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Treebank Statistics: UD_German-HDT: Features: Gender

This feature is universal. It occurs with 3 different values: Fem, Masc, Neut. Some words have combined values of the feature; 1 combinations have been observed: Masc|Neut.

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

1236230 tokens (36%) have a non-empty value of Gender. 116363 types (62%) occur at least once with a non-empty value of Gender. 93344 lemmas (64%) occur at least once with a non-empty value of Gender. The feature is used with 8 part-of-speech tags: NOUN (684409; 20% instances), DET (395436; 11% instances), ADJ (84146; 2% instances), PRON (44113; 1% instances), PROPN (27734; 1% instances), ADV (188; 0% instances), X (178; 0% instances), NUM (26; 0% instances).

NOUN

684409 NOUN tokens (94% of all NOUN tokens) have a non-empty value of Gender.

The most frequent other feature values with which NOUN and Gender co-occurred: Case=EMPTY (608206; 89%), Number=Sing (450013; 66%).

NOUN tokens may have the following values of Gender:

• Fem (270252; 39% of non-empty Gender): Millionen, Mark, Milliarden, Firma, Angaben, Software, Zeit, Firmen, Version, Informationen
• Masc (249767; 36% of non-empty Gender): US-Dollar, Euro, Markt, Dollar, Hersteller, Computer, Umsatz, Preis, Anfang, Mitarbeiter
• Neut (164390; 24% of non-empty Gender): Prozent, Internet, Unternehmen, Jahr, Ende, Quartal, Jahres, Jahren, Netz, Daten
• EMPTY (44692): Kunden, Teil, Pentium, Kunde, Teile, Steuern, Befragten, Beschäftigten, informations-, Angestellten

Paradigm Deutsch	Masc	Fem	Neut
Case=Acc	Deutschen
Case=Nom	Deutsche, Deutscher
		Deutsche, Deutscher	Deutsch, Deutsche, Deutschen

Gender seems to be lexical feature of NOUN. 100% lemmas (85728) occur only with one value of Gender.

DET

395436 DET tokens (80% 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 (394886; 100%), PronType=Art (356611; 90%), NumType=EMPTY (326524; 83%), Definite=Def (287697; 73%).

DET tokens may have the following values of Gender:

• Fem (158052; 40% of non-empty Gender): die, der, eine, einer, diese, seiner, seine, dieser, keine, ihre
• Masc (108580; 27% of non-empty Gender): der, den, des, dem, einen, ein, einem, eines, diesem, seinen
• Masc,Neut (47860; 12% of non-empty Gender): dem
• Neut (80944; 20% of non-empty Gender): das, ein, des, dem, einem, allem, dies, dieses, eines, diesem
• EMPTY (98931): die, der, den, alle, ihre, diese, keine, viele, anderen, seine

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

ADJ

84146 ADJ tokens (32% of all ADJ tokens) have a non-empty value of Gender.

The most frequent other feature values with which ADJ and Gender co-occurred: Variant=EMPTY (84145; 100%), Number=Sing (75312; 90%), Degree=Pos (74297; 88%), Case=EMPTY (55347; 66%).

ADJ tokens may have the following values of Gender:

• Fem (38429; 46% of non-empty Gender): neue, deutsche, erste, weitere, eigene, große, nächste, deutschen, digitale, letzte
• Masc (26557; 32% of non-empty Gender): neuen, neue, ersten, neuer, deutsche, deutschen, großen, größte, erste, eigenen
• Neut (19160; 23% of non-empty Gender): neue, neues, erste, weiteres, ersten, laufende, neuen, eigenes, erstes, zweite
• EMPTY (178465): neuen, ersten, deutschen, neue, vergangenen, eigenen, letzten, nächsten, möglich, gut

Paradigm neu	Masc	Fem	Neut
Case=Acc|Degree=Pos|Number=Sing	neuen
Case=Acc|Degree=Pos|Number=Plur	neuen	neuen	neuen
Case=Acc|Degree=Cmp|Number=Sing	neueren
Case=Acc|Degree=Sup|Number=Sing	neuesten
Case=Acc|Degree=Sup|Number=Plur	neuesten	neuesten, neusten	neuesten, neusten
Case=Dat|Degree=Pos|Number=Sing	neuen	neuen, neuer	neuen
Case=Dat|Degree=Pos|Number=Plur	neuen	neuen	neuen
Case=Dat|Degree=Cmp|Number=Plur	neueren	neueren
Case=Dat|Degree=Sup|Number=Sing		neuesten
Case=Dat|Degree=Sup|Number=Plur		neuesten
Case=Gen|Degree=Pos|Number=Plur	neuen, neuer	neuer, neuen	neuer, neuen
Case=Nom|Degree=Pos|Number=Sing	neue, neuer		neues
Case=Nom|Degree=Pos|Number=Plur	neuen	neuen	neuen
Case=Nom|Degree=Cmp|Number=Sing	neuere, neuerer
Case=Nom|Degree=Cmp|Number=Plur	neueren
Case=Nom|Degree=Sup|Number=Sing	neueste, neuester, neuste
Case=Nom|Degree=Sup|Number=Plur			neuesten
Degree=Pos|Number=Sing	neuen	neue, neuen, neuer	neues, neue, neuen
Degree=Pos|Number=Plur	neue	neue, neuen	neue, neuen
Degree=Cmp|Number=Sing	neueren	neuere, neueren, neuerer	neuere, neueres
Degree=Cmp|Number=Plur		Neuere	Neuere
Degree=Sup|Number=Sing	neuesten	neueste, neuester, neuesten, neusten	neueste, neuestes, neuesten
Degree=Sup|Number=Plur		neueste

PRON

44113 PRON tokens (47% of all PRON tokens) have a non-empty value of Gender.

The most frequent other feature values with which PRON and Gender co-occurred: Number=Sing (44113; 100%), Reflex=EMPTY (44113; 100%), Case=Nom (34207; 78%), Person=3 (22812; 52%), PronType=Prs (22810; 52%).

PRON tokens may have the following values of Gender:

• Fem (8545; 19% of non-empty Gender): die, sie, der, ihr, derer, Deren, er/sie
• Masc (11303; 26% of non-empty Gender): er, der, dem, den, ihn, ihm, dessen, die/der
• Neut (24265; 55% of non-empty Gender): es, das, was, dem, nichts, etwas, ihm, ‘s, dessen, s
• EMPTY (50734): sich, die, man, sie, wir, wer, denen, ich, deren, uns

Paradigm der	Masc	Fem	Neut
Abbr=Yes|Case=Nom			d.
Case=Acc	den	die	das
Case=Dat	dem	der	dem
Case=Gen	dessen	derer, Deren	dessen
Case=Nom	der	die	das
Case=Nom|Typo=Yes			da

Gender seems to be lexical feature of PRON. 93% lemmas (13) occur only with one value of Gender.

PROPN

27734 PROPN tokens (14% 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 (27723; 100%), Case=EMPTY (25062; 90%).

PROPN tokens may have the following values of Gender:

• Fem (15265; 55% of non-empty Gender): Telekom, c’t, Europa, AMD, Sun, Telecom, T-Online, Bertelsmann, dpa, Viag
• Masc (12440; 45% of non-empty Gender): Bill, Warner, Michael, Thomas, Steve, Ron, John, Jackson, Gerhard, Peter
• Neut (29; 0% of non-empty Gender): AppleStore, PowerBooks, KurzFilmFestival, PowerBook, RealVideo, BusinessCall, Deutschland, FeRAMs, G3-PowerBook, InternetTeam
• EMPTY (166205): Microsoft, Deutschland, Intel, USA, AOL, ibm, telepolis, Apple, Linux, Windows

Paradigm Nylis	Masc	Fem
	Nylis	Nylis

Gender seems to be lexical feature of PROPN. 100% lemmas (1583) occur only with one value of Gender.

ADV

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

The most frequent other feature values with which ADV and Gender co-occurred: PronType=Ind (187; 99%).

ADV tokens may have the following values of Gender:

• Fem (1; 1% of non-empty Gender): meiste
• Masc (2; 1% of non-empty Gender): meisten
• Neut (185; 98% of non-empty Gender): mehr, weniger, erstenmal, meiste
• EMPTY (196405): auch, noch, nur, so, aber, bereits, mehr, allerdings, damit, schon

Paradigm meist	Masc	Fem	Neut
Case=Acc	meisten
		meiste	meiste

X

178 X tokens (0% 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=Yes (178; 100%).

X tokens may have the following values of Gender:

• Neut (178; 100% of non-empty Gender): Inc., Corp.
• EMPTY (53513): of, internet, the, and, digital, mobile, media, for, OS, network

NUM

26 NUM tokens (0% 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 (26; 100%), Number=Sing (26; 100%).

NUM tokens may have the following values of Gender:

• Fem (16; 62% of non-empty Gender): eine, einer
• Masc (3; 12% of non-empty Gender): einem, einen
• Neut (7; 27% of non-empty Gender): ein, einem
• EMPTY (71282): zwei, 2000, drei, 2001, 1999, vier, fünf, 20, 100, 30

Paradigm ein	Masc	Fem	Neut
Case=Acc	einen	eine	ein
Case=Dat	einem	einer	einem
Case=Nom		eine	ein

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[det]–> DET (297197; 67%), DET –[nmod]–> NOUN (1262; 65%), ADJ –[conj]–> ADJ (592; 77%), NOUN –[expl]–> PRON (251; 61%), DET –[conj]–> NOUN (50; 52%), DET –[conj]–> DET (44; 54%), DET –[nsubj]–> PRON (44; 54%), DET –[det]–> PRON (35; 100%), PRON –[appos]–> DET (31; 97%), ADJ –[det]–> PRON (29; 97%).

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