000 r=0.960 f0.5=0.992 983+794 2020-02-14 f0.1=1.00 FA/10k=0.000 #Fußen -> Füßen; 10 # p=0.998 r=0.953 f0.5=0.989 4+958 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) Gebären -> Gebaren; 10000 # p=1.000 r=0.209 f0.5=0.569 60+163 2020-02-14 f0.1=0.96 FA/10k=0.000 Gebaren -> Gebären; 100 # p=1.000 r=0.267 f0.5=0.645 163+60 2020-02-14 f0.1=0.97 FA/10k=0.000 #Gedrückte -> Gedruckte; 100 # p=1.000 r=0.415 f0.5=0.780 3+82 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Gedruckte -> Gedrückte; 10 # p=1.000 r=0.333 f0.5=0.714 82+3 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Gedruckten -> Gedrückten; 10 # p=1.000 r=1.000 f0.5=1.000 0+1 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) Gefällen -> Gefallen; 100000 # p=1.000 r=0.678 f0.5=0.913 95+152 2020-02-14 f0.1=1.00 FA/10k=0.000 Gefallen -> Gefällen; 10 # p=1.000 r=0.368 f0.5=0.745 152+95 2020-02-14 f0.1=0.98 FA/10k=0.000 #Geförderte -> Geforderte; 100 # p=1.000 r=0.133 f0.5=0.435 31+15 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50) #Geforderte -> Geförderte; 10 # p=1.000 r=0.516 f0.5=0.842 15+31 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Geförderten -> Geforderten; 10 # p=1.000 r=0.250 f0.5=0.625 20+4 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #Geforderten -> Geförderten; 100 # p=1.000 r=0.250 f0.5=0.625 4+20 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #Geräten -> Geraten; 100 # p=1.000 r=1.000 f0.5=1.000 967+3 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Geraten -> Geräten; 10 # p=1.000 r=0.727 f0.5=0.930 3+967 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Gestutzte -> Gestützte; 10 # p=1.000 r=0.962 f0.5=0.992 5+26 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Gesägte -> Gesagte; 10 # p=1.000 r=0.907 f0.5=0.980 16+182 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Gesägten -> Gesagten; 10 # p=1.000 r=0.903 f0.5=0.979 5+144 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Gesagten -> Gesägten; 1000 # p=1.000 r=1.000 f0.5=1.000 144+5 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Gewöhnte -> Gewohnte; 10 # p=1.000 r=0.750 f0.5=0.938 0+32 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Gewöhnten -> Gewohnten; 10 # p=1.000 r=0.650 f0.5=0.903 2+20 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Gezahlte -> Gezählte; 10 # p=1.000 r=0.292 f0.5=0.673 3+24 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Gezahlten -> Gezählten; 10 # p=1.000 r=0.444 f0.5=0.800 0+9 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Geachtete -> Geächtete; 10 # p=1.000 r=0.529 f0.5=0.849 1+70 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Geachteten -> Geächteten; 10 # p=0.978 r=0.727 f0.5=0.915 3+187 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Glaser -> Gläser; 1000 # p=0.987 r=0.248 f0.5=0.619 923+943 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) Glätte -> Glatte; 10 # p=1.000 r=0.409 f0.5=0.776 136+110 2020-02-14 f0.1=0.99 FA/10k=0.000 #Glatten -> Glätten; 100000 # p=0.984 r=0.428 f0.5=0.781 57+145 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Großmütter -> Großmutter; 100000 # p=0.984 r=0.509 f0.5=0.829 138+991 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) Großmutter -> Großmütter; 100 # p=1.000 r=0.138 f0.5=0.444 991+138 2020-02-14 f0.1=0.94 FA/10k=0.000 Großväter -> Großvater; 1000000 # p=0.992 r=0.549 f0.5=0.854 244+948 2020-02-14 f0.1=0.98 FA/10k=0.000 Großvater -> Großväter; 10 # p=1.000 r=0.639 f0.5=0.899 948+244 2020-02-14 f0.1=0.99 FA/10k=0.000 #Gräben -> Graben; 1000 # p=0.969 r=0.248 f0.5=0.613 970+895 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99) Graben -> Gräben; 1000 # p=0.990 r=0.200 f0.5=0.553 895+970 2020-02-14 f0.1=0.95 FA/10k=0.000 Gründe -> Grunde; 100 # p=0.999 r=0.976 f0.5=0.994 798+977 2020-02-14 f0.1=1.00 FA/10k=0.001 Grunde -> Gründe; 100000 # p=0.998 r=0.513 f0.5=0.839 977+798 2020-02-14 f0.1=0.99 FA/10k=0.001 Gänge -> Gange; 1000 # p=1.000 r=0.938 f0.5=0.987 777+976 2020-02-14 f0.1=1.00 FA/10k=0.000 Gange -> Gänge; 1000 # p=0.993 r=0.535 f0.5=0.848 976+777 2020-02-14 f0.1=0.98 FA/10k=0.000 Gänze -> Ganze; 1000 # p=1.000 r=0.842 f0.5=0.964 937+177 2020-02-14 f0.1=1.00 FA/10k=0.000 Ganze -> Gänze; 100 # p=1.000 r=0.951 f0.5=0.990 177+937 2020-02-14 f0.1=1.00 FA/10k=0.000 #Gären -> Garen; 10 # p=0.952 r=0.281 f0.5=0.644 13+210 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) #Gärten -> Garten; 10000 # p=0.975 r=0.414 f0.5=0.767 809+928 2020-02-14 f0.1=0.96 FA/10k=0.003 (commented due to precision < 0.99) Garten -> Gärten; 100 # p=0.993 r=0.329 f0.5=0.707 928+809 2020-02-14 f0.1=0.97 FA/10k=0.001 Güte -> Gute; 1000000 # p=0.996 r=0.631 f0.5=0.893 982+423 2020-02-14 f0.1=0.99 FA/10k=0.001 Gute -> Güte; 100 # p=1.000 r=0.715 f0.5=0.926 423+982 2020-02-14 f0.1=1.00 FA/10k=0.000 #Halbbrüder -> Halbbruder; 10000 # p=0.980 r=0.396 f0.5=0.757 401+988 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) Halbbruder -> Halbbrüder; 10 # p=0.995 r=0.499 f0.5=0.830 988+401 2020-02-14 f0.1=0.99 FA/10k=0.000 Herzögen -> Herzogen; 1000 # p=1.000 r=0.119 f0.5=0.404 981+67 2020-02-14 f0.1=0.93 FA/10k=0.000 #Herzogen -> Herzögen; 10 # p=0.967 r=0.695 f0.5=0.897 67+981 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) Hochöfen -> Hochofen; 1000 # p=0.998 r=0.438 f0.5=0.795 730+988 2020-02-14 f0.1=0.99 FA/10k=0.000 #Hochofen -> Hochöfen; 1000 # p=0.980 r=0.273 f0.5=0.645 988+730 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #Häfen -> Hafen; 10000 # p=0.960 r=0.361 f0.5=0.721 959+939 2020-02-14 f0.1=0.94 FA/10k=0.004 (commented due to precision < 0.99) Hafen -> Häfen; 100 # p=0.995 r=0.391 f0.5=0.760 939+959 2020-02-14 f0.1=0.98 FA/10k=0.000 Hähne -> Hahne; 100 # p=0.994 r=0.266 f0.5=0.642 450+595 2020-02-14 f0.1=0.97 FA/10k=0.000 #Hahne -> Hähne; 100 # p=0.951 r=0.516 f0.5=0.813 595+450 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99) #Hälse -> Halse; 10000 # p=0.950 r=0.456 f0.5=0.781 199+252 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99) #Halse -> Hälse; 1000000 # p=0.957 r=0.111 f0.5=0.378 252+199 2020-02-14 f0.1=0.89 FA/10k=0.000 (commented due to precision < 0.99) #Hämmer -> Hammer; 10000000 # p=0.976 r=0.185 f0.5=0.526 539+899 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99) #Hammer -> Hämmer; 100 # p=0.985 r=0.121 f0.5=0.405 899+539 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to precision < 0.99) Händel -> Handel; 1000000 # p=0.991 r=0.481 f0.5=0.817 740+901 2020-02-14 f0.1=0.98 FA/10k=0.003 Handel -> Händel; 100 # p=1.000 r=0.343 f0.5=0.723 901+740 2020-02-14 f0.1=0.98 FA/10k=0.000 Härte -> Harte; 100 # p=0.993 r=0.413 f0.5=0.775 976+334 2020-02-14 f0.1=0.98 FA/10k=0.000 #Harte -> Härte; 10000 # p=0.988 r=0.603 f0.5=0.876 334+976 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) Härten -> Harten; 1000 # p=1.000 r=0.140 f0.5=0.449 421+114 2020-02-14 f0.1=0.94 FA/10k=0.000 #Harten -> Härten; 1000 # p=0.983 r=0.542 f0.5=0.845 114+421 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) #Häufen -> Haufen; 10 # p=1.000 r=0.764 f0.5=0.942 7+901 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Haufen -> Häufen; 1000 # p=1.000 r=0.714 f0.5=0.926 901+7 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) Höfe -> Hofe; 1000 # p=0.997 r=0.932 f0.5=0.983 950+936 2020-02-14 f0.1=1.00 FA/10k=0.000 Hofe -> Höfe; 100 # p=0.995 r=0.696 f0.5=0.917 936+950 2020-02-14 f0.1=0.99 FA/10k=0.000 #Hohle -> Höhle; 10000 # p=0.965 r=0.483 f0.5=0.805 205+968 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99) Höhlen -> Hohlen; 100 # p=1.000 r=0.148 f0.5=0.466 902+128 2020-02-14 f0.1=0.95 FA/10k=0.000 #Hohlen -> Höhlen; 100 # p=0.982 r=0.684 f0.5=0.904 128+902 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Hübe -> Hube; 100 # p=0.996 r=0.483 f0.5=0.821 54+520 2020-02-14 f0.1=0.99 FA/10k=0.000 Hube -> Hübe; 100 # p=1.000 r=0.185 f0.5=0.532 520+54 2020-02-14 f0.1=0.96 FA/10k=0.000 Hüte -> Hute; 100 # p=1.000 r=0.141 f0.5=0.450 927+64 2020-02-14 f0.1=0.94 FA/10k=0.000 #Hute -> Hüte; 10 # p=0.974 r=0.658 f0.5=0.889 64+927 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Kanarienvögel -> Kanarienvogel; 10000 # p=0.970 r=0.187 f0.5=0.528 147+171 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) #Kanarienvogel -> Kanarienvögel; 10 # p=0.950 r=0.259 f0.5=0.619 171+147 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) Kindergärten -> Kindergarten; 10000 # p=1.000 r=0.256 f0.5=0.632 941+899 2020-02-14 f0.1=0.97 FA/10k=0.000 Kindergarten -> Kindergärten; 100 # p=0.992 r=0.375 f0.5=0.746 899+941 2020-02-14 f0.1=0.98 FA/10k=0.000 Kleingärten -> Kleingarten; 100 # p=1.000 r=0.200 f0.5=0.556 522+110 2020-02-14 f0.1=0.96 FA/10k=0.000 #Kleingarten -> Kleingärten; 10 # p=0.956 r=0.460 f0.5=0.786 110+522 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) #Klären -> Klaren; 10 # p=1.000 r=0.682 f0.5=0.915 21+85 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Klaren -> Klären; 10 # p=1.000 r=0.714 f0.5=0.926 85+21 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Klöster -> Kloster; 1000 # p=0.987 r=0.248 f0.5=0.618 776+944 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99) Kloster -> Klöster; 100 # p=0.996 r=0.597 f0.5=0.878 944+776 2020-02-14 f0.1=0.99 FA/10k=0.000 #Kränze -> Kranze; 10000 # p=0.970 r=0.492 f0.5=0.812 342+65 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) Kranze -> Kränze; 10 # p=0.996 r=0.716 f0.5=0.924 65+342 2020-02-14 f0.1=0.99 FA/10k=0.000 #Krönen -> Kronen; 10 # p=1.000 r=0.677 f0.5=0.913 2+870 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Kronen -> Krönen; 1000 # p=1.000 r=0.500 f0.5=0.833 870+2 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Krüge -> Kruge; 1000 # p=1.000 r=0.143 f0.5=0.455 485+63 2020-02-14 f0.1=0.94 FA/10k=0.000 #Kruge -> Krüge; 100 # p=0.983 r=0.581 f0.5=0.863 63+485 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) #Kahne -> Kähne; 10 # p=0.954 r=0.606 f0.5=0.855 100+340 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) Kälte -> Kalte; 100 # p=1.000 r=0.527 f0.5=0.848 957+355 2020-02-14 f0.1=0.99 FA/10k=0.000 Kalte -> Kälte; 10000 # p=0.998 r=0.631 f0.5=0.894 355+957 2020-02-14 f0.1=0.99 FA/10k=0.000 #Kämpe -> Kampe; 1000 # p=0.951 r=0.298 f0.5=0.661 104+262 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) Kämpfe -> Kampfe; 100 # p=1.000 r=0.905 f0.5=0.980 861+317 2020-02-14 f0.1=1.00 FA/10k=0.000 Kampfe -> Kämpfe; 10 # p=0.991 r=0.770 f0.5=0.937 317+861 2020-02-14 f0.1=0.99 FA/10k=0.001 #Kästen -> Kasten; 100000 # p=0.950 r=0.264 f0.5=0.625 598+941 2020-02-14 f0.1=0.93 FA/10k=0.002 (commented due to precision < 0.99) #Käufe -> Kaufe; 100 # p=1.000 r=0.205 f0.5=0.562 360+44 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50) #Kaufe -> Käufe; 10 # p=0.982 r=0.742 f0.5=0.922 44+360 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) #Käufen -> Kaufen; 1000 # p=1.000 r=0.525 f0.5=0.847 89+40 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Kaufen -> Käufen; 1000 # p=1.000 r=0.326 f0.5=0.707 40+89 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Koche -> Köche; 100 # p=0.990 r=0.537 f0.5=0.847 30+736 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) Köchen -> Kochen; 100000 # p=0.994 r=0.568 f0.5=0.864 169+583 2020-02-14 f0.1=0.99 FA/10k=0.000 Kochen -> Köchen; 100 # p=1.000 r=0.154 f0.5=0.476 583+169 2020-02-14 f0.1=0.95 FA/10k=0.000 Köcher -> Kocher; 1000 # p=0.991 r=0.228 f0.5=0.593 385+940 2020-02-14 f0.1=0.96 FA/10k=0.000 Kocher -> Köcher; 1000 # p=1.000 r=0.200 f0.5=0.556 940+385 2020-02-14 f0.1=0.96 FA/10k=0.000 Köpfe -> Kopfe; 10 # p=1.000 r=0.877 f0.5=0.973 587+122 2020-02-14 f0.1=1.00 FA/10k=0.000 #Kopfe -> Köpfe; 10 # p=0.988 r=0.675 f0.5=0.904 122+587 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) #Küchen -> Kuchen; 10000 # p=0.984 r=0.386 f0.5=0.751 970+979 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Kuchen -> Küchen; 10 # p=0.954 r=0.171 f0.5=0.498 979+970 2020-02-14 f0.1=0.91 FA/10k=0.001 (commented due to precision < 0.99) Kühle -> Kuhle; 10 # p=1.000 r=0.249 f0.5=0.623 264+334 2020-02-14 f0.1=0.97 FA/10k=0.000 Kühlen -> Kuhlen; 10000 # p=1.000 r=0.103 f0.5=0.364 232+341 2020-02-14 f0.1=0.92 FA/10k=0.000 #Kündigen -> Kundigen; 10 # p=1.000 r=0.800 f0.5=0.952 4+20 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Kundigen -> Kündigen; 10 # p=1.000 r=1.000 f0.5=1.000 20+4 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Küren -> Kuren; 100000 # p=0.976 r=0.302 f0.5=0.675 31+404 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) Kürze -> Kurze; 100 # p=0.991 r=0.825 f0.5=0.952 969+525 2020-02-14 f0.1=0.99 FA/10k=0.001 Kurze -> Kürze; 100 # p=1.000 r=0.934 f0.5=0.986 525+969 2020-02-14 f0.1=1.00 FA/10k=0.000 #Kürzen -> Kurzen; 100 # p=1.000 r=0.105 f0.5=0.370 163+19 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to sample size < 50) #Kurzen -> Kürzen; 1000 # p=0.990 r=0.613 f0.5=0.882 19+163 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Lautstarke -> Lautstärke; 10 # p=1.000 r=0.790 f0.5=0.950 2+995 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Lautstarken -> Lautstärken; 10 # p=1.000 r=0.387 f0.5=0.759 0+93 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Lähmen -> Lahmen; 10 # p=0.988 r=0.778 f0.5=0.938 5+108 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to precision < 0.99) #Lahmen -> Lähmen; 100 # p=1.000 r=0.200 f0.5=0.556 108+5 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50) Länge -> Lange; 100 # p=0.997 r=0.519 f0.5=0.842 768+626 2020-02-14 f0.1=0.99 FA/10k=0.001 Längen -> Langen; 100 # p=0.995 r=0.347 f0.5=0.725 968+611 2020-02-14 f0.1=0.98 FA/10k=0.000 Langen -> Längen; 100 # p=1.000 r=0.691 f0.5=0.918 611+968 2020-02-14 f0.1=1.00 FA/10k=0.000 #Lästern -> Lastern; 100 # p=1.000 r=0.561 f0.5=0.865 9+107 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Lastern -> Lästern; 100 # p=1.000 r=0.222 f0.5=0.588 107+9 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) Läufe -> Laufe; 100000 # p=0.997 r=0.987 f0.5=0.995 837+932 2020-02-14 f0.1=1.00 FA/10k=0.001 Laufe -> Läufe; 100 # p=0.995 r=0.691 f0.5=0.914 932+837 2020-02-14 f0.1=0.99 FA/10k=0.001 #Läufen -> Laufen; 10000 # p=0.976 r=0.487 f0.5=0.813 816+341 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) Laufen -> Läufen; 100 # p=1.000 r=0.385 f0.5=0.758 341+816 2020-02-14 f0.1=0.98 FA/10k=0.000 #Läusen -> Lausen; 10 # p=0.984 r=0.259 f0.5=0.631 76+243 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) Lauten -> Läuten; 10 # p=1.000 r=0.699 f0.5=0.921 65+375 2020-02-14 f0.1=1.00 FA/10k=0.000 Löcher -> Locher; 10 # p=0.995 r=0.298 f0.5=0.678 980+687 2020-02-14 f0.1=0.97 FA/10k=0.000 #Locher -> Löcher; 10000 # p=0.982 r=0.503 f0.5=0.825 687+980 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Löhnen -> Lohnen; 100 # p=1.000 r=0.500 f0.5=0.833 301+4 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Lohnen -> Löhnen; 1000 # p=0.996 r=0.784 f0.5=0.945 4+301 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Lösen -> Losen; 100 # p=1.000 r=0.555 f0.5=0.862 162+164 2020-02-14 f0.1=0.99 FA/10k=0.000 #Losen -> Lösen; 100000 # p=0.980 r=0.599 f0.5=0.869 164+162 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Lösung -> Losung; 10 # p=0.976 r=0.205 f0.5=0.557 668+405 2020-02-14 f0.1=0.94 FA/10k=0.016 (commented due to precision < 0.99) #Losung -> Lösung; 10000000 # p=0.961 r=0.296 f0.5=0.664 405+668 2020-02-14 f0.1=0.94 FA/10k=0.025 (commented due to precision < 0.99) Lösungen -> Losungen; 100 # p=1.000 r=0.189 f0.5=0.538 935+143 2020-02-14 f0.1=0.96 FA/10k=0.000 #Losungen -> Lösungen; 100000 # p=0.969 r=0.302 f0.5=0.672 143+935 2020-02-14 f0.1=0.95 FA/10k=0.005 (commented due to precision < 0.99) Löten -> Loten; 10 # p=1.000 r=0.658 f0.5=0.906 329+117 2020-02-14 f0.1=0.99 FA/10k=0.000 #Loten -> Löten; 100 # p=0.963 r=0.477 f0.5=0.800 117+329 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) #Missbräuchen -> Missbrauchen; 100 # p=1.000 r=0.333 f0.5=0.714 67+3 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Missbrauchen -> Missbräuchen; 10000000 # p=1.000 r=0.388 f0.5=0.760 3+67 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Mägen -> Magen; 10000000 # p=0.967 r=0.328 f0.5=0.695 146+974 2020-02-14 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99) Mähnen -> Mahnen; 10 # p=1.000 r=0.464 f0.5=0.812 69+56 2020-02-14 f0.1=0.99 FA/10k=0.000 Mahnen -> Mähnen; 1000 # p=1.000 r=0.145 f0.5=0.459 56+69 2020-02-14 f0.1=0.94 FA/10k=0.000 Mängel -> Mangel; 10000000 # p=0.992 r=0.524 f0.5=0.842 965+958 2020-02-14 f0.1=0.98 FA/10k=0.002 Mangel -> Mängel; 1000 # p=0.996 r=0.509 f0.5=0.836 958+965 2020-02-14 f0.1=0.99 FA/10k=0.001 #Mängeln -> Mangeln; 100 # p=1.000 r=0.125 f0.5=0.417 604+16 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50) #Mangeln -> Mängeln; 100000 # p=0.997 r=0.545 f0.5=0.855 16+604 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Mäntel -> Mantel; 10000 # p=0.983 r=0.561 f0.5=0.854 435+942 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) #Mantel -> Mäntel; 10 # p=0.989 r=0.395 f0.5=0.760 942+435 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) Märkte -> Markte; 1000 # p=1.000 r=0.701 f0.5=0.922 875+77 2020-02-14 f0.1=1.00 FA/10k=0.000 Markte -> Märkte; 1000 # p=0.998 r=0.545 f0.5=0.856 77+875 2020-02-14 f0.1=0.99 FA/10k=0.000 #Mütter -> Mutter; 10000000 # p=0.971 r=0.304 f0.5=0.675 850+872 2020-02-14 f0.1=0.95 FA/10k=0.016 (commented due to precision < 0.99) #Mutter -> Mütter; 100 # p=0.986 r=0.169 f0.5=0.502 872+850 2020-02-14 f0.1=0.94 FA/10k=0.008 (commented due to precision < 0.99) Nachlässe -> Nachlasse; 100 # p=0.990 r=0.899 f0.5=0.970 829+109 2020-02-14 f0.1=0.99 FA/10k=0.000 Nachlasse -> Nachlässe; 10 # p=0.998 r=0.700 f0.5=0.920 109+829 2020-02-14 f0.1=0.99 FA/10k=0.000 Nachlässen -> Nachlassen; 1000000 # p=1.000 r=0.707 f0.5=0.923 224+314 2020-02-14 f0.1=1.00 FA/10k=0.000 Nachlassen -> Nachlässen; 100 # p=1.000 r=0.656 f0.5=0.905 314+224 2020-02-14 f0.1=0.99 FA/10k=0.000 Niederschlägen -> Niederschlagen; 100 # p=1.000 r=0.774 f0.5=0.945 927+53 2020-02-14 f0.1=1.00 FA/10k=0.000 Niederschlagen -> Niederschlägen; 10 # p=0.993 r=0.876 f0.5=0.967 53+927 2020-02-14 f0.1=0.99 FA/10k=0.000 #Nägel -> Nagel; 1000 # p=0.986 r=0.299 f0.5=0.676 969+922 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) Nagel -> Nägel; 100 # p=0.995 r=0.390 f0.5=0.759 922+969 2020-02-14 f0.1=0.98 FA/10k=0.000 Nägeln -> Nageln; 100 # p=1.000 r=0.250 f0.5=0.625 613+52 2020-02-14 f0.1=0.97 FA/10k=0.000 Nageln -> Nägeln; 100 # p=0.991 r=0.698 f0.5=0.914 52+613 2020-02-14 f0.1=0.99 FA/10k=0.000 Nähe -> Nahe; 10000 # p=1.000 r=0.144 f0.5=0.457 918+236 2020-02-14 f0.1=0.94 FA/10k=0.000 Nahe -> Nähe; 10000 # p=0.994 r=0.577 f0.5=0.869 236+918 2020-02-14 f0.1=0.99 FA/10k=0.002 Nähen -> Nahen; 10000000 # p=0.997 r=0.945 f0.5=0.986 360+327 2020-02-14 f0.1=1.00 FA/10k=0.000 Nahen -> Nähen; 1000 # p=1.000 r=0.444 f0.5=0.800 327+360 2020-02-14 f0.1=0.99 FA/10k=0.000 Nässe -> Nasse; 1000 # p=1.000 r=0.215 f0.5=0.578 708+302 2020-02-14 f0.1=0.97 FA/10k=0.000 #Nasse -> Nässe; 100 # p=0.985 r=0.460 f0.5=0.802 302+708 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Nöte -> Note; 10000 # p=0.983 r=0.617 f0.5=0.879 591+848 2020-02-14 f0.1=0.98 FA/10k=0.002 (commented due to precision < 0.99) Note -> Nöte; 100 # p=1.000 r=0.689 f0.5=0.917 848+591 2020-02-14 f0.1=1.00 FA/10k=0.000 Nöten -> Noten; 100000 # p=0.994 r=0.391 f0.5=0.760 458+893 2020-02-14 f0.1=0.98 FA/10k=0.000 Noten -> Nöten; 1000 # p=1.000 r=0.415 f0.5=0.780 893+458 2020-02-14 f0.1=0.99 FA/10k=0.000 #Nützen -> Nutzen; 100000 # p=0.967 r=0.684 f0.5=0.893 31+380 2020-02-14 f0.1=0.96 FA/10k=0.007 (commented due to precision < 0.99) #Pläne -> Plane; 10 # p=0.989 r=0.300 f0.5=0.678 878+610 2020-02-14 f0.1=0.97 FA/10k=0.002 (commented due to precision < 0.99) #Plane -> Pläne; 10000000 # p=0.980 r=0.341 f0.5=0.713 610+878 2020-02-14 f0.1=0.96 FA/10k=0.003 (commented due to precision < 0.99) Plänen -> Planen; 10000 # p=1.000 r=0.442 f0.5=0.798 961+258 2020-02-14 f0.1=0.99 FA/10k=0.000 Planen -> Plänen; 1000 # p=0.997 r=0.819 f0.5=0.956 258+961 2020-02-14 f0.1=0.99 FA/10k=0.000 #Plätten -> Platten; 10 # p=0.952 r=0.660 f0.5=0.874 45+902 2020-02-14 f0.1=0.95 FA/10k=0.002 (commented due to precision < 0.99) Plätze -> Platze; 10 # p=1.000 r=0.629 f0.5=0.895 788+267 2020-02-14 f0.1=0.99 FA/10k=0.000 Plätzen -> Platzen; 100 # p=1.000 r=0.742 f0.5=0.935 944+418 2020-02-14 f0.1=1.00 FA/10k=0.000 #Platzen -> Plätzen; 10000 # p=0.986 r=0.541 f0.5=0.847 418+944 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Pässe -> Passe; 100 # p=1.000 r=0.342 f0.5=0.722 963+269 2020-02-14 f0.1=0.98 FA/10k=0.000 Passe -> Pässe; 1000 # p=0.993 r=0.317 f0.5=0.696 269+963 2020-02-14 f0.1=0.97 FA/10k=0.000 #Pässen -> Passen; 10 # p=0.984 r=0.594 f0.5=0.870 618+101 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Passen -> Pässen; 1000 # p=0.996 r=0.393 f0.5=0.762 101+618 2020-02-14 f0.1=0.98 FA/10k=0.000 #Quälen -> Qualen; 1000 # p=1.000 r=0.686 f0.5=0.916 38+800 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Qualen -> Quälen; 100 # p=1.000 r=0.553 f0.5=0.861 800+38 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Raubvögel -> Raubvogel; 10 # p=1.000 r=0.278 f0.5=0.659 94+97 2020-02-14 f0.1=0.97 FA/10k=0.000 #Rächen -> Rachen; 10 # p=1.000 r=0.725 f0.5=0.929 3+752 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Rachen -> Rächen; 100 # p=1.000 r=0.333 f0.5=0.714 752+3 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Ränge -> Range; 1000 # p=0.986 r=0.251 f0.5=0.622 917+855 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) Range -> Ränge; 100 # p=0.994 r=0.502 f0.5=0.831 855+917 2020-02-14 f0.1=0.98 FA/10k=0.000 Räte -> Rate; 100000 # p=0.997 r=0.406 f0.5=0.772 943+793 2020-02-14 f0.1=0.98 FA/10k=0.000 #Rate -> Räte; 100 # p=0.986 r=0.596 f0.5=0.872 793+943 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) Räten -> Raten; 10000 # p=0.997 r=0.502 f0.5=0.833 660+619 2020-02-14 f0.1=0.99 FA/10k=0.000 Raten -> Räten; 1000 # p=0.991 r=0.524 f0.5=0.841 619+660 2020-02-14 f0.1=0.98 FA/10k=0.000 Räuchern -> Rauchern; 100 # p=1.000 r=0.557 f0.5=0.863 205+183 2020-02-14 f0.1=0.99 FA/10k=0.000 #Rauchern -> Räuchern; 100 # p=0.962 r=0.737 f0.5=0.906 183+205 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) Räume -> Raume; 10 # p=0.995 r=0.793 f0.5=0.947 908+246 2020-02-14 f0.1=0.99 FA/10k=0.001 Raume -> Räume; 100 # p=0.990 r=0.645 f0.5=0.894 246+908 2020-02-14 f0.1=0.98 FA/10k=0.001 Rocke -> Röcke; 10 # p=1.000 r=0.738 f0.5=0.934 93+477 2020-02-14 f0.1=1.00 FA/10k=0.000 #Rohr -> Röhr; 100 # p=0.966 r=0.254 f0.5=0.619 877+669 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99) #Röhre -> Rohre; 100 # p=0.981 r=0.320 f0.5=0.695 979+983 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #Rohre -> Röhre; 10000 # p=0.968 r=0.282 f0.5=0.651 983+979 2020-02-14 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99) Rösten -> Rosten; 1000 # p=1.000 r=0.178 f0.5=0.519 199+90 2020-02-14 f0.1=0.96 FA/10k=0.000 Röte -> Rote; 100000 # p=0.995 r=0.526 f0.5=0.845 65+382 2020-02-14 f0.1=0.99 FA/10k=0.000 Rote -> Röte; 100 # p=1.000 r=0.123 f0.5=0.412 382+65 2020-02-14 f0.1=0.93 FA/10k=0.000 #Röten -> Roten; 1000000 # p=0.984 r=0.808 f0.5=0.943 32+458 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) #Roten -> Röten; 1000 # p=1.000 r=0.125 f0.5=0.417 458+32 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50) Rühe -> Ruhe; 1000000 # p=0.995 r=0.652 f0.5=0.900 114+857 2020-02-14 f0.1=0.99 FA/10k=0.001 Ruhe -> Rühe; 100 # p=1.000 r=0.737 f0.5=0.933 857+114 2020-02-14 f0.1=1.00 FA/10k=0.000 Sachschäden -> Sachschaden; 100000 # p=0.995 r=0.459 f0.5=0.806 554+800 2020-02-14 f0.1=0.98 FA/10k=0.000 #Sachschaden -> Sachschäden; 100 # p=0.956 r=0.233 f0.5=0.590 800+554 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) Schläfe -> Schlafe; 100 # p=1.000 r=0.708 f0.5=0.924 245+120 2020-02-14 f0.1=1.00 FA/10k=0.000 Schlafe -> Schläfe; 1000 # p=1.000 r=0.796 f0.5=0.951 120+245 2020-02-14 f0.1=1.00 FA/10k=0.000 Schläfen -> Schlafen; 100000 # p=1.000 r=0.610 f0.5=0.887 196+100 2020-02-14 f0.1=0.99 FA/10k=0.000 Schlafen -> Schläfen; 10 # p=1.000 r=0.648 f0.5=0.902 100+196 2020-02-14 f0.1=0.99 FA/10k=0.000 Schläge -> Schlage; 1000000 # p=1.000 r=0.255 f0.5=0.631 968+267 2020-02-14 f0.1=0.97 FA/10k=0.000 Schlage -> Schläge; 10000 # p=0.998 r=0.439 f0.5=0.795 267+968 2020-02-14 f0.1=0.99 FA/10k=0.000 Schlägen -> Schlagen; 100000 # p=1.000 r=0.533 f0.5=0.851 984+152 2020-02-14 f0.1=0.99 FA/10k=0.000 Schlagen -> Schlägen; 10 # p=0.994 r=0.806 f0.5=0.949 152+984 2020-02-14 f0.1=0.99 FA/10k=0.000 #Schlägers -> Schlagers; 10000 # p=0.985 r=0.346 f0.5=0.719 153+370 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Schlösser -> Schlosser; 10000 # p=0.988 r=0.338 f0.5=0.714 422+955 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Schlosser -> Schlösser; 1000 # p=0.959 r=0.389 f0.5=0.741 955+422 2020-02-14 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99) Schlüsse -> Schlusse; 10 # p=1.000 r=0.865 f0.5=0.970 787+89 2020-02-14 f0.1=1.00 FA/10k=0.000 Schlusse -> Schlüsse; 100 # p=1.000 r=0.892 f0.5=0.976 89+787 2020-02-14 f0.1=1.00 FA/10k=0.000 #Schmelzöfen -> Schmelzofen; 100 # p=0.968 r=0.361 f0.5=0.724 233+169 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) Schmelzofen -> Schmelzöfen; 10000 # p=1.000 r=0.103 f0.5=0.365 169+233 2020-02-14 f0.1=0.92 FA/10k=0.000 #Schmucken -> Schmücken; 10 # p=0.963 r=0.839 f0.5=0.935 2+31 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #Schnäbel -> Schnabel; 1000000 # p=0.988 r=0.525 f0.5=0.840 281+783 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Schnabel -> Schnäbel; 100 # p=1.000 r=0.203 f0.5=0.560 783+281 2020-02-14 f0.1=0.96 FA/10k=0.000 #Schrebergärten -> Schrebergarten; 100 # p=0.976 r=0.423 f0.5=0.774 165+97 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #Schränke -> Schranke; 100000 # p=0.987 r=0.315 f0.5=0.692 361+989 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) Schranke -> Schränke; 100 # p=0.991 r=0.319 f0.5=0.697 989+361 2020-02-14 f0.1=0.97 FA/10k=0.000 Schränken -> Schranken; 10000 # p=0.990 r=0.589 f0.5=0.871 191+980 2020-02-14 f0.1=0.98 FA/10k=0.001 Schwäche -> Schwache; 100 # p=1.000 r=0.271 f0.5=0.651 972+129 2020-02-14 f0.1=0.97 FA/10k=0.000 Schwache -> Schwäche; 10000 # p=0.997 r=0.693 f0.5=0.917 129+972 2020-02-14 f0.1=0.99 FA/10k=0.000 #Schwächen -> Schwachen; 1000 # p=0.980 r=0.356 f0.5=0.725 804+135 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99) Schwachen -> Schwächen; 10000 # p=1.000 r=0.572 f0.5=0.870 135+804 2020-02-14 f0.1=0.99 FA/10k=0.000 #Schwänen -> Schwanen; 10 # p=0.986 r=0.420 f0.5=0.777 167+169 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Schwanen -> Schwänen; 100 # p=0.975 r=0.467 f0.5=0.801 169+167 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #Schwärze -> Schwarze; 1000 # p=0.978 r=0.521 f0.5=0.832 135+336 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99) #Schwarze -> Schwärze; 10 # p=0.974 r=0.274 f0.5=0.645 336+135 2020-02-14 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99) #Schwärzen -> Schwarzen; 10000000 # p=1.000 r=0.473 f0.5=0.818 25+334 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Schwüle -> Schwule; 1000 # p=0.992 r=0.477 f0.5=0.816 61+524 2020-02-14 f0.1=0.98 FA/10k=0.000 #Schwülen -> Schwulen; 10 # p=1.000 r=0.606 f0.5=0.885 0+518 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Schachten -> Schächten; 1000 # p=0.956 r=0.269 f0.5=0.633 202+974 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) Schäden -> Schaden; 10000000 # p=1.000 r=0.305 f0.5=0.687 963+832 2020-02-14 f0.1=0.98 FA/10k=0.000 Schaden -> Schäden; 1000 # p=1.000 r=0.497 f0.5=0.832 832+963 2020-02-14 f0.1=0.99 FA/10k=0.000 Schälen -> Schalen; 100000 # p=0.995 r=0.405 f0.5=0.770 105+974 2020-02-14 f0.1=0.98 FA/10k=0.000 Schalen -> Schälen; 100 # p=1.000 r=0.533 f0.5=0.851 974+105 2020-02-14 f0.1=0.99 FA/10k=0.000 Schärfe -> Scharfe; 100 # p=1.000 r=0.399 f0.5=0.769 974+228 2020-02-14 f0.1=0.99 FA/10k=0.000 #Scharfe -> Schärfe; 100 # p=0.969 r=0.759 f0.5=0.918 228+974 2020-02-14 f0.1=0.97 FA/10k=0.002 (commented due to precision < 0.99) #Schärfen -> Scharfen; 10 # p=1.000 r=0.556 f0.5=0.862 133+18 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Scharfen -> Schärfen; 100 # p=1.000 r=0.541 f0.5=0.855 18+133 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Schönen -> Schonen; 10 # p=0.998 r=0.719 f0.5=0.926 253+658 2020-02-14 f0.1=0.99 FA/10k=0.000 Schonen -> Schönen; 10000000 # p=0.993 r=0.577 f0.5=0.868 658+253 2020-02-14 f0.1=0.99 FA/10k=0.000 Schütz -> Schutz; 10000 # p=0.992 r=0.624 f0.5=0.887 852+609 2020-02-14 f0.1=0.99 FA/10k=0.003 Schutz -> Schütz; 1000 # p=0.997 r=0.434 f0.5=0.792 609+852 2020-02-14 f0.1=0.98 FA/10k=0.001 Schütze -> Schutze; 1000 # p=0.997 r=0.923 f0.5=0.981 838+926 2020-02-14 f0.1=1.00 FA/10k=0.000 Schutze -> Schütze; 10 # p=0.997 r=0.726 f0.5=0.927 926+838 2020-02-14 f0.1=0.99 FA/10k=0.000 Singvögel -> Singvogel; 100 # p=0.995 r=0.383 f0.5=0.754 442+493 2020-02-14 f0.1=0.98 FA/10k=0.000 #Späten -> Spaten; 10 # p=0.998 r=0.664 f0.5=0.906 15+648 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Spaten -> Späten; 10 # p=1.000 r=0.467 f0.5=0.814 648+15 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Spüle -> Spule; 100 # p=0.965 r=0.634 f0.5=0.874 76+992 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #Spülen -> Spulen; 10000 # p=0.989 r=0.359 f0.5=0.732 190+982 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Spulen -> Spülen; 1000 # p=0.951 r=0.205 f0.5=0.551 982+190 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to precision < 0.99) #Spüren -> Spuren; 10000 # p=1.000 r=0.616 f0.5=0.889 30+781 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Spuren -> Spüren; 10 # p=1.000 r=0.267 f0.5=0.645 781+30 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #Strande -> Strände; 10 # p=0.980 r=0.411 f0.5=0.767 181+969 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Stränden -> Stranden; 100 # p=1.000 r=0.333 f0.5=0.714 990+42 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Stranden -> Stränden; 10 # p=0.994 r=0.639 f0.5=0.895 42+990 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Ströme -> Strome; 10 # p=0.978 r=0.564 f0.5=0.853 975+78 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99) Strome -> Ströme; 1000 # p=0.993 r=0.564 f0.5=0.862 78+975 2020-02-14 f0.1=0.99 FA/10k=0.000 Stäbe -> Stabe; 100 # p=1.000 r=0.616 f0.5=0.889 992+177 2020-02-14 f0.1=0.99 FA/10k=0.000 Stabe -> Stäbe; 1000 # p=0.998 r=0.498 f0.5=0.831 177+992 2020-02-14 f0.1=0.99 FA/10k=0.000 Stämme -> Stamme; 100 # p=1.000 r=0.742 f0.5=0.935 946+236 2020-02-14 f0.1=1.00 FA/10k=0.000 #Stamme -> Stämme; 100 # p=0.982 r=0.691 f0.5=0.906 236+946 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) #Stämmen -> Stammen; 100 # p=1.000 r=0.714 f0.5=0.926 955+7 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Stammen -> Stämmen; 10 # p=1.000 r=0.804 f0.5=0.954 7+955 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) Stände -> Stande; 1000 # p=1.000 r=0.947 f0.5=0.989 269+855 2020-02-14 f0.1=1.00 FA/10k=0.000 #Stande -> Stände; 10000 # p=0.983 r=0.643 f0.5=0.889 855+269 2020-02-14 f0.1=0.98 FA/10k=0.002 (commented due to precision < 0.99) #Stärke -> Starke; 1000 # p=0.982 r=0.262 f0.5=0.634 922+423 2020-02-14 f0.1=0.96 FA/10k=0.004 (commented due to precision < 0.99) Starke -> Stärke; 10000 # p=0.994 r=0.586 f0.5=0.873 423+922 2020-02-14 f0.1=0.99 FA/10k=0.001 Stärken -> Starken; 10 # p=1.000 r=0.765 f0.5=0.942 502+85 2020-02-14 f0.1=1.00 FA/10k=0.000 Starken -> Stärken; 1000 # p=1.000 r=0.719 f0.5=0.928 85+502 2020-02-14 f0.1=1.00 FA/10k=0.000 #Stätten -> Statten; 100 # p=1.000 r=0.250 f0.5=0.625 355+8 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #Statten -> Stätten; 10 # p=0.993 r=0.758 f0.5=0.935 8+355 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Stöcken -> Stocken; 1000 # p=0.998 r=0.860 f0.5=0.967 949+765 2020-02-14 f0.1=1.00 FA/10k=0.000 #Stocken -> Stöcken; 1000 # p=0.979 r=0.336 f0.5=0.708 765+949 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #Stöße -> Stoße; 1000 # p=1.000 r=0.125 f0.5=0.417 603+8 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50) #Stoße -> Stöße; 10 # p=0.996 r=0.776 f0.5=0.942 8+603 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Stoßen -> Stößen; 10 # p=1.000 r=0.638 f0.5=0.898 601+337 2020-02-14 f0.1=0.99 FA/10k=0.000 Stück -> Stuck; 10 # p=0.997 r=0.387 f0.5=0.758 898+931 2020-02-14 f0.1=0.98 FA/10k=0.001 Stücks -> Stucks; 100 # p=1.000 r=0.239 f0.5=0.611 983+67 2020-02-14 f0.1=0.97 FA/10k=0.000 #Stucks -> Stücks; 100 # p=0.968 r=0.764 f0.5=0.919 67+983 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Sächliche -> Sachliche; 100000 # p=1.000 r=0.313 f0.5=0.695 9+67 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Sachliche -> Sächliche; 10 # p=1.000 r=0.778 f0.5=0.946 67+9 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) Sage -> Säge; 10 # p=0.991 r=0.121 f0.5=0.406 785+962 2020-02-14 f0.1=0.93 FA/10k=0.000 Sagen -> Sägen; 10 # p=1.000 r=0.260 f0.5=0.637 412+539 2020-02-14 f0.1=0.97 FA/10k=0.000 Sarge -> Särge; 1000 # p=0.997 r=0.355 f0.5=0.733 170+934 2020-02-14 f0.1=0.98 FA/10k=0.000 Sättel -> Sattel; 10000 # p=0.990 r=0.451 f0.5=0.799 185+920 2020-02-14 f0.1=0.98 FA/10k=0.000 #Säure -> Saure; 100 # p=0.982 r=0.233 f0.5=0.597 945+232 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) #Saure -> Säure; 100 # p=0.979 r=0.540 f0.5=0.842 232+945 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) Säuren -> Sauren; 100 # p=1.000 r=0.310 f0.5=0.692 979+71 2020-02-14 f0.1=0.98 FA/10k=0.000 Sauren -> Säuren; 10 # p=0.991 r=0.825 f0.5=0.953 71+979 2020-02-14 f0.1=0.99 FA/10k=0.000 Söhne -> Sohne; 10 # p=1.000 r=0.709 f0.5=0.924 602+299 2020-02-14 f0.1=1.00 FA/10k=0.000 #Sohne -> Söhne; 1000000 # p=0.959 r=0.588 f0.5=0.852 299+602 2020-02-14 f0.1=0.95 FA/10k=0.003 (commented due to precision < 0.99) #Tenore -> Tenöre; 1000 # p=0.962 r=0.330 f0.5=0.696 101+309 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99) #Träge -> Trage; 10000 # p=1.000 r=0.465 f0.5=0.813 13+198 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Trage -> Träge; 10 # p=1.000 r=0.154 f0.5=0.476 198+13 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to sample size < 50) #Trägen -> Tragen; 1000 # p=1.000 r=0.723 f0.5=0.929 5+47 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Tragen -> Trägen; 100 # p=1.000 r=0.200 f0.5=0.556 47+5 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50) Träume -> Traume; 10 # p=1.000 r=0.897 f0.5=0.977 774+58 2020-02-14 f0.1=1.00 FA/10k=0.000 Traume -> Träume; 1000 # p=0.998 r=0.544 f0.5=0.855 58+774 2020-02-14 f0.1=0.99 FA/10k=0.000 Träumen -> Traumen; 100 # p=1.000 r=0.194 f0.5=0.547 543+72 2020-02-14 f0.1=0.96 FA/10k=0.000 Traumen -> Träumen; 1000 # p=1.000 r=0.497 f0.5=0.832 72+543 2020-02-14 f0.1=0.99 FA/10k=0.000 Täler -> Taler; 10000 # p=0.998 r=0.478 f0.5=0.820 912+972 2020-02-14 f0.1=0.99 FA/10k=0.000 #Taler -> Täler; 1000 # p=0.985 r=0.508 f0.5=0.829 972+912 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) Tälern -> Talern; 10000 # p=0.999 r=0.713 f0.5=0.925 977+990 2020-02-14 f0.1=1.00 FA/10k=0.000 Talern -> Tälern; 100 # p=0.990 r=0.718 f0.5=0.920 990+977 2020-02-14 f0.1=0.99 FA/10k=0.000 #Tänze -> Tanze; 10 # p=0.988 r=0.579 f0.5=0.866 900+145 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) #Tanze -> Tänze; 100 # p=0.984 r=0.464 f0.5=0.804 145+900 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Tänzen -> Tanzen; 100000 # p=0.977 r=0.425 f0.5=0.775 988+294 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) Tanzen -> Tänzen; 10 # p=0.996 r=0.571 f0.5=0.867 294+988 2020-02-14 f0.1=0.99 FA/10k=0.000 Täuschen -> Tauschen; 1000 # p=1.000 r=0.108 f0.5=0.376 52+93 2020-02-14 f0.1=0.92 FA/10k=0.000 #Töchter -> Tochter; 100000 # p=0.975 r=0.158 f0.5=0.480 488+740 2020-02-14 f0.1=0.93 FA/10k=0.005 (commented due to precision < 0.99) Tochter -> Töchter; 100 # p=0.993 r=0.557 f0.5=0.859 740+488 2020-02-14 f0.1=0.99 FA/10k=0.001 Töne -> Tone; 100 # p=0.990 r=0.108 f0.5=0.376 964+898 2020-02-14 f0.1=0.92 FA/10k=0.001 #Tone -> Töne; 100000 # p=0.960 r=0.271 f0.5=0.636 898+964 2020-02-14 f0.1=0.94 FA/10k=0.003 (commented due to precision < 0.99) #Topfen -> Töpfen; 100 # p=0.969 r=0.568 f0.5=0.849 65+273 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) Töten -> Toten; 1000 # p=1.000 r=0.857 f0.5=0.968 125+593 2020-02-14 f0.1=1.00 FA/10k=0.000 #Toten -> Töten; 100 # p=0.985 r=0.520 f0.5=0.835 593+125 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) Tüten -> Tuten; 100 # p=1.000 r=0.300 f0.5=0.682 199+50 2020-02-14 f0.1=0.98 FA/10k=0.000 #Tuten -> Tüten; 10 # p=0.958 r=0.693 f0.5=0.890 50+199 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) #Umläufen -> Umlaufen; 10 # p=1.000 r=0.222 f0.5=0.588 238+18 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #Umlaufen -> Umläufen; 10 # p=0.983 r=0.723 f0.5=0.917 18+238 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Umschlägen -> Umschlagen; 1000 # p=1.000 r=0.626 f0.5=0.893 95+91 2020-02-14 f0.1=0.99 FA/10k=0.000 Umschlagen -> Umschlägen; 1000 # p=1.000 r=0.326 f0.5=0.708 91+95 2020-02-14 f0.1=0.98 FA/10k=0.000 #Unschärfe -> Unscharfe; 100 # p=1.000 r=0.440 f0.5=0.797 468+25 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Unscharfe -> Unschärfe; 10 # p=1.000 r=0.135 f0.5=0.438 25+468 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50) Ursprünge -> Ursprunge; 10 # p=1.000 r=0.811 f0.5=0.955 929+111 2020-02-14 f0.1=1.00 FA/10k=0.000 Ursprunge -> Ursprünge; 100 # p=0.996 r=0.873 f0.5=0.969 111+929 2020-02-14 f0.1=0.99 FA/10k=0.000 #Urväter -> Urvater; 10 # p=0.958 r=0.471 f0.5=0.794 81+291 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) Urvater -> Urväter; 100 # p=1.000 r=0.123 f0.5=0.413 291+81 2020-02-14 f0.1=0.93 FA/10k=0.000 #Verbände -> Verbande; 10 # p=0.974 r=0.623 f0.5=0.876 885+61 2020-02-14 f0.1=0.97 FA/10k=0.003 (commented due to precision < 0.99) Verbande -> Verbände; 100 # p=0.997 r=0.767 f0.5=0.941 61+885 2020-02-14 f0.1=0.99 FA/10k=0.000 #Verbünden -> Verbunden; 10000 # p=1.000 r=0.793 f0.5=0.950 87+29 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Verbunden -> Verbünden; 100 # p=1.000 r=0.345 f0.5=0.725 29+87 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Verkaufe -> Verkäufe; 10 # p=0.997 r=0.710 f0.5=0.923 21+966 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Verkäufen -> Verkaufen; 10000 # p=1.000 r=0.460 f0.5=0.810 592+63 2020-02-14 f0.1=0.99 FA/10k=0.000 Verkaufen -> Verkäufen; 10 # p=0.997 r=0.493 f0.5=0.828 63+592 2020-02-14 f0.1=0.99 FA/10k=0.000 Verläufe -> Verlaufe; 10000 # p=0.993 r=0.991 f0.5=0.993 381+913 2020-02-14 f0.1=0.99 FA/10k=0.000 Verlaufe -> Verläufe; 10 # p=1.000 r=0.740 f0.5=0.934 913+381 2020-02-14 f0.1=1.00 FA/10k=0.000 #Verlaufen -> Verläufen; 10 # p=1.000 r=0.756 f0.5=0.939 1+197 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Verstoße -> Verstöße; 10 # p=0.996 r=0.890 f0.5=0.973 3+926 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Verstößen -> Verstoßen; 100 # p=1.000 r=0.323 f0.5=0.704 793+31 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Verstoßen -> Verstößen; 10 # p=0.996 r=0.947 f0.5=0.986 31+793 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Verträge -> Vertrage; 100 # p=1.000 r=0.520 f0.5=0.844 934+25 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Vertrage -> Verträge; 100 # p=0.996 r=0.823 f0.5=0.956 25+934 2020-02-14 f0.1=0.99 FA/10k=0.001 (commented due to sample size < 50) #Verträgen -> Vertragen; 1000 # p=1.000 r=0.200 f0.5=0.556 965+15 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50) #Vertragen -> Verträgen; 10 # p=0.994 r=0.839 f0.5=0.959 15+965 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Verträgliche -> Vertragliche; 1000 # p=1.000 r=0.533 f0.5=0.851 3+60 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Vorgärten -> Vorgarten; 100 # p=0.990 r=0.622 f0.5=0.885 236+455 2020-02-14 f0.1=0.98 FA/10k=0.000 #Vorschlägen -> Vorschlagen; 100 # p=1.000 r=0.269 f0.5=0.648 977+26 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #Vorschlagen -> Vorschlägen; 100 # p=0.995 r=0.831 f0.5=0.957 26+977 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Vorstößen -> Vorstoßen; 10 # p=1.000 r=0.514 f0.5=0.841 252+37 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Vorstoßen -> Vorstößen; 100 # p=1.000 r=0.492 f0.5=0.829 37+252 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Vorträge -> Vortrage; 10 # p=1.000 r=0.552 f0.5=0.860 790+67 2020-02-14 f0.1=0.99 FA/10k=0.000 Vortrage -> Vorträge; 1000 # p=0.997 r=0.751 f0.5=0.935 67+790 2020-02-14 f0.1=0.99 FA/10k=0.000 Vorträgen -> Vortragen; 100 # p=1.000 r=0.580 f0.5=0.874 997+81 2020-02-14 f0.1=0.99 FA/10k=0.000 Vortragen -> Vorträgen; 1000 # p=0.996 r=0.759 f0.5=0.938 81+997 2020-02-14 f0.1=0.99 FA/10k=0.000 Väter -> Vater; 100000 # p=0.992 r=0.537 f0.5=0.848 836+871 2020-02-14 f0.1=0.98 FA/10k=0.004 Vater -> Väter; 10 # p=0.998 r=0.481 f0.5=0.821 871+836 2020-02-14 f0.1=0.99 FA/10k=0.001 #Vögel -> Vogel; 10000 # p=0.989 r=0.315 f0.5=0.693 612+882 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99) Vogel -> Vögel; 100 # p=1.000 r=0.350 f0.5=0.729 882+612 2020-02-14 f0.1=0.98 FA/10k=0.000 #Völker -> Volker; 1000 # p=0.986 r=0.437 f0.5=0.788 720+467 2020-02-14 f0.1=0.97 FA/10k=0.005 (commented due to precision < 0.99) Volker -> Völker; 1000 # p=0.998 r=0.668 f0.5=0.908 467+720 2020-02-14 f0.1=0.99 FA/10k=0.001 #Willensstarke -> Willensstärke; 10 # p=0.983 r=0.592 f0.5=0.868 2+98 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Wägen -> Wagen; 10000000 # p=0.991 r=0.258 f0.5=0.632 86+833 2020-02-14 f0.1=0.96 FA/10k=0.001 Wählen -> Wahlen; 10000 # p=0.997 r=0.738 f0.5=0.931 56+783 2020-02-14 f0.1=0.99 FA/10k=0.001 Wahlen -> Wählen; 1000 # p=1.000 r=0.536 f0.5=0.852 783+56 2020-02-14 f0.1=0.99 FA/10k=0.000 #Währen -> Wahren; 10000000 # p=0.963 r=0.239 f0.5=0.599 24+109 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) Währung -> Wahrung; 100000 # p=0.997 r=0.770 f0.5=0.942 953+973 2020-02-14 f0.1=0.99 FA/10k=0.000 Wahrung -> Währung; 100 # p=0.996 r=0.556 f0.5=0.860 973+953 2020-02-14 f0.1=0.99 FA/10k=0.001 #Wälzen -> Walzen; 10 # p=0.981 r=0.678 f0.5=0.901 28+854 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) Wärme -> Warme; 100 # p=1.000 r=0.116 f0.5=0.397 925+146 2020-02-14 f0.1=0.93 FA/10k=0.000 #Warme -> Wärme; 100000 # p=0.979 r=0.445 f0.5=0.790 146+925 2020-02-14 f0.1=0.97 FA/10k=0.002 (commented due to precision < 0.99) Wärmen -> Warmen; 100 # p=1.000 r=0.317 f0.5=0.699 51+60 2020-02-14 f0.1=0.98 FA/10k=0.000 #Wässern -> Wassern; 10000 # p=0.985 r=0.467 f0.5=0.806 202+433 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Wölfe -> Wolfe; 100 # p=0.989 r=0.371 f0.5=0.742 786+965 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Wolfe -> Wölfe; 1000 # p=0.983 r=0.522 f0.5=0.835 965+786 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) Wünsche -> Wunsche; 100 # p=1.000 r=0.832 f0.5=0.961 726+107 2020-02-14 f0.1=1.00 FA/10k=0.000 Wunsche -> Wünsche; 100 # p=0.998 r=0.727 f0.5=0.929 107+726 2020-02-14 f0.1=0.99 FA/10k=0.000 Würsten -> Wursten; 100 # p=0.995 r=0.694 f0.5=0.916 88+304 2020-02-14 f0.1=0.99 FA/10k=0.000 #Zufällen -> Zufallen; 100 # p=1.000 r=0.286 f0.5=0.667 125+7 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Zufallen -> Zufällen; 10000 # p=1.000 r=0.392 f0.5=0.763 7+125 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Zulaufen -> Zuläufen; 10 # p=1.000 r=0.132 f0.5=0.431 5+76 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50) Zusammenhänge -> Zusammenhange; 10000 # p=1.000 r=0.634 f0.5=0.897 937+93 2020-02-14 f0.1=0.99 FA/10k=0.000 Zusammenhange -> Zusammenhänge; 100 # p=1.000 r=0.866 f0.5=0.970 93+937 2020-02-14 f0.1=1.00 FA/10k=0.000 #Zusammenstößen -> Zusammenstoßen; 10000 # p=1.000 r=0.533 f0.5=0.851 704+15 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Zusammenstoßen -> Zusammenstößen; 10 # p=1.000 r=0.938 f0.5=0.987 15+704 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #Zuschlägen -> Zuschlagen; 1000 # p=1.000 r=0.474 f0.5=0.818 74+38 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Zuschlagen -> Zuschlägen; 1000 # p=0.974 r=0.514 f0.5=0.826 38+74 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Zustände -> Zustande; 1000 # p=1.000 r=0.478 f0.5=0.821 977+23 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Zustande -> Zustände; 10 # p=0.999 r=0.830 f0.5=0.960 23+977 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) Zwischenboden -> Zwischenböden; 10 # p=1.000 r=0.278 f0.5=0.658 54+54 2020-02-14 f0.1=0.97 FA/10k=0.000 #Zählen -> Zahlen; 10 # p=0.995 r=0.818 f0.5=0.954 17+758 2020-02-14 f0.1=0.99 FA/10k=0.001 (commented due to sample size < 50) #Zählende -> Zahlende; 10 # p=1.000 r=0.577 f0.5=0.872 1+26 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #Zählenden -> Zahlenden; 10 # p=1.000 r=0.543 f0.5=0.856 0+35 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Zähler -> Zahler; 10 # p=1.000 r=0.161 f0.5=0.490 880+118 2020-02-14 f0.1=0.95 FA/10k=0.000 #Zahler -> Zähler; 10000 # p=0.956 r=0.245 f0.5=0.605 118+880 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) #Zählung -> Zahlung; 100000 # p=0.974 r=0.459 f0.5=0.795 971+969 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99) Zahlung -> Zählung; 100 # p=0.992 r=0.258 f0.5=0.633 969+971 2020-02-14 f0.1=0.96 FA/10k=0.001 #Zählungen -> Zahlungen; 10000000 # p=0.954 r=0.149 f0.5=0.459 399+972 2020-02-14 f0.1=0.91 FA/10k=0.002 (commented due to precision < 0.99) #Zahlungen -> Zählungen; 10 # p=0.974 r=0.190 f0.5=0.534 972+399 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99) #Zähmen -> Zahmen; 10 # p=1.000 r=0.335 f0.5=0.716 14+167 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #Zollen -> Zöllen; 1000000 # p=1.000 r=0.527 f0.5=0.848 11+338 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) Züge -> Zuge; 1000 # p=1.000 r=0.978 f0.5=0.995 900+944 2020-02-14 f0.1=1.00 FA/10k=0.000 Zuge -> Züge; 10 # p=1.000 r=0.776 f0.5=0.945 944+900 2020-02-14 f0.1=1.00 FA/10k=0.000 #abdrücken -> abdrucken; 100 # p=1.000 r=0.446 f0.5=0.801 45+83 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #abdrucken -> abdrücken; 100 # p=1.000 r=0.200 f0.5=0.556 83+45 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50) #abfahrt -> abfährt; 10 # p=1.000 r=0.376 f0.5=0.751 0+117 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #abfuhren -> abführen; 1000 # p=0.995 r=0.398 f0.5=0.766 42+477 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #abgedrückt -> abgedruckt; 10000 # p=0.988 r=0.394 f0.5=0.759 62+868 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99) #abgesägt -> abgesagt; 1000 # p=0.973 r=0.354 f0.5=0.721 131+933 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) abgesagt -> abgesägt; 10 # p=1.000 r=0.107 f0.5=0.374 933+131 2020-02-14 f0.1=0.92 FA/10k=0.000 #anfahrt -> anfährt; 10 # p=1.000 r=0.216 f0.5=0.579 0+139 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #ausdrucke -> ausdrücke; 10 # p=1.000 r=0.500 f0.5=0.833 0+6 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #ausdrucken -> ausdrücken; 100000 # p=0.958 r=0.329 f0.5=0.693 111+690 2020-02-14 f0.1=0.94 FA/10k=0.003 (commented due to precision < 0.99) #ausfällen -> ausfallen; 1000000 # p=0.990 r=0.463 f0.5=0.807 35+870 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #ausfuhren -> ausführen; 10 # p=0.986 r=0.705 f0.5=0.913 18+811 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) ausgedruckt -> ausgedrückt; 1000000 # p=0.990 r=0.314 f0.5=0.692 281+966 2020-02-14 f0.1=0.97 FA/10k=0.001 #ausgelosten -> ausgelösten; 100 # p=1.000 r=0.327 f0.5=0.708 47+988 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) ausgezahlt -> ausgezählt; 10 # p=1.000 r=0.150 f0.5=0.470 628+226 2020-02-14 f0.1=0.95 FA/10k=0.000 #auszählen -> auszahlen; 100 # p=0.969 r=0.529 f0.5=0.831 24+473 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) bedrückt -> bedruckt; 10 # p=1.000 r=0.332 f0.5=0.713 208+630 2020-02-14 f0.1=0.98 FA/10k=0.000 bedrückte -> bedruckte; 10 # p=0.991 r=0.402 f0.5=0.767 52+286 2020-02-14 f0.1=0.98 FA/10k=0.000 #begrabt -> begräbt; 10 # p=1.000 r=0.580 f0.5=0.874 4+212 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #bekämen -> bekamen; 100000 # p=0.954 r=0.264 f0.5=0.627 145+949 2020-02-14 f0.1=0.93 FA/10k=0.002 (commented due to precision < 0.99) #benützten -> benutzten; 1000 # p=0.965 r=0.200 f0.5=0.547 79+976 2020-02-14 f0.1=0.93 FA/10k=0.002 (commented due to precision < 0.99) #beschwören -> beschworen; 10000 # p=0.989 r=0.226 f0.5=0.591 358+402 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) beschworen -> beschwören; 10000 # p=1.000 r=0.397 f0.5=0.767 402+358 2020-02-14 f0.1=0.99 FA/10k=0.000 betrügen -> betrugen; 100000 # p=0.992 r=0.728 f0.5=0.925 471+981 2020-02-14 f0.1=0.99 FA/10k=0.000 betrugen -> betrügen; 10 # p=1.000 r=0.803 f0.5=0.953 981+471 2020-02-14 f0.1=1.00 FA/10k=0.000 #bewähren -> bewahren; 10000 # p=0.989 r=0.332 f0.5=0.709 562+837 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99) #bewahren -> bewähren; 10 # p=0.978 r=0.313 f0.5=0.686 837+562 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99) #bewährt -> bewahrt; 100 # p=0.979 r=0.502 f0.5=0.823 937+938 2020-02-14 f0.1=0.97 FA/10k=0.003 (commented due to precision < 0.99) bewahrt -> bewährt; 10000 # p=0.992 r=0.256 f0.5=0.630 938+937 2020-02-14 f0.1=0.96 FA/10k=0.001 bewährte -> bewahrte; 100 # p=0.991 r=0.450 f0.5=0.799 940+974 2020-02-14 f0.1=0.98 FA/10k=0.000 #bewahrte -> bewährte; 1000 # p=0.989 r=0.384 f0.5=0.752 974+940 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #bewährten -> bewahrten; 1000 # p=0.983 r=0.270 f0.5=0.643 969+419 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99) #bewahrten -> bewährten; 100 # p=0.960 r=0.577 f0.5=0.848 419+969 2020-02-14 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99) #bezögen -> bezogen; 1000000 # p=0.967 r=0.375 f0.5=0.735 60+939 2020-02-14 f0.1=0.95 FA/10k=0.007 (commented due to precision < 0.99) #bläst -> blast; 10 # p=1.000 r=0.278 f0.5=0.658 574+18 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #blast -> bläst; 100 # p=1.000 r=0.643 f0.5=0.900 18+574 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #brächte -> brachte; 10000000 # p=0.958 r=0.334 f0.5=0.698 170+894 2020-02-14 f0.1=0.94 FA/10k=0.013 (commented due to precision < 0.99) #brächten -> brachten; 1000000 # p=0.955 r=0.252 f0.5=0.613 130+938 2020-02-14 f0.1=0.93 FA/10k=0.004 (commented due to precision < 0.99) #bänden -> banden; 10 # p=1.000 r=0.235 f0.5=0.606 0+187 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #bögen -> bogen; 10 # p=1.000 r=0.300 f0.5=0.682 3+10 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #böten -> boten; 1000000 # p=0.955 r=0.170 f0.5=0.496 119+624 2020-02-14 f0.1=0.91 FA/10k=0.002 (commented due to precision < 0.99) #drängen -> drangen; 100 # p=0.973 r=0.489 f0.5=0.812 345+969 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99) #drangen -> drängen; 100000 # p=0.981 r=0.446 f0.5=0.791 969+345 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99) #drucke -> drücke; 10 # p=1.000 r=0.637 f0.5=0.898 16+135 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #drücken -> drucken; 10 # p=0.973 r=0.408 f0.5=0.762 487+449 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99) drucken -> drücken; 100000 # p=0.990 r=0.207 f0.5=0.564 449+487 2020-02-14 f0.1=0.95 FA/10k=0.001 #drückende -> druckende; 100 # p=0.952 r=0.290 f0.5=0.654 136+69 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) #druckende -> drückende; 10000 # p=0.967 r=0.434 f0.5=0.776 69+136 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #drückenden -> druckenden; 100 # p=0.983 r=0.522 f0.5=0.836 165+113 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #druckenden -> drückenden; 10000 # p=0.988 r=0.509 f0.5=0.832 113+165 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) #druckt -> drückt; 10000000 # p=0.952 r=0.207 f0.5=0.554 259+956 2020-02-14 f0.1=0.92 FA/10k=0.004 (commented due to precision < 0.99) drückte -> druckte; 10 # p=1.000 r=0.129 f0.5=0.426 981+992 2020-02-14 f0.1=0.94 FA/10k=0.000 #durchfahrt -> durchfährt; 10 # p=1.000 r=0.555 f0.5=0.862 0+328 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) durchführen -> durchfuhren; 100 # p=1.000 r=0.217 f0.5=0.581 901+138 2020-02-14 f0.1=0.97 FA/10k=0.000 #durchfuhren -> durchführen; 100 # p=0.970 r=0.463 f0.5=0.795 138+901 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99) #dämpfte -> dampfte; 10 # p=0.961 r=0.333 f0.5=0.698 79+147 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99) #döse -> dose; 10 # p=1.000 r=0.353 f0.5=0.732 4+51 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #dosen -> dösen; 10 # p=1.000 r=0.500 f0.5=0.833 3+18 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) dümmer -> dummer; 10 # p=1.000 r=0.724 f0.5=0.929 65+134 2020-02-14 f0.1=1.00 FA/10k=0.000 dummer -> dümmer; 100 # p=1.000 r=0.585 f0.5=0.876 134+65 2020-02-14 f0.1=0.99 FA/10k=0.000 #durfte -> dürfte; 1000000 # p=0.957 r=0.120 f0.5=0.399 979+926 2020-02-14 f0.1=0.90 FA/10k=0.022 (commented due to precision < 0.99) #dürften -> durften; 100 # p=0.962 r=0.157 f0.5=0.474 992+970 2020-02-14 f0.1=0.92 FA/10k=0.007 (commented due to precision < 0.99) #einfahrt -> einfährt; 10 # p=1.000 r=0.389 f0.5=0.761 0+113 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #einfuhren -> einführen; 1000 # p=0.984 r=0.407 f0.5=0.766 96+765 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) erkältet -> erkaltet; 1000 # p=1.000 r=0.110 f0.5=0.382 175+100 2020-02-14 f0.1=0.93 FA/10k=0.000 erkaltet -> erkältet; 100 # p=1.000 r=0.463 f0.5=0.812 100+175 2020-02-14 f0.1=0.99 FA/10k=0.000 #erlöschen -> erloschen; 10000 # p=0.982 r=0.353 f0.5=0.724 200+950 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #ertränken -> ertranken; 10 # p=0.969 r=0.453 f0.5=0.790 307+763 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) ertranken -> ertränken; 10000 # p=0.995 r=0.609 f0.5=0.883 763+307 2020-02-14 f0.1=0.99 FA/10k=0.000 #flöhen -> flohen; 10 # p=1.000 r=0.764 f0.5=0.942 4+941 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #fluchten -> flüchten; 10 # p=0.980 r=0.650 f0.5=0.890 38+974 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) #fährt -> fahrt; 100 # p=1.000 r=0.143 f0.5=0.455 928+14 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50) #fahrt -> fährt; 10 # p=0.992 r=0.691 f0.5=0.913 14+928 2020-02-14 f0.1=0.99 FA/10k=0.001 (commented due to sample size < 50) #fälle -> falle; 1000 # p=1.000 r=0.528 f0.5=0.848 3+36 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #fällen -> fallen; 10000 # p=0.997 r=0.659 f0.5=0.904 33+563 2020-02-14 f0.1=0.99 FA/10k=0.001 (commented due to sample size < 50) #fallen -> fällen; 100 # p=1.000 r=0.152 f0.5=0.472 563+33 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to sample size < 50) fälschen -> falschen; 100 # p=0.995 r=0.917 f0.5=0.978 171+860 2020-02-14 f0.1=0.99 FA/10k=0.000 falschen -> fälschen; 100 # p=1.000 r=0.480 f0.5=0.822 860+171 2020-02-14 f0.1=0.99 FA/10k=0.000 #fördere -> fordere; 1000000 # p=0.958 r=0.160 f0.5=0.480 263+287 2020-02-14 f0.1=0.91 FA/10k=0.001 (commented due to precision < 0.99) #fördern -> fordern; 1000 # p=0.960 r=0.299 f0.5=0.666 917+966 2020-02-14 f0.1=0.94 FA/10k=0.012 (commented due to precision < 0.99) #fordern -> fördern; 1000 # p=0.965 r=0.182 f0.5=0.519 966+917 2020-02-14 f0.1=0.93 FA/10k=0.010 (commented due to precision < 0.99) fordernd -> fördernd; 1000000 # p=1.000 r=0.151 f0.5=0.471 107+152 2020-02-14 f0.1=0.95 FA/10k=0.000 fördernde -> fordernde; 100 # p=1.000 r=0.113 f0.5=0.389 328+62 2020-02-14 f0.1=0.93 FA/10k=0.000 fordernde -> fördernde; 1000 # p=1.000 r=0.372 f0.5=0.748 62+328 2020-02-14 f0.1=0.98 FA/10k=0.000 #fordernden -> fördernden; 1000 # p=0.986 r=0.271 f0.5=0.645 98+255 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #fördert -> fordert; 100000 # p=0.956 r=0.177 f0.5=0.509 942+986 2020-02-14 f0.1=0.92 FA/10k=0.010 (commented due to precision < 0.99) #fordert -> fördert; 10 # p=0.970 r=0.242 f0.5=0.606 986+942 2020-02-14 f0.1=0.94 FA/10k=0.007 (commented due to precision < 0.99) #forderten -> förderten; 10 # p=0.987 r=0.152 f0.5=0.471 969+991 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99) #füge -> fuge; 100 # p=1.000 r=0.143 f0.5=0.455 125+14 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50) #fuge -> füge; 10 # p=1.000 r=0.768 f0.5=0.943 14+125 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #fugen -> fügen; 10 # p=1.000 r=0.814 f0.5=0.956 3+672 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #führen -> fuhren; 100 # p=0.988 r=0.170 f0.5=0.503 789+953 2020-02-14 f0.1=0.94 FA/10k=0.010 (commented due to precision < 0.99) #gebaren -> gebären; 10000 # p=0.996 r=0.413 f0.5=0.777 31+586 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #gedrückt -> gedruckt; 10000 # p=0.972 r=0.422 f0.5=0.771 980+663 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99) gedruckt -> gedrückt; 10 # p=0.998 r=0.465 f0.5=0.812 663+980 2020-02-14 f0.1=0.99 FA/10k=0.000 #gedrückte -> gedruckte; 1000 # p=0.985 r=0.618 f0.5=0.880 149+851 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) gedruckte -> gedrückte; 100 # p=1.000 r=0.295 f0.5=0.677 851+149 2020-02-14 f0.1=0.98 FA/10k=0.000 #gedrückten -> gedruckten; 1000 # p=0.984 r=0.610 f0.5=0.876 192+983 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) #gedruckten -> gedrückten; 10 # p=0.964 r=0.276 f0.5=0.643 983+192 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99) gedrückter -> gedruckter; 10000 # p=0.997 r=0.536 f0.5=0.851 108+686 2020-02-14 f0.1=0.99 FA/10k=0.000 gedruckter -> gedrückter; 10000 # p=1.000 r=0.222 f0.5=0.588 686+108 2020-02-14 f0.1=0.97 FA/10k=0.000 gefördert -> gefordert; 1000 # p=0.994 r=0.169 f0.5=0.503 859+910 2020-02-14 f0.1=0.95 FA/10k=0.002 gefordert -> gefördert; 1000 # p=0.991 r=0.364 f0.5=0.737 910+859 2020-02-14 f0.1=0.97 FA/10k=0.003 #geforderte -> geförderte; 100 # p=0.987 r=0.401 f0.5=0.764 965+963 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99) #geförderten -> geforderten; 10000 # p=0.970 r=0.294 f0.5=0.664 966+983 2020-02-14 f0.1=0.95 FA/10k=0.002 (commented due to precision < 0.99) geforderten -> geförderten; 1000 # p=1.000 r=0.391 f0.5=0.763 983+966 2020-02-14 f0.1=0.98 FA/10k=0.000 geforderter -> geförderter; 10 # p=1.000 r=0.444 f0.5=0.800 73+187 2020-02-14 f0.1=0.99 FA/10k=0.000 gelautet -> geläutet; 100 # p=1.000 r=0.483 f0.5=0.823 178+773 2020-02-14 f0.1=0.99 FA/10k=0.000 #gestutzte -> gestützte; 10 # p=0.961 r=0.168 f0.5=0.494 69+726 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to precision < 0.99) #gestützten -> gestutzten; 100 # p=0.962 r=0.231 f0.5=0.590 629+108 2020-02-14 f0.1=0.93 FA/10k=0.000 (commented due to precision < 0.99) #gestutzten -> gestützten; 10 # p=0.953 r=0.161 f0.5=0.480 108+629 2020-02-14 f0.1=0.91 FA/10k=0.000 (commented due to precision < 0.99) gesagt -> gesägt; 10 # p=1.000 r=0.125 f0.5=0.417 900+758 2020-02-14 f0.1=0.94 FA/10k=0.000 #gesagten -> gesägten; 10 # p=1.000 r=0.533 f0.5=0.851 15+272 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) gesünder -> gesunder; 100 # p=1.000 r=0.731 f0.5=0.931 147+554 2020-02-14 f0.1=1.00 FA/10k=0.000 gesunder -> gesünder; 100 # p=1.000 r=0.551 f0.5=0.860 554+147 2020-02-14 f0.1=0.99 FA/10k=0.000 #getauscht -> getäuscht; 10000 # p=0.960 r=0.273 f0.5=0.639 969+623 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99) gewährt -> gewahrt; 100 # p=0.997 r=0.414 f0.5=0.778 971+928 2020-02-14 f0.1=0.98 FA/10k=0.001 gewahrt -> gewährt; 100000 # p=1.000 r=0.226 f0.5=0.593 928+971 2020-02-14 f0.1=0.97 FA/10k=0.000 gewöhnt -> gewohnt; 10000 # p=0.995 r=0.216 f0.5=0.578 982+974 2020-02-14 f0.1=0.96 FA/10k=0.000 gewohnt -> gewöhnt; 1000 # p=0.994 r=0.354 f0.5=0.730 974+982 2020-02-14 f0.1=0.98 FA/10k=0.001 gewöhnte -> gewohnte; 10 # p=0.995 r=0.865 f0.5=0.966 121+465 2020-02-14 f0.1=0.99 FA/10k=0.000 gewohnte -> gewöhnte; 1000 # p=1.000 r=0.719 f0.5=0.928 465+121 2020-02-14 f0.1=1.00 FA/10k=0.000 gewöhnten -> gewohnten; 100 # p=1.000 r=0.795 f0.5=0.951 97+972 2020-02-14 f0.1=1.00 FA/10k=0.000 #gewohnten -> gewöhnten; 100 # p=0.981 r=0.526 f0.5=0.836 972+97 2020-02-14 f0.1=0.97 FA/10k=0.001 (commented due to precision < 0.99) gezählt -> gezahlt; 10 # p=0.991 r=0.480 f0.5=0.817 929+971 2020-02-14 f0.1=0.98 FA/10k=0.001 gezahlt -> gezählt; 10000 # p=0.998 r=0.488 f0.5=0.825 971+929 2020-02-14 f0.1=0.99 FA/10k=0.000 #gezählte -> gezahlte; 1000 # p=0.980 r=0.454 f0.5=0.796 160+218 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #gezählten -> gezahlten; 1000 # p=0.975 r=0.497 f0.5=0.818 413+398 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) gezahlten -> gezählten; 10 # p=1.000 r=0.165 f0.5=0.496 398+413 2020-02-14 f0.1=0.95 FA/10k=0.000 #geächtet -> geachtet; 100000 # p=0.972 r=0.390 f0.5=0.749 613+981 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99) #geachtet -> geächtet; 10 # p=0.989 r=0.153 f0.5=0.473 981+613 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99) geachtete -> geächtete; 10 # p=1.000 r=0.103 f0.5=0.366 153+58 2020-02-14 f0.1=0.92 FA/10k=0.000 #geächteten -> geachteten; 10000 # p=0.971 r=0.335 f0.5=0.704 126+203 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) #geächteter -> geachteter; 10 # p=0.962 r=0.670 f0.5=0.885 15+191 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #glätte -> glatte; 10 # p=1.000 r=0.811 f0.5=0.955 8+857 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #glatte -> glätte; 1000 # p=1.000 r=0.250 f0.5=0.625 857+8 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) glätten -> glatten; 100 # p=0.997 r=0.791 f0.5=0.948 223+933 2020-02-14 f0.1=0.99 FA/10k=0.000 glatten -> glätten; 10 # p=0.995 r=0.834 f0.5=0.958 933+223 2020-02-14 f0.1=0.99 FA/10k=0.000 gröber -> grober; 10000 # p=0.994 r=0.448 f0.5=0.799 325+685 2020-02-14 f0.1=0.98 FA/10k=0.000 #größer -> großer; 1000000 # p=0.989 r=0.573 f0.5=0.864 932+164 2020-02-14 f0.1=0.98 FA/10k=0.008 (commented due to precision < 0.99) großer -> größer; 100000 # p=1.000 r=0.837 f0.5=0.962 164+932 2020-02-14 f0.1=1.00 FA/10k=0.000 garen -> gären; 10000 # p=1.000 r=0.103 f0.5=0.365 74+68 2020-02-14 f0.1=0.92 FA/10k=0.000 #herzögen -> herzogen; 10 # p=1.000 r=0.857 f0.5=0.968 0+14 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #härte -> harte; 10 # p=0.998 r=0.874 f0.5=0.970 1+499 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) härten -> harten; 1000 # p=0.994 r=0.772 f0.5=0.940 94+812 2020-02-14 f0.1=0.99 FA/10k=0.000 härter -> harter; 100 # p=0.996 r=0.750 f0.5=0.935 701+748 2020-02-14 f0.1=0.99 FA/10k=0.000 harter -> härter; 1000 # p=1.000 r=0.702 f0.5=0.922 748+701 2020-02-14 f0.1=1.00 FA/10k=0.000 #hätte -> hatte; 10000000 # p=0.974 r=0.151 f0.5=0.466 935+736 2020-02-14 f0.1=0.92 FA/10k=0.129 (commented due to precision < 0.99) hatte -> hätte; 10 # p=0.996 r=0.260 f0.5=0.636 736+935 2020-02-14 f0.1=0.97 FA/10k=0.020 #hattest -> hättest; 1000 # p=0.976 r=0.244 f0.5=0.610 217+673 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) hattet -> hättet; 10000 # p=1.000 r=0.103 f0.5=0.365 51+126 2020-02-14 f0.1=0.92 FA/10k=0.000 #häute -> haute; 10 # p=1.000 r=0.586 f0.5=0.876 3+29 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) höher -> hoher; 100 # p=1.000 r=0.776 f0.5=0.945 888+567 2020-02-14 f0.1=1.00 FA/10k=0.000 hoher -> höher; 100 # p=1.000 r=0.899 f0.5=0.978 567+888 2020-02-14 f0.1=1.00 FA/10k=0.000 #höhle -> hohle; 10 # p=0.998 r=0.674 f0.5=0.910 2+645 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #höhlen -> hohlen; 10 # p=1.000 r=0.816 f0.5=0.957 4+868 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #horte -> hörte; 1000 # p=1.000 r=0.786 f0.5=0.948 7+991 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) hörten -> horten; 100 # p=1.000 r=0.413 f0.5=0.778 986+63 2020-02-14 f0.1=0.99 FA/10k=0.000 #horten -> hörten; 1000 # p=0.985 r=0.598 f0.5=0.872 63+986 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) jünger -> junger; 1000 # p=0.998 r=0.800 f0.5=0.951 333+639 2020-02-14 f0.1=1.00 FA/10k=0.000 junger -> jünger; 1000 # p=1.000 r=0.910 f0.5=0.981 639+333 2020-02-14 f0.1=1.00 FA/10k=0.000 #kläre -> klare; 1000 # p=1.000 r=0.822 f0.5=0.958 9+752 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #klare -> kläre; 1000 # p=1.000 r=0.222 f0.5=0.588 752+9 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) klären -> klaren; 1000 # p=1.000 r=0.859 f0.5=0.968 964+900 2020-02-14 f0.1=1.00 FA/10k=0.000 klaren -> klären; 100000 # p=1.000 r=0.728 f0.5=0.931 900+964 2020-02-14 f0.1=1.00 FA/10k=0.000 klüger -> kluger; 10 # p=1.000 r=0.818 f0.5=0.957 260+308 2020-02-14 f0.1=1.00 FA/10k=0.000 kluger -> klüger; 10000 # p=0.995 r=0.762 f0.5=0.937 308+260 2020-02-14 f0.1=0.99 FA/10k=0.000 kälter -> kalter; 10 # p=1.000 r=0.809 f0.5=0.955 509+409 2020-02-14 f0.1=1.00 FA/10k=0.000 kalter -> kälter; 10000 # p=1.000 r=0.680 f0.5=0.914 409+509 2020-02-14 f0.1=1.00 FA/10k=0.000 #konnte -> könnte; 10 # p=0.964 r=0.286 f0.5=0.653 928+935 2020-02-14 f0.1=0.94 FA/10k=0.107 (commented due to precision < 0.99) #könnten -> konnten; 10000 # p=0.966 r=0.169 f0.5=0.497 734+840 2020-02-14 f0.1=0.92 FA/10k=0.042 (commented due to precision < 0.99) #könntest -> konntest; 10 # p=0.956 r=0.575 f0.5=0.844 289+113 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) #konntest -> könntest; 1000 # p=0.988 r=0.273 f0.5=0.649 113+289 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) kündigen -> kundigen; 10 # p=1.000 r=0.720 f0.5=0.928 880+75 2020-02-14 f0.1=1.00 FA/10k=0.000 kundigen -> kündigen; 10 # p=0.996 r=0.922 f0.5=0.980 75+880 2020-02-14 f0.1=1.00 FA/10k=0.000 #kürze -> kurze; 10000000 # p=0.988 r=0.550 f0.5=0.852 18+302 2020-02-14 f0.1=0.98 FA/10k=0.002 (commented due to precision < 0.99) #kürzen -> kurzen; 10000 # p=0.987 r=0.850 f0.5=0.956 493+957 2020-02-14 f0.1=0.99 FA/10k=0.002 (commented due to precision < 0.99) kurzen -> kürzen; 100 # p=1.000 r=0.789 f0.5=0.949 957+493 2020-02-14 f0.1=1.00 FA/10k=0.000 kürzer -> kurzer; 10 # p=0.998 r=0.828 f0.5=0.959 888+548 2020-02-14 f0.1=1.00 FA/10k=0.000 kurzer -> kürzer; 100 # p=1.000 r=0.977 f0.5=0.995 548+888 2020-02-14 f0.1=1.00 FA/10k=0.000 leistungsstärker -> leistungsstarker; 10 # p=1.000 r=0.468 f0.5=0.815 113+124 2020-02-14 f0.1=0.99 FA/10k=0.000 leistungsstarker -> leistungsstärker; 10 # p=1.000 r=0.549 f0.5=0.859 124+113 2020-02-14 f0.1=0.99 FA/10k=0.000 lähmen -> lahmen; 10 # p=1.000 r=0.625 f0.5=0.893 134+72 2020-02-14 f0.1=0.99 FA/10k=0.000 lahmen -> lähmen; 100000 # p=1.000 r=0.119 f0.5=0.404 72+134 2020-02-14 f0.1=0.93 FA/10k=0.000 länger -> langer; 100000 # p=1.000 r=0.651 f0.5=0.903 844+315 2020-02-14 f0.1=0.99 FA/10k=0.000 langer -> länger; 100 # p=1.000 r=0.918 f0.5=0.983 315+844 2020-02-14 f0.1=1.00 FA/10k=0.000 lässt -> lasst; 1000 # p=1.000 r=0.202 f0.5=0.559 936+173 2020-02-14 f0.1=0.96 FA/10k=0.000 lasst -> lässt; 10000000 # p=0.992 r=0.376 f0.5=0.747 173+936 2020-02-14 f0.1=0.98 FA/10k=0.003 lauten -> läuten; 100 # p=0.996 r=0.413 f0.5=0.776 729+584 2020-02-14 f0.1=0.98 FA/10k=0.000 lautet -> läutet; 100 # p=1.000 r=0.156 f0.5=0.480 577+507 2020-02-14 f0.1=0.95 FA/10k=0.000 lautete -> läutete; 100 # p=1.000 r=0.248 f0.5=0.623 953+584 2020-02-14 f0.1=0.97 FA/10k=0.000 #läuteten -> lauteten; 1000 # p=0.967 r=0.330 f0.5=0.698 265+800 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) #lauteten -> läuteten; 100 # p=0.989 r=0.355 f0.5=0.729 800+265 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) läßt -> laßt; 100 # p=1.000 r=0.443 f0.5=0.799 922+106 2020-02-14 f0.1=0.99 FA/10k=0.000 laßt -> läßt; 100000 # p=0.992 r=0.566 f0.5=0.863 106+922 2020-02-14 f0.1=0.98 FA/10k=0.010 #löhne -> lohne; 10 # p=1.000 r=0.813 f0.5=0.956 0+123 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #löhnen -> lohnen; 1000 # p=1.000 r=0.748 f0.5=0.937 1+357 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) löse -> lose; 10000 # p=1.000 r=0.428 f0.5=0.789 144+409 2020-02-14 f0.1=0.99 FA/10k=0.000 lose -> löse; 100 # p=1.000 r=0.438 f0.5=0.795 409+144 2020-02-14 f0.1=0.99 FA/10k=0.000 lösen -> losen; 100 # p=0.997 r=0.775 f0.5=0.943 779+824 2020-02-14 f0.1=0.99 FA/10k=0.001 #losen -> lösen; 100000 # p=0.971 r=0.650 f0.5=0.884 824+779 2020-02-14 f0.1=0.97 FA/10k=0.007 (commented due to precision < 0.99) #löst -> lost; 10 # p=1.000 r=0.625 f0.5=0.893 935+24 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #lost -> löst; 10 # p=0.999 r=0.887 f0.5=0.974 24+935 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #loste -> löste; 10 # p=0.986 r=0.853 f0.5=0.956 15+911 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) #löten -> loten; 10 # p=1.000 r=0.346 f0.5=0.726 24+26 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #loten -> löten; 10 # p=1.000 r=0.125 f0.5=0.417 26+24 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50) #lügt -> lugt; 100 # p=1.000 r=0.189 f0.5=0.538 616+37 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50) #lugt -> lügt; 100 # p=0.995 r=0.628 f0.5=0.891 37+616 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #mitfahrt -> mitfährt; 10 # p=1.000 r=0.915 f0.5=0.982 0+59 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #mochten -> möchten; 100000 # p=0.954 r=0.294 f0.5=0.658 319+769 2020-02-14 f0.1=0.93 FA/10k=0.006 (commented due to precision < 0.99) #münde -> munde; 10 # p=1.000 r=0.143 f0.5=0.455 40+7 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50) müsst -> musst; 10000000 # p=0.997 r=0.906 f0.5=0.977 360+955 2020-02-14 f0.1=1.00 FA/10k=0.000 musst -> müsst; 10 # p=1.000 r=0.858 f0.5=0.968 955+360 2020-02-14 f0.1=1.00 FA/10k=0.000 musste -> müsste; 10 # p=1.000 r=0.125 f0.5=0.417 929+983 2020-02-14 f0.1=0.94 FA/10k=0.000 #müßte -> mußte; 10000 # p=0.951 r=0.161 f0.5=0.480 230+478 2020-02-14 f0.1=0.91 FA/10k=0.050 (commented due to precision < 0.99) #mußte -> müßte; 100 # p=0.962 r=0.109 f0.5=0.374 478+230 2020-02-14 f0.1=0.89 FA/10k=0.039 (commented due to precision < 0.99) #nähe -> nahe; 10 # p=0.996 r=0.636 f0.5=0.895 10+731 2020-02-14 f0.1=0.99 FA/10k=0.001 (commented due to sample size < 50) nähen -> nahen; 1000 # p=0.996 r=0.804 f0.5=0.950 191+557 2020-02-14 f0.1=0.99 FA/10k=0.000 nahen -> nähen; 100 # p=1.000 r=0.283 f0.5=0.663 557+191 2020-02-14 f0.1=0.98 FA/10k=0.000 näher -> naher; 100 # p=1.000 r=0.813 f0.5=0.956 891+684 2020-02-14 f0.1=1.00 FA/10k=0.000 naher -> näher; 1000000 # p=0.997 r=0.645 f0.5=0.899 684+891 2020-02-14 f0.1=0.99 FA/10k=0.001 #nässe -> nasse; 10 # p=1.000 r=0.665 f0.5=0.908 3+677 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #nütze -> nutze; 10 # p=0.981 r=0.330 f0.5=0.704 92+639 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) nutzen -> nützen; 10 # p=0.991 r=0.258 f0.5=0.632 588+450 2020-02-14 f0.1=0.96 FA/10k=0.001 #nutzt -> nützt; 100 # p=0.966 r=0.317 f0.5=0.685 972+537 2020-02-14 f0.1=0.95 FA/10k=0.002 (commented due to precision < 0.99) #nützten -> nutzten; 1000 # p=0.955 r=0.234 f0.5=0.591 86+986 2020-02-14 f0.1=0.93 FA/10k=0.001 (commented due to precision < 0.99) #plätten -> platten; 1000 # p=1.000 r=0.500 f0.5=0.833 7+24 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #rängen -> rangen; 10 # p=0.991 r=0.550 f0.5=0.854 1+211 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) #röte -> rote; 10 # p=1.000 r=0.937 f0.5=0.987 0+254 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #röten -> roten; 100 # p=0.997 r=0.921 f0.5=0.980 30+315 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #roten -> röten; 1000 # p=1.000 r=0.267 f0.5=0.645 315+30 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #schlägt -> schlagt; 100 # p=1.000 r=0.269 f0.5=0.648 845+26 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #schlagt -> schlägt; 10 # p=0.983 r=0.763 f0.5=0.930 26+845 2020-02-14 f0.1=0.98 FA/10k=0.002 (commented due to precision < 0.99) #schmücke -> schmucke; 10 # p=1.000 r=0.691 f0.5=0.918 24+110 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #schmucke -> schmücke; 10 # p=1.000 r=0.708 f0.5=0.924 110+24 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) schmücken -> schmucken; 10 # p=1.000 r=0.817 f0.5=0.957 961+120 2020-02-14 f0.1=1.00 FA/10k=0.000 schmucken -> schmücken; 10 # p=0.996 r=0.750 f0.5=0.935 120+961 2020-02-14 f0.1=0.99 FA/10k=0.000 #schwäche -> schwache; 10 # p=0.997 r=0.842 f0.5=0.962 21+825 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #schwache -> schwäche; 100 # p=1.000 r=0.286 f0.5=0.667 825+21 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) schwächen -> schwachen; 10 # p=0.998 r=0.948 f0.5=0.987 183+842 2020-02-14 f0.1=1.00 FA/10k=0.000 schwachen -> schwächen; 100000 # p=1.000 r=0.623 f0.5=0.892 842+183 2020-02-14 f0.1=0.99 FA/10k=0.000 schwächer -> schwacher; 100 # p=0.996 r=0.703 f0.5=0.919 974+945 2020-02-14 f0.1=0.99 FA/10k=0.000 schwacher -> schwächer; 100000 # p=1.000 r=0.610 f0.5=0.887 945+974 2020-02-14 f0.1=0.99 FA/10k=0.000 #schwämmen -> schwammen; 100 # p=0.981 r=0.426 f0.5=0.778 5+242 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #schwärze -> schwarze; 1000 # p=1.000 r=0.936 f0.5=0.987 2+314 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) schwärzen -> schwarzen; 1000 # p=0.993 r=0.804 f0.5=0.948 63+506 2020-02-14 f0.1=0.99 FA/10k=0.001 schwarzen -> schwärzen; 1000 # p=1.000 r=0.270 f0.5=0.649 506+63 2020-02-14 f0.1=0.97 FA/10k=0.000 #schwärzer -> schwarzer; 10 # p=0.974 r=0.851 f0.5=0.947 42+134 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #schwarzer -> schwärzer; 100 # p=1.000 r=0.667 f0.5=0.909 134+42 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #schworen -> schwören; 10000 # p=0.973 r=0.399 f0.5=0.755 295+828 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #schwül -> schwul; 10 # p=0.983 r=0.462 f0.5=0.802 122+894 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #schwüle -> schwule; 10 # p=0.991 r=0.482 f0.5=0.818 43+446 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) schwülen -> schwulen; 10 # p=0.994 r=0.362 f0.5=0.737 57+464 2020-02-14 f0.1=0.98 FA/10k=0.000 #schalen -> schälen; 10 # p=1.000 r=0.737 f0.5=0.933 14+114 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #schalt -> schält; 10 # p=1.000 r=0.717 f0.5=0.927 26+138 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #schärfe -> scharfe; 10 # p=0.998 r=0.853 f0.5=0.965 12+652 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #scharfe -> schärfe; 1000 # p=1.000 r=0.333 f0.5=0.714 652+12 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) schärfen -> scharfen; 10 # p=0.995 r=0.937 f0.5=0.982 282+967 2020-02-14 f0.1=0.99 FA/10k=0.000 scharfen -> schärfen; 100 # p=1.000 r=0.667 f0.5=0.909 967+282 2020-02-14 f0.1=1.00 FA/10k=0.000 schärfer -> scharfer; 1000 # p=0.999 r=0.793 f0.5=0.949 582+905 2020-02-14 f0.1=1.00 FA/10k=0.000 scharfer -> schärfer; 1000 # p=0.995 r=0.723 f0.5=0.926 905+582 2020-02-14 f0.1=0.99 FA/10k=0.000 schön -> schon; 100000 # p=0.994 r=0.646 f0.5=0.897 512+759 2020-02-14 f0.1=0.99 FA/10k=0.022 schon -> schön; 100 # p=1.000 r=0.396 f0.5=0.767 759+512 2020-02-14 f0.1=0.99 FA/10k=0.000 #schöne -> schone; 100 # p=1.000 r=0.400 f0.5=0.769 371+35 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #schone -> schöne; 100 # p=0.989 r=0.943 f0.5=0.979 35+371 2020-02-14 f0.1=0.99 FA/10k=0.001 (commented due to precision < 0.99) schönen -> schonen; 1000 # p=1.000 r=0.820 f0.5=0.958 578+323 2020-02-14 f0.1=1.00 FA/10k=0.000 schonen -> schönen; 100 # p=0.993 r=0.917 f0.5=0.976 323+578 2020-02-14 f0.1=0.99 FA/10k=0.001 #sprächen -> sprachen; 10000000 # p=0.960 r=0.847 f0.5=0.935 166+85 2020-02-14 f0.1=0.96 FA/10k=0.003 (commented due to precision < 0.99) #spülen -> spulen; 10 # p=1.000 r=0.143 f0.5=0.455 152+14 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 50) #spulen -> spülen; 100 # p=0.980 r=0.638 f0.5=0.885 14+152 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #spuren -> spüren; 1000 # p=1.000 r=0.830 f0.5=0.961 4+963 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #spurt -> spürt; 100000 # p=0.998 r=0.535 f0.5=0.851 14+987 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #stählen -> stahlen; 10 # p=0.981 r=0.341 f0.5=0.713 13+302 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to precision < 0.99) #stahlen -> stählen; 1000 # p=1.000 r=0.538 f0.5=0.854 302+13 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #stärke -> starke; 10 # p=0.992 r=0.893 f0.5=0.971 15+421 2020-02-14 f0.1=0.99 FA/10k=0.003 (commented due to sample size < 50) #starke -> stärke; 1000 # p=1.000 r=0.333 f0.5=0.714 421+15 2020-02-14 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 50) stärken -> starken; 10 # p=0.996 r=0.959 f0.5=0.989 493+828 2020-02-14 f0.1=1.00 FA/10k=0.001 starken -> stärken; 100 # p=1.000 r=0.895 f0.5=0.977 828+493 2020-02-14 f0.1=1.00 FA/10k=0.000 stärker -> starker; 10000 # p=0.998 r=0.601 f0.5=0.882 824+805 2020-02-14 f0.1=0.99 FA/10k=0.001 starker -> stärker; 100000 # p=1.000 r=0.598 f0.5=0.882 805+824 2020-02-14 f0.1=0.99 FA/10k=0.000 #stunde -> stünde; 10 # p=0.997 r=0.734 f0.5=0.930 3+788 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #stunden -> stünden; 10 # p=0.998 r=0.661 f0.5=0.906 3+881 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #stutzen -> stützen; 10000000 # p=0.979 r=0.203 f0.5=0.554 45+459 2020-02-14 f0.1=0.94 FA/10k=0.002 (commented due to precision < 0.99) #sächlich -> sachlich; 10000000 # p=0.982 r=0.352 f0.5=0.723 79+920 2020-02-14 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99) #sächliche -> sachliche; 10000000 # p=0.989 r=0.446 f0.5=0.795 69+835 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) #säge -> sage; 10 # p=0.984 r=0.931 f0.5=0.973 8+130 2020-02-14 f0.1=0.98 FA/10k=0.001 (commented due to precision < 0.99) #sägt -> sagt; 1000000 # p=0.974 r=0.712 f0.5=0.907 58+885 2020-02-14 f0.1=0.97 FA/10k=0.014 (commented due to precision < 0.99) träfen -> trafen; 1000000 # p=0.991 r=0.363 f0.5=0.736 65+901 2020-02-14 f0.1=0.97 FA/10k=0.000 träge -> trage; 100000 # p=1.000 r=0.524 f0.5=0.846 571+760 2020-02-14 f0.1=0.99 FA/10k=0.000 trage -> träge; 10 # p=0.993 r=0.723 f0.5=0.924 760+571 2020-02-14 f0.1=0.99 FA/10k=0.000 trägen -> tragen; 100000 # p=0.996 r=0.518 f0.5=0.841 153+882 2020-02-14 f0.1=0.99 FA/10k=0.001 tragen -> trägen; 100 # p=1.000 r=0.575 f0.5=0.871 882+153 2020-02-14 f0.1=0.99 FA/10k=0.000 #tränken -> tranken; 10000 # p=0.973 r=0.309 f0.5=0.680 79+353 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) tranken -> tränken; 100 # p=1.000 r=0.570 f0.5=0.869 353+79 2020-02-14 f0.1=0.99 FA/10k=0.000 #träten -> traten; 10000000 # p=0.970 r=0.336 f0.5=0.705 59+871 2020-02-14 f0.1=0.95 FA/10k=0.004 (commented due to precision < 0.99) #trögen -> trogen; 10 # p=1.000 r=0.750 f0.5=0.938 1+4 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #trogen -> trögen; 10 # p=1.000 r=1.000 f0.5=1.000 4+1 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) täten -> taten; 10000000 # p=1.000 r=0.146 f0.5=0.461 159+240 2020-02-14 f0.1=0.95 FA/10k=0.000 taten -> täten; 10 # p=1.000 r=0.119 f0.5=0.404 240+159 2020-02-14 f0.1=0.93 FA/10k=0.000 #tauschen -> täuschen; 10000 # p=0.973 r=0.196 f0.5=0.543 896+923 2020-02-14 f0.1=0.94 FA/10k=0.001 (commented due to precision < 0.99) #täuschten -> tauschten; 100 # p=0.963 r=0.266 f0.5=0.632 76+986 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99) töte -> tote; 10000 # p=1.000 r=0.829 f0.5=0.960 181+123 2020-02-14 f0.1=1.00 FA/10k=0.000 tote -> töte; 100 # p=1.000 r=0.646 f0.5=0.901 123+181 2020-02-14 f0.1=0.99 FA/10k=0.000 #töten -> toten; 100000 # p=0.967 r=0.750 f0.5=0.914 747+116 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99) toten -> töten; 10 # p=0.999 r=0.910 f0.5=0.980 116+747 2020-02-14 f0.1=1.00 FA/10k=0.000 #tüten -> tuten; 10 # p=1.000 r=0.231 f0.5=0.600 12+13 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #umlauft -> umläuft; 10 # p=1.000 r=0.241 f0.5=0.613 0+357 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) #verbänden -> verbanden; 10 # p=1.000 r=0.534 f0.5=0.851 10+989 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #verbanden -> verbänden; 100 # p=1.000 r=0.100 f0.5=0.357 989+10 2020-02-14 f0.1=0.92 FA/10k=0.000 (commented due to sample size < 50) #verbünden -> verbunden; 10000000 # p=0.962 r=0.321 f0.5=0.688 504+784 2020-02-14 f0.1=0.94 FA/10k=0.021 (commented due to precision < 0.99) verbunden -> verbünden; 10 # p=0.997 r=0.679 f0.5=0.912 784+504 2020-02-14 f0.1=0.99 FA/10k=0.002 verfügt -> verfugt; 100 # p=1.000 r=0.208 f0.5=0.568 933+96 2020-02-14 f0.1=0.96 FA/10k=0.000 verfugt -> verfügt; 1000000 # p=0.990 r=0.327 f0.5=0.704 96+933 2020-02-14 f0.1=0.97 FA/10k=0.001 verführen -> verfuhren; 100 # p=1.000 r=0.493 f0.5=0.829 969+67 2020-02-14 f0.1=0.99 FA/10k=0.000 verfuhren -> verführen; 100 # p=0.998 r=0.835 f0.5=0.960 67+969 2020-02-14 f0.1=1.00 FA/10k=0.000 #verlören -> verloren; 10000000 # p=0.973 r=0.524 f0.5=0.830 80+886 2020-02-14 f0.1=0.96 FA/10k=0.008 (commented due to precision < 0.99) verträglich -> vertraglich; 1000 # p=0.993 r=0.753 f0.5=0.934 579+929 2020-02-14 f0.1=0.99 FA/10k=0.000 vertraglich -> verträglich; 10000 # p=0.997 r=0.592 f0.5=0.877 929+579 2020-02-14 f0.1=0.99 FA/10k=0.000 verträgliche -> vertragliche; 100000 # p=0.996 r=0.715 f0.5=0.924 141+761 2020-02-14 f0.1=0.99 FA/10k=0.000 vertragliche -> verträgliche; 1000 # p=1.000 r=0.411 f0.5=0.777 761+141 2020-02-14 f0.1=0.99 FA/10k=0.000 verträglichen -> vertraglichen; 1000000 # p=1.000 r=0.605 f0.5=0.884 97+837 2020-02-14 f0.1=0.99 FA/10k=0.000 vertraglichen -> verträglichen; 100 # p=1.000 r=0.258 f0.5=0.635 837+97 2020-02-14 f0.1=0.97 FA/10k=0.000 verträglicher -> vertraglicher; 1000 # p=0.994 r=0.706 f0.5=0.919 58+255 2020-02-14 f0.1=0.99 FA/10k=0.000 vertraglicher -> verträglicher; 100 # p=1.000 r=0.483 f0.5=0.824 255+58 2020-02-14 f0.1=0.99 FA/10k=0.000 #vorbeifahrt -> vorbeifährt; 10 # p=1.000 r=0.584 f0.5=0.875 0+77 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 50) #weiterfahrt -> weiterfährt; 10 # p=1.000 r=0.962 f0.5=0.992 2+53 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #wägen -> wagen; 10000000 # p=1.000 r=0.188 f0.5=0.537 46+69 2020-02-14 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 50) #wagen -> wägen; 10 # p=1.000 r=0.261 f0.5=0.638 69+46 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) wägt -> wagt; 10000 # p=0.995 r=0.469 f0.5=0.813 54+862 2020-02-14 f0.1=0.98 FA/10k=0.000 wagt -> wägt; 1000 # p=1.000 r=0.148 f0.5=0.465 862+54 2020-02-14 f0.1=0.95 FA/10k=0.000 währen -> wahren; 10000 # p=0.997 r=0.849 f0.5=0.963 122+813 2020-02-14 f0.1=1.00 FA/10k=0.001 wahren -> währen; 100 # p=1.000 r=0.508 f0.5=0.838 813+122 2020-02-14 f0.1=0.99 FA/10k=0.000 #währt -> wahrt; 10000 # p=0.978 r=0.251 f0.5=0.620 493+175 2020-02-14 f0.1=0.95 FA/10k=0.000 (commented due to precision < 0.99) wahrt -> währt; 1000 # p=1.000 r=0.627 f0.5=0.894 175+493 2020-02-14 f0.1=0.99 FA/10k=0.000 währte -> wahrte; 1000 # p=1.000 r=0.175 f0.5=0.515 981+234 2020-02-14 f0.1=0.96 FA/10k=0.000 wahrte -> währte; 100 # p=0.993 r=0.687 f0.5=0.912 234+981 2020-02-14 f0.1=0.99 FA/10k=0.000 walzen -> wälzen; 100000 # p=1.000 r=0.146 f0.5=0.461 98+89 2020-02-14 f0.1=0.95 FA/10k=0.000 #wärme -> warme; 10 # p=1.000 r=0.828 f0.5=0.960 12+839 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #warme -> wärme; 100 # p=1.000 r=0.250 f0.5=0.625 839+12 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 50) wärmen -> warmen; 100 # p=0.998 r=0.908 f0.5=0.978 151+884 2020-02-14 f0.1=1.00 FA/10k=0.000 warmen -> wärmen; 1000 # p=1.000 r=0.662 f0.5=0.907 884+151 2020-02-14 f0.1=0.99 FA/10k=0.000 wärmer -> warmer; 100 # p=0.995 r=0.636 f0.5=0.894 667+602 2020-02-14 f0.1=0.99 FA/10k=0.000 warmer -> wärmer; 10000 # p=0.998 r=0.676 f0.5=0.911 602+667 2020-02-14 f0.1=0.99 FA/10k=0.000 #wärst -> warst; 100000 # p=0.963 r=0.485 f0.5=0.804 211+747 2020-02-14 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99) warst -> wärst; 100 # p=1.000 r=0.161 f0.5=0.490 747+211 2020-02-14 f0.1=0.95 FA/10k=0.000 #würde -> wurde; 1000000 # p=0.966 r=0.525 f0.5=0.827 767+810 2020-02-14 f0.1=0.96 FA/10k=0.276 (commented due to precision < 0.99) #wurde -> würde; 10 # p=0.995 r=0.512 f0.5=0.837 810+767 2020-02-14 f0.1=0.99 FA/10k=0.041 (commented due to estimated false alarms rate > 0.025) wurden -> würden; 10 # p=0.996 r=0.261 f0.5=0.638 864+849 2020-02-14 f0.1=0.97 FA/10k=0.016 wurdest -> würdest; 100000 # p=0.994 r=0.500 f0.5=0.830 64+624 2020-02-14 f0.1=0.98 FA/10k=0.000 #wüsste -> wusste; 10000000 # p=0.968 r=0.183 f0.5=0.521 539+979 2020-02-14 f0.1=0.93 FA/10k=0.002 (commented due to precision < 0.99) wusste -> wüsste; 100 # p=1.000 r=0.265 f0.5=0.644 979+539 2020-02-14 f0.1=0.97 FA/10k=0.000 #wüssten -> wussten; 100000 # p=0.959 r=0.199 f0.5=0.543 230+951 2020-02-14 f0.1=0.92 FA/10k=0.001 (commented due to precision < 0.99) wüsstest -> wusstest; 1000000 # p=1.000 r=0.545 f0.5=0.857 72+66 2020-02-14 f0.1=0.99 FA/10k=0.000 wusstest -> wüsstest; 100 # p=1.000 r=0.597 f0.5=0.881 66+72 2020-02-14 f0.1=0.99 FA/10k=0.000 #wüßte -> wußte; 10000 # p=0.961 r=0.527 f0.5=0.825 79+279 2020-02-14 f0.1=0.95 FA/10k=0.007 (commented due to precision < 0.99) wußte -> wüßte; 1000 # p=1.000 r=0.139 f0.5=0.447 279+79 2020-02-14 f0.1=0.94 FA/10k=0.000 #zwängen -> zwangen; 100 # p=0.981 r=0.573 f0.5=0.859 96+986 2020-02-14 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) zwangen -> zwängen; 10 # p=1.000 r=0.531 f0.5=0.850 986+96 2020-02-14 f0.1=0.99 FA/10k=0.000 zähle -> zahle; 100 # p=1.000 r=0.193 f0.5=0.544 292+140 2020-02-14 f0.1=0.96 FA/10k=0.000 #zahle -> zähle; 1000 # p=0.962 r=0.264 f0.5=0.629 140+292 2020-02-14 f0.1=0.94 FA/10k=0.000 (commented due to precision < 0.99) zählen -> zahlen; 1000 # p=1.000 r=0.264 f0.5=0.642 712+91 2020-02-14 f0.1=0.97 FA/10k=0.000 zahlen -> zählen; 1000 # p=1.000 r=0.435 f0.5=0.794 91+712 2020-02-14 f0.1=0.99 FA/10k=0.000 #zählende -> zahlende; 100 # p=0.988 r=0.774 f0.5=0.936 966+523 2020-02-14 f0.1=0.99 FA/10k=0.000 (commented due to precision < 0.99) zahlende -> zählende; 100 # p=1.000 r=0.588 f0.5=0.877 523+966 2020-02-14 f0.1=0.99 FA/10k=0.000 zählenden -> zahlenden; 1000 # p=0.997 r=0.542 f0.5=0.853 971+554 2020-02-14 f0.1=0.99 FA/10k=0.000 zahlenden -> zählenden; 1000 # p=0.997 r=0.398 f0.5=0.766 554+971 2020-02-14 f0.1=0.98 FA/10k=0.000 zählt -> zahlt; 10 # p=0.997 r=0.382 f0.5=0.754 833+920 2020-02-14 f0.1=0.98 FA/10k=0.000 #zahlt -> zählt; 1000000 # p=0.958 r=0.217 f0.5=0.570 920+833 2020-02-14 f0.1=0.93 FA/10k=0.005 (commented due to precision < 0.99) zählte -> zahlte; 10 # p=0.993 r=0.273 f0.5=0.650 654+981 2020-02-14 f0.1=0.97 FA/10k=0.000 zählten -> zahlten; 10 # p=0.993 r=0.291 f0.5=0.669 830+932 2020-02-14 f0.1=0.97 FA/10k=0.000 #zahlten -> zählten; 1000000 # p=0.952 r=0.192 f0.5=0.531 932+830 2020-02-14 f0.1=0.92 FA/10k=0.001 (commented due to precision < 0.99) zähmen -> zahmen; 10 # p=1.000 r=0.793 f0.5=0.950 202+116 2020-02-14 f0.1=1.00 FA/10k=0.000 zahmen -> zähmen; 100000 # p=1.000 r=0.495 f0.5=0.831 116+202 2020-02-14 f0.1=0.99 FA/10k=0.000 #zögen -> zogen; 10000000 # p=0.977 r=0.356 f0.5=0.724 90+936 2020-02-14 f0.1=0.96 FA/10k=0.002 (commented due to precision < 0.99) #Ächten -> achten; 100 # p=0.997 r=0.829 f0.5=0.958 4+861 2020-02-14 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 50) #ächten -> achten; 1000000 # p=0.972 r=0.447 f0.5=0.787 113+861 2020-02-14 f0.1=0.96 FA/10k=0.003 (commented due to precision < 0.99) #älter -> alter; 10000 # p=0.955 r=0.563 f0.5=0.838 885+151 2020-02-14 f0.1=0.95 FA/10k=0.007 (commented due to precision < 0.99) alter -> älter; 100 # p=0.999 r=0.922 f0.5=0.982 151+885 2020-02-14 f0.1=1.00 FA/10k=0.000 ärmer -> armer; 100000 # p=1.000 r=0.706 f0.5=0.923 185+710 2020-02-14 f0.1=1.00 FA/10k=0.000 armer -> ärmer; 100000 # p=1.000 r=0.627 f0.5=0.894 710+185 2020-02-14 f0.1=0.99 FA/10k=0.000