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Treebank Statistics: UD_German-PUD: Features: Gender

This feature is universal. It occurs with 3 different values: Fem, Masc, Neut.

This is a layered feature with the following layers: Gender, Gender[psor].

9608 tokens (45%) have a non-empty value of Gender. 4430 types (68%) occur at least once with a non-empty value of Gender. 3775 lemmas (71%) occur at least once with a non-empty value of Gender. The feature is used with 6 part-of-speech tags: NOUN (4080; 19% instances), DET (2642; 12% instances), ADJ (1187; 6% instances), PROPN (1116; 5% instances), PRON (579; 3% instances), NUM (4; 0% instances).

NOUN

4080 NOUN tokens (97% of all NOUN tokens) have a non-empty value of Gender.

The most frequent other feature values with which NOUN and Gender co-occurred: Number=Sing (2896; 71%).

NOUN tokens may have the following values of Gender:

• Fem (1693; 41% of non-empty Gender): Zeit, Regierung, Stadt, Geschichte, Welt, Armee, Frau, Millionen, Region, Reihe
• Masc (1463; 36% of non-empty Gender): Menschen, Oktober, Teil, Film, Kaiser, April, Fall, Krieg, Präsident, Tag
• Neut (924; 23% of non-empty Gender): Jahr, Jahre, Jahren, Jahrhundert, Mal, Land, Leben, Meer, Ende, Reich
• EMPTY (110): Leute, Kosten, anderen, Investors, Konservativen, North, Roma, Strategy, Target, 1350ern

Paradigm ander	Masc	Fem	Neut
Case=Acc|Number=Plur		andere
Case=Dat|Number=Sing			anderem
Case=Nom|Number=Sing			andere
Case=Nom|Number=Plur	andere

Gender seems to be lexical feature of NOUN. 99% lemmas (2316) occur only with one value of Gender.

DET

2642 DET tokens (85% of all DET tokens) have a non-empty value of Gender.

The most frequent other feature values with which DET and Gender co-occurred: Number=Sing (2452; 93%), NumType=EMPTY (2199; 83%), PronType=Art (2132; 81%), Definite=Def (1700; 64%).

DET tokens may have the following values of Gender:

• Fem (1130; 43% of non-empty Gender): der, die, eine, einer, seine, diese, ihre, seiner, ihrer, dieser
• Masc (853; 32% of non-empty Gender): dem, der, den, des, ein, einen, einem, dieser, seinen, diesem
• Neut (659; 25% of non-empty Gender): das, dem, ein, des, einem, eines, ihr, dies, dieses, sein
• EMPTY (464): die, den, der, ein, the, a, alle, Diese, meisten, viele

Paradigm der	Masc	Fem	Neut
Case=Acc	den	die	das
Case=Dat	dem	der	dem
Case=Gen	des	der	des
Case=Nom	der	die	das

ADJ

1187 ADJ tokens (84% of all ADJ tokens) have a non-empty value of Gender.

The most frequent other feature values with which ADJ and Gender co-occurred: Degree=Pos (1112; 94%), Number=Sing (815; 69%).

ADJ tokens may have the following values of Gender:

• Fem (519; 44% of non-empty Gender): neue, eigene, ersten, große, öffentliche, amerikanischen, guten, kleine, neuen, verschiedenen
• Masc (376; 32% of non-empty Gender): ersten, Vereinigten, letzten, neue, 1., besten, gesamten, große, großer, neuen
• Neut (292; 25% of non-empty Gender): letzten, ersten, Olympischen, eigenen, 8., drittes, karibische, neuen, 13., 1960er
• EMPTY (225): bekannt, möglich, groß, klar, paar, sicher, unglaublich, verheiratet, alt, ausgerichtet

Paradigm neu	Masc	Fem	Neut
Case=Acc|Degree=Pos|Number=Sing	neuen	neue	neues
Case=Acc|Degree=Pos|Number=Plur	neue, neuen	neue, neuen	neue
Case=Dat|Degree=Pos|Number=Sing			neuen
Case=Dat|Degree=Pos|Number=Plur		neuen
Case=Gen|Degree=Pos|Number=Sing	neuen		neuen
Case=Gen|Degree=Pos|Number=Plur	neuer	neuer
Case=Nom|Degree=Pos|Number=Sing	neue
Case=Nom|Degree=Pos|Number=Plur	neue	neue, neuen	neue
Case=Nom|Degree=Sup|Number=Sing			neuestes
Case=Nom|Degree=Sup|Number=Plur		neuesten

PROPN

1116 PROPN tokens (92% of all PROPN tokens) have a non-empty value of Gender.

The most frequent other feature values with which PROPN and Gender co-occurred: Number=Sing (1084; 97%).

PROPN tokens may have the following values of Gender:

• Fem (221; 20% of non-empty Gender): Qing, US, BBC, Clinton, Kesha, Mongolei, Alpen, Blunt, Erde, Jasmine
• Masc (511; 46% of non-empty Gender): Chr., Trump, Joseph, USA, Donald, Martin, Richard, Bogd, Christopher, Columbus
• Neut (384; 34% of non-empty Gender): China, Frankreich, Hong, Paris, Russland, Asien, Danewerk, Deutschland, England, Griechenland
• EMPTY (102): Tarlo, Uber, Anden, Aviva, Maya, Spotify, USA, VW, Agora, Amazon

Paradigm Trump	Masc	Fem
Case=Acc	Trump
Case=Dat	Trump
Case=Nom	Trump	Trump

Gender seems to be lexical feature of PROPN. 97% lemmas (762) occur only with one value of Gender.

PRON

579 PRON tokens (59% of all PRON tokens) have a non-empty value of Gender.

The most frequent other feature values with which PRON and Gender co-occurred: Reflex=EMPTY (579; 100%), Number=Sing (550; 95%), Case=Nom (459; 79%), Person=3 (403; 70%), PronType=Prs (403; 70%).

PRON tokens may have the following values of Gender:

• Fem (136; 23% of non-empty Gender): sie, die, der, ihr, Her
• Masc (241; 42% of non-empty Gender): er, der, sie, ihm, ihn, dem, dessen, ihnen, den
• Neut (202; 35% of non-empty Gender): es, was, das, etwas, nichts, sie, dem, alldem
• EMPTY (401): sich, die, ich, sie, wir, man, denen, mich, uns, deren

Paradigm der	Masc	Fem	Neut
Case=Acc	den	die	das
Case=Dat	dem	der	dem
Case=Gen	dessen
Case=Nom	der	die	das

NUM

4 NUM tokens (1% of all NUM tokens) have a non-empty value of Gender.

The most frequent other feature values with which NUM and Gender co-occurred: NumType=Card (3; 75%).

NUM tokens may have the following values of Gender:

• Fem (1; 25% of non-empty Gender): zweier
• Masc (3; 75% of non-empty Gender): 24, hunderte, zweier
• EMPTY (352): zwei, drei, vier, 3, sechs, zehn, 1, 10, 50, 100

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[det]–> DET (2207; 86%), NOUN –[amod]–> ADJ (1051; 100%), NOUN –[det:poss]–> DET (220; 100%), PROPN –[flat:name]–> PROPN (158; 100%), ADJ –[conj]–> ADJ (93; 100%), NOUN –[appos]–> PROPN (90; 67%), PROPN –[det]–> DET (87; 83%), NOUN –[compound]–> NOUN (82; 91%), NOUN –[compound]–> PROPN (73; 100%), PROPN –[conj]–> PROPN (41; 77%).

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