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Treebank Statistics: UD_Czech-Poetry: 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].

2746 tokens (44%) have a non-empty value of Gender. 2009 types (75%) occur at least once with a non-empty value of Gender. 1380 lemmas (72%) occur at least once with a non-empty value of Gender. The feature is used with 8 part-of-speech tags: NOUN (1466; 23% instances), ADJ (595; 9% instances), VERB (240; 4% instances), DET (223; 4% instances), PRON (110; 2% instances), PROPN (84; 1% instances), AUX (18; 0% instances), NUM (10; 0% instances).

NOUN

1466 NOUN tokens (100% of all NOUN tokens) have a non-empty value of Gender.

The most frequent other feature values with which NOUN and Gender co-occurred: Polarity=Pos (1462; 100%), Number=Sing (1047; 71%), Animacy=EMPTY (830; 57%).

NOUN tokens may have the following values of Gender:

• Fem (598; 41% of non-empty Gender): duše, duši, chvíli, země, duší, lásky, ruka, tvář, vůní, zář
• Masc (636; 43% of non-empty Gender): den, svět, boha, bože, bůh, květ, člověk, bohy, oheň, sen
• Neut (232; 16% of non-empty Gender): žití, oči, srdce, štěstí, nebes, těla, dítě, jaro, moře, očima

Paradigm oko	Fem	Neut
Case=Acc|Number=Plur		oči
Case=Gen|Number=Plur	očí	očí
Case=Ins|Number=Sing		okem
Case=Ins|Number=Dual		očima
Case=Loc|Number=Sing		oku
Case=Nom|Number=Sing		oko
Case=Nom|Number=Plur		oči

Gender seems to be lexical feature of NOUN. 99% lemmas (727) occur only with one value of Gender.

ADJ

595 ADJ tokens (100% of all ADJ tokens) have a non-empty value of Gender.

The most frequent other feature values with which ADJ and Gender co-occurred: Polarity=Pos (572; 96%), Aspect=EMPTY (534; 90%), Degree=Pos (502; 84%), Voice=EMPTY (494; 83%), VerbForm=EMPTY (493; 83%), Number=Sing (425; 71%), Animacy=EMPTY (365; 61%).

ADJ tokens may have the following values of Gender:

• Fem (260; 44% of non-empty Gender): bílé, jiné, nové, tmavou, věčné, černá, Vyloupena, Zsinalá, bledá, kalná
• Masc (248; 42% of non-empty Gender): celý, plný, bílý, kamenném, tvrdém, věrni, Mnohý, Pozdní, divoké, jiní
• Neut (87; 15% of non-empty Gender): nesmírném, pozlátkové, smilnící, tichém, umdlená, věčné, Astartiných, Lepší, Oněmlé, bledé
• EMPTY (2): aj, marně

Paradigm tichý	Masc	Fem	Neut
Animacy=Anim|Case=Gen|Number=Plur	tichých
Animacy=Inan|Case=Acc|Number=Sing	tichý
Animacy=Inan|Case=Nom|Number=Sing	tichý
Case=Acc|Number=Sing		tichou
Case=Ins|Number=Sing		tichou
Case=Loc|Number=Sing		tiché	tichém
Case=Nom|Number=Sing			tiché
Case=Nom|Number=Plur		tiché

VERB

240 VERB tokens (32% of all VERB tokens) have a non-empty value of Gender.

The most frequent other feature values with which VERB and Gender co-occurred: Mood=EMPTY (239; 100%), Person=EMPTY (239; 100%), Voice=Act (236; 98%), Tense=Past (233; 97%), VerbForm=Part (232; 97%), Polarity=Pos (226; 94%), Number=Sing (191; 80%), Aspect=Imp (129; 54%).

VERB tokens may have the following values of Gender:

• Fem (62; 26% of non-empty Gender): Rozhučela, povylétla, rozlívala, vzrostla, Krákorala, Spadaly, Zavedla, Zřídila, bila, blyskla
• Masc (168; 70% of non-empty Gender): měl, chtěl, poznali, viděl, ctil, šel, cítil, dal, klečel, kmital
• Neut (10; 4% of non-empty Gender): nezaneslo, nezřely, přešlo, přihodilo, sila, svitlo, vyschla, zklamalo, zrálo, zůstaly
• EMPTY (503): jdou, letí, chce, jde, zdá, chcem, hledá, mám, stojí, vím

Paradigm zůstat	Masc	Fem	Neut
Animacy=Anim	zůstali
		zůstaly	zůstaly

Gender seems to be lexical feature of VERB. 93% lemmas (165) occur only with one value of Gender.

DET

223 DET tokens (77% 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 (177; 79%), Number[psor]=EMPTY (177; 79%), Person=EMPTY (176; 79%), Animacy=EMPTY (172; 77%), Reflex=EMPTY (172; 77%), Poss=EMPTY (128; 57%).

DET tokens may have the following values of Gender:

• Fem (76; 34% of non-empty Gender): tvé, své, té, svou, ta, moje, která, mou, naší, tvou
• Masc (78; 35% of non-empty Gender): náš, ten, ti, každý, svůj, sám, které, všechny, žádné, její
• Neut (69; 31% of non-empty Gender): to, tom, ty, své, vše, vším, svá, svého, tvé, tím
• EMPTY (66): jeho, jejich, svých, jich, tolika, těm, Ti, svoje, tolik, tvých

Paradigm ten	Masc	Fem	Neut
Animacy=Anim|Case=Dat|Number=Plur	těm
Animacy=Anim|Case=Gen|Number=Sing	toho
Animacy=Anim|Case=Nom|Number=Plur	ti
Animacy=Inan|Case=Acc|Number=Sing	ten, sěn
Case=Acc|Number=Sing		tu	to
Case=Acc|Number=Plur		ty	ta
Case=Dat|Number=Sing		té	tomu
Case=Gen|Number=Sing		té
Case=Ins|Number=Sing			tím
Case=Loc|Number=Sing		té	tom
Case=Nom|Number=Sing	ten	ta	to
Case=Nom|Number=Plur		Ty	ty

PRON

110 PRON tokens (29% 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 (110; 100%), Variant=EMPTY (100; 91%), Number=Sing (86; 78%), Animacy=EMPTY (63; 57%), Person=EMPTY (56; 51%).

PRON tokens may have the following values of Gender:

• Fem (37; 34% of non-empty Gender): jež, jí, ji, níž, ni, Vlasti, je, již, nich, ní
• Masc (66; 60% of non-empty Gender): jenž, mu, jež, ho, jej, kdo, ním, Němu, jemu, nikdo
• Neut (7; 6% of non-empty Gender): jež, všecko, ním, něco, všecka
• EMPTY (271): se, co, mi, si, já, ty, tě, tobě, nás, ti

Paradigm on	Masc	Fem	Neut
Animacy=Anim|Case=Acc|Number=Sing|Person=3|PrepCase=Npr	jej
Animacy=Anim|Case=Acc|Number=Sing|Person=3|Variant=Short	ho
Animacy=Anim|Case=Acc|Number=Sing|PrepCase=Pre	něj
Animacy=Anim|Case=Dat|Number=Sing|Person=3|PrepCase=Npr	jemu, mu
Animacy=Anim|Case=Dat|Number=Sing|Person=3|PrepCase=Pre	Němu
Animacy=Anim|Case=Dat|Number=Sing|Person=3|Variant=Short	mu
Animacy=Anim|Case=Ins|Number=Sing|Person=3|PrepCase=Pre	ním
Animacy=Anim|Case=Nom|Number=Sing|Person=3	On
Animacy=Inan|Case=Gen|Number=Sing|Person=3|PrepCase=Pre	něho
Animacy=Inan|Case=Loc|Number=Sing|Person=3|PrepCase=Pre	něm
Case=Acc|Number=Sing|Person=3|PrepCase=Npr	jej	ji
Case=Acc|Number=Sing|Person=3|PrepCase=Pre	něj	ni
Case=Acc|Number=Sing|Person=3|Variant=Short	ho
Case=Acc|Number=Plur|Person=3|PrepCase=Npr		je
Case=Dat|Number=Sing|Person=3|PrepCase=Npr		jí
Case=Dat|Number=Sing|Person=3|PrepCase=Pre	Němu
Case=Dat|Number=Sing|Person=3|Variant=Short	mu
Case=Gen|Number=Plur|Person=3|PrepCase=Pre		nich
Case=Ins|Number=Sing|Person=3|PrepCase=Npr		Jí
Case=Ins|Number=Sing|Person=3|PrepCase=Pre	ním	ní	ním
Case=Nom|Number=Sing|Person=3	on

PROPN

84 PROPN tokens (100% of all PROPN tokens) have a non-empty value of Gender.

The most frequent other feature values with which PROPN and Gender co-occurred: Polarity=Pos (84; 100%), Number=Sing (73; 87%), Animacy=Anim (44; 52%).

PROPN tokens may have the following values of Gender:

• Fem (27; 32% of non-empty Gender): Magdaleno, Maria, Svitava, Vltavy, Evy, Francii, Golgatu, Lůnou, Madonny, Panno
• Masc (55; 65% of non-empty Gender): Armand, Sion, Angelico, Armandovi, Azték, Bajušáku, Baudelaira, Chodováci, Diderota, Dudákovi
• Neut (2; 2% of non-empty Gender): Labe

Gender seems to be lexical feature of PROPN. 100% lemmas (69) occur only with one value of Gender.

AUX

18 AUX tokens (13% of all AUX tokens) have a non-empty value of Gender.

The most frequent other feature values with which AUX and Gender co-occurred: Aspect=Imp (18; 100%), Mood=EMPTY (18; 100%), Person=EMPTY (18; 100%), Tense=Past (18; 100%), VerbForm=Part (18; 100%), Voice=Act (18; 100%), Polarity=Pos (17; 94%), Number=Sing (15; 83%).

AUX tokens may have the following values of Gender:

• Fem (4; 22% of non-empty Gender): Nebyla, byla, byly, bývaly
• Masc (9; 50% of non-empty Gender): byl, byli, jsi
• Neut (5; 28% of non-empty Gender): bylo
• EMPTY (116): je, by, jsem, jste, jest, jsi, jsou, budeš, bude, bych

Paradigm být	Masc	Fem	Neut
Animacy=Anim|Number=Sing|Polarity=Pos	byl
Animacy=Anim|Number=Plur|Polarity=Pos	byli
Number=Sing|Polarity=Neg		Nebyla
Number=Sing|Polarity=Pos	byl, jsi	byla	bylo
Number=Plur|Polarity=Pos		byly

NUM

10 NUM tokens (56% of all NUM tokens) have a non-empty value of Gender.

The most frequent other feature values with which NUM and Gender co-occurred: NumForm=Word (10; 100%), NumType=Card (10; 100%), Number=Sing (9; 90%), Case=Nom (6; 60%).

NUM tokens may have the following values of Gender:

• Fem (3; 30% of non-empty Gender): jedna, jednou, jedné
• Masc (6; 60% of non-empty Gender): jeden, dva
• Neut (1; 10% of non-empty Gender): jednom
• EMPTY (8): dvé, 80, Deset, dvacet, obou, tisícem, šesti

Paradigm jeden	Masc	Fem	Neut
Animacy=Anim|Case=Nom	jeden
Case=Gen		jedné
Case=Ins		jednou
Case=Loc			jednom
Case=Nom	jeden	jedna

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[amod]–> ADJ (409; 96%), NOUN –[det]–> DET (142; 74%), ADJ –[conj]–> ADJ (41; 95%), VERB –[conj]–> VERB (34; 59%), VERB –[nsubj]–> PROPN (14; 74%), ADJ –[nsubj]–> NOUN (9; 100%), PROPN –[amod]–> ADJ (9; 100%), PROPN –[flat]–> PROPN (9; 90%), ADJ –[nsubj:pass]–> NOUN (8; 100%), NOUN –[dep]–> ADJ (8; 100%).

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