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Treebank Statistics: UD_German-GSD: 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].

133600 tokens (46%) have a non-empty value of Gender. 40697 types (80%) occur at least once with a non-empty value of Gender. 34924 lemmas (83%) occur at least once with a non-empty value of Gender. The feature is used with 9 part-of-speech tags: NOUN (50961; 17% instances), DET (35813; 12% instances), PROPN (26203; 9% instances), ADJ (14124; 5% instances), PRON (6249; 2% instances), NUM (102; 0% instances), X (79; 0% instances), ADV (59; 0% instances), SYM (10; 0% instances).

NOUN

50961 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 (36862; 72%).

NOUN tokens may have the following values of Gender:

• Fem (21204; 42% of non-empty Gender): Zeit, Stadt, Familie, Gemeinde, Saison, Frau, Gruppe, Region, Geschichte, Kirche
• Masc (18421; 36% of non-empty Gender): Teil, Ort, Menschen, Platz, Sohn, km, Namen, Anfang, Titel, Meter
• Neut (11336; 22% of non-empty Gender): jahr, Jahre, Jahren, Prozent, Ende, %, Unternehmen, Kinder, Leben, Mitglied
• EMPTY (1336): mm, Eltern, Jahrhundert, Leute, Kosten, °, m, mal, Deutschen, Beschäftigten

Paradigm Tag	Masc	Fem	Neut
Case=Acc|Number=Sing	Tag
Case=Acc|Number=Plur	Tage
Case=Dat|Number=Sing	Tag, Tage
Case=Dat|Number=Plur	Tagen
Case=Gen|Number=Sing	Tages, Tags
Case=Gen|Number=Plur	Tage		Tages
Case=Nom|Number=Sing	Tag	Tage
Case=Nom|Number=Plur	Tage

Gender seems to be lexical feature of NOUN. 94% lemmas (16986) occur only with one value of Gender.

DET

35813 DET tokens (87% 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 (33995; 95%), NumType=EMPTY (30232; 84%), PronType=Art (30045; 84%), Definite=Def (24595; 69%).

DET tokens may have the following values of Gender:

• Fem (15479; 43% of non-empty Gender): der, die, eine, einer, seine, diese, seiner, dieser, ihre, keine
• Masc (12195; 34% of non-empty Gender): dem, der, den, des, ein, einen, einem, eines, seinen, diesem
• Neut (8139; 23% of non-empty Gender): dem, das, ein, des, einem, dies, sein, eines, dieses, allem
• EMPTY (5393): die, den, der, the, diese, alle, mehr, viel, viele, beiden

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

PROPN

26203 PROPN tokens (86% 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 (25072; 96%).

PROPN tokens may have the following values of Gender:

• Fem (5726; 22% of non-empty Gender): SPD, Mark, Universität, Schweiz, US, Maria, DDR, Deutschen, CDU, Straße
• Masc (12777; 49% of non-empty Gender): Oktober, US, August, Mai, November, September, Juli, Peter, Weltkrieg, Johann
• Neut (7700; 29% of non-empty Gender): Deutschland, Berlin, Frankreich, München, Wien, London, New, Paris, St., Italien
• EMPTY (4216): of, de, la, a, University, II, Wiener, Berliner, 1, B

Paradigm Deutschland	Masc	Fem	Neut
Case=Acc			Deutschland
Case=Dat		Deutschland	Deutschland
Case=Gen			Deutschlands, Deutschland
Case=Nom	Deutschland		Deutschland

Gender seems to be lexical feature of PROPN. 91% lemmas (13219) occur only with one value of Gender.

ADJ

14124 ADJ tokens (65% 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 (13050; 92%), Number=Sing (9925; 70%).

ADJ tokens may have the following values of Gender:

• Fem (6407; 45% of non-empty Gender): erste, ersten, neue, weitere, große, gute, deutschen, verschiedenen, deutsche, großen
• Masc (4726; 33% of non-empty Gender): ersten, zweiten, neuen, großen, erste, weiteren, weitere, heutigen, amerikanischen, neue
• Neut (2991; 21% of non-empty Gender): ersten, erste, letzten, weitere, neuen, gleichen, neues, gutes, neue, folgenden
• EMPTY (7615): später, gut, bekannt, kurz, freundlich, schnell, lang, neu, direkt, super

Paradigm erst	Masc	Fem	Neut
Case=Acc|Number=Sing	ersten	erste	erste, erstes
Case=Acc|Number=Plur	ersten, erste	erste, ersten	erste, ersten
Case=Dat|Number=Sing	ersten	ersten, erster	ersten
Case=Dat|Number=Plur	ersten	ersten	ersten
Case=Gen|Number=Sing	ersten	ersten	ersten
Case=Gen|Number=Plur	ersten	ersten	ersten
Case=Nom|Number=Sing	erste, erster	erste	erste, erstes
Case=Nom|Number=Plur	ersten, erste	ersten, erste	ersten, Erste

PRON

6249 PRON tokens (58% 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 (6249; 100%), Number=Sing (6221; 100%), Case=Nom (4875; 78%), PronType=Prs (4293; 69%), Person=3 (4269; 68%).

PRON tokens may have the following values of Gender:

• Fem (1278; 20% of non-empty Gender): sie, die, der, ihr, deren, ich, mich, wir, She, derer
• Masc (3085; 49% of non-empty Gender): er, der, ihm, ihn, dem, dessen, den, ich, wer, sie
• Neut (1886; 30% of non-empty Gender): es, das, was, dem, nichts, etwas, it, dessen, ‘s, nix
• EMPTY (4596): sich, ich, die, sie, man, wir, uns, mir, mich, denen

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

NUM

102 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 (102; 100%).

NUM tokens may have the following values of Gender:

• Fem (39; 38% of non-empty Gender): Millionen, zweier, 15, Million, 30, 35, 6, 1.681.469, 132,5-165, 1834-1911
• Masc (34; 33% of non-empty Gender): 50, 10, 28, 7, -10, -2288,9, -60, 0:2, 0:3, 1
• Neut (29; 28% of non-empty Gender): 10, 3, 1:1, ², +7,6, 100, 1000, 17, 1846-1925, 1882-1953
• EMPTY (7235): zwei, drei, vier, 2007, 2006, fünf, 2009, 2010, sechs, 2008

Paradigm 2	Masc	Fem	Neut
Case=Acc	2
Case=Dat		2
Case=Nom			2

X

79 X tokens (25% of all X tokens) have a non-empty value of Gender.

The most frequent other feature values with which X and Gender co-occurred: Foreign=EMPTY (79; 100%), Number=Sing (60; 76%).

X tokens may have the following values of Gender:

• Fem (25; 32% of non-empty Gender): Chr, B., E, S., €, #, B, C, La, MEZ
• Masc (20; 25% of non-empty Gender): :-), B., :), ???a?, ??µ?????, A, Fr, Hauswurde, Hl, Min
• Neut (34; 43% of non-empty Gender): %, B., Abs, 4Jahren, ???????, Aufl, Az., C., Chr, Gr
• EMPTY (234): ’s, u.a., etc., z.B., z., a, †, u, z, *

Paradigm B.	Masc	Fem	Neut
Case=Dat			B.
Case=Nom	B.	B.

Gender seems to be lexical feature of X. 92% lemmas (46) occur only with one value of Gender.

ADV

59 ADV tokens (0% of all ADV tokens) have a non-empty value of Gender.

ADV tokens may have the following values of Gender:

• Fem (17; 29% of non-empty Gender): lange, super, Allzeit, Kehrt, Nahe, Wenige, Zügig, absolute, aka, ca
• Masc (21; 36% of non-empty Gender): Abends, Anfangs, ECHT, EINFACH, Ex, Gottlob, Katzelmacher, Křižanov, NIE, NIEMALS
• Neut (21; 36% of non-empty Gender): was, ca, anderem, Dort, How, Mal, PMMA, Rääts, SEHR, Weitere
• EMPTY (13825): auch, nur, noch, sehr, so, dort, wieder, hier, mehr, heute

Paradigm ca	Fem	Neut
Case=Acc	ca	ca
Case=Dat		ca

Gender seems to be lexical feature of ADV. 92% lemmas (44) occur only with one value of Gender.

SYM

10 SYM tokens (10% of all SYM tokens) have a non-empty value of Gender.

SYM tokens may have the following values of Gender:

• Fem (1; 10% of non-empty Gender): °
• Masc (4; 40% of non-empty Gender): :-), o, °, ·
• Neut (5; 50% of non-empty Gender): %, ×
• EMPTY (90): &, =, /, +, ×, *, €, “, -, :-)

Paradigm °	Masc	Fem
	°	°

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[det]–> DET (26061; 84%), NOUN –[amod]–> ADJ (11918; 91%), PROPN –[flat]–> PROPN (4766; 82%), PROPN –[det]–> DET (4540; 82%), NOUN –[det:poss]–> DET (2175; 95%), NOUN –[appos]–> PROPN (1763; 55%), PROPN –[conj]–> PROPN (1313; 63%), PROPN –[amod]–> PROPN (1060; 75%), NOUN –[compound]–> NOUN (667; 78%), PROPN –[flat]–> NOUN (660; 84%).

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