home edit page issue tracker

Treebank Statistics: UD_Upper_Sorbian-UFAL: 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].

4917 tokens (44%) have a non-empty value of Gender. 3298 types (76%) occur at least once with a non-empty value of Gender. 2112 lemmas (69%) occur at least once with a non-empty value of Gender. The feature is used with 9 part-of-speech tags: NOUN (2521; 23% instances), ADJ (1381; 12% instances), PROPN (539; 5% instances), DET (269; 2% instances), PRON (120; 1% instances), VERB (48; 0% instances), NUM (36; 0% instances), AUX (2; 0% instances), ADV (1; 0% instances).

NOUN

2521 NOUN tokens (99% 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 (1684; 67%), Animacy=EMPTY (1380; 55%).

NOUN tokens may have the following values of Gender:

• Fem (930; 37% of non-empty Gender): l, rěč, woda, rěčow, stolica, rostliny, wody, rěče, knihi, biblioteki
• Masc (1143; 45% of non-empty Gender): př, kilometrow, nastawki, kraja, lěttysaca, čas, institut, stat, wobraz, časa
• Neut (448; 18% of non-empty Gender): město, lěta, lěće, mócnarstwo, pismo, słowo, lět, města, hospodarstwo, knjejstwa
• EMPTY (16): km, m, CEST, droždźemi, duri, hodź, jan, thumb

Paradigm dataja	Fem	Neut
Case=Acc	dataje, daty	daty
Case=Gen		datow

Gender seems to be lexical feature of NOUN. 99% lemmas (1012) occur only with one value of Gender.

ADJ

1381 ADJ tokens (97% of all ADJ tokens) have a non-empty value of Gender.

The most frequent other feature values with which ADJ and Gender co-occurred: Animacy=EMPTY (1216; 88%), Voice=EMPTY (1198; 87%), VerbForm=EMPTY (1197; 87%), Number=Sing (884; 64%), Degree=EMPTY (870; 63%).

ADJ tokens may have the following values of Gender:

• Fem (555; 40% of non-empty Gender): serbskeje, druhe, wulku, serbska, wotpowědne, dalše, druhich, hornjej, kruta, němskej
• Masc (581; 42% of non-empty Gender): serbski, prěni, Serbskeho, wulki, Ekscelentny, Serbskim, Třećeho, Zjednoćenych, ablawtowych, cyłym
• Neut (245; 18% of non-empty Gender): najwjetše, wulke, klinowe, wuznamne, prěnje, Kaspiske, Kaspiskeho, aktualne, běłe, dołhe
• EMPTY (38): němsko, Awstro, Planowane, Tibeto, al, d, dołho, druhich, duchowno, hornjo

Paradigm serbski	Masc	Fem	Neut
Animacy=Inan|Case=Acc|Degree=Pos|Number=Dual	serbskej
Case=Acc|Degree=Pos|Number=Sing	serbski		serbske
Case=Acc|Number=Sing		serbsku
Case=Dat|Number=Sing	serbskemu
Case=Dat|Number=Plur		serbskim
Case=Gen|Degree=Pos|Number=Sing		serbskeje
Case=Gen|Number=Sing	Serbskeho	serbskeje
Case=Gen|Number=Plur	serbskich
Case=Ins|Number=Sing		serbskej, serbsku
Case=Loc|Degree=Pos|Number=Sing	Serbskim
Case=Loc|Number=Sing	Serbskim	serbskej
Case=Nom|Degree=Pos|Number=Sing	Serbski, SERBSKI	serbska
Case=Nom|Number=Sing		serbska
Case=Nom|Number=Plur			serbske

PROPN

539 PROPN tokens (90% 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 (484; 90%).

PROPN tokens may have the following values of Gender:

• Fem (209; 39% of non-empty Gender): Mezopotamiskeje, Mezopotamiska, Mezopotamiskej, Wikimedia, Łužicy, Europje, Assyriska, Němskeje, Wikipedija, Africe
• Masc (281; 52% of non-empty Gender): Sumeričanow, Assur, Aššur, Babylon, Budyšinje, Hammurabi, Jakub, Ur, Akkada, Aramejčanow
• Neut (49; 9% of non-empty Gender): Commons, Esperanto, Nadu, Slepo, Łobjom, Aleppo, Baku, Bangalore, Bengaluru, Esperanće
• EMPTY (57): Aššur, C, Adl, Angeles, Gasche, Los, Tamil, Tlustulimu, Beth, Bilād

Paradigm Institut	Masc	Neut
Animacy=Inan|Case=Acc	Institut
Case=Nom		Institut

Gender seems to be lexical feature of PROPN. 99% lemmas (319) occur only with one value of Gender.

DET

269 DET tokens (83% of all DET tokens) have a non-empty value of Gender.

The most frequent other feature values with which DET and Gender co-occurred: Abbr=EMPTY (234; 87%), Number[psor]=EMPTY (225; 84%), Person=EMPTY (225; 84%), Poss=EMPTY (196; 73%), Animacy=EMPTY (179; 67%), Number=Sing (164; 61%).

DET tokens may have the following values of Gender:

• Fem (125; 46% of non-empty Gender): n, kotraž, kotrež, tuta, swoju, tutej, tutu, tute, kotrejž, někotrych
• Masc (104; 39% of non-empty Gender): kotrež, kotryž, tutón, n, někotři, swoje, tute, tutym, kotrychž, někotre
• Neut (40; 15% of non-empty Gender): kotrež, tute, kóžde, žane, swoje, tajke, twojim, Wobě, kajke, kotrejž
• EMPTY (57): jeho, jich, wjele, jeje, mnoho, n, Někotre, Tutón, Wšě, mjenje

Paradigm kotryž	Masc	Fem	Neut
Animacy=Anim|Case=Dat|Number=Plur	kotrymž
Animacy=Anim|Case=Nom|Number=Sing	kotryž
Animacy=Anim|Case=Nom|Number=Plur	kotřiž
Animacy=Inan|Case=Acc|Number=Sing	kotryž
Animacy=Inan|Case=Gen|Number=Plur	kotrychž
Animacy=Inan|Case=Loc|Number=Plur	kotrychž
Animacy=Inan|Case=Nom|Number=Sing	kotryž, kotrež
Animacy=Inan|Case=Nom|Number=Plur	kotrež
Case=Gen|Number=Sing	kotrehož	kotrejež
Case=Ins|Number=Plur		kotrymiž
Case=Loc|Number=Sing	kotrymž	kotrejž
Case=Loc|Number=Plur		kotrychž	kotrychž
Case=Nom|Number=Sing	kotryž	kotraž	kotrež
Case=Nom|Number=Dual			kotrejž
Case=Nom|Number=Plur	kotrež	kotrež	kotrež

PRON

120 PRON tokens (36% 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 (120; 100%), Number=Sing (109; 91%), Person=EMPTY (71; 59%).

PRON tokens may have the following values of Gender:

• Fem (18; 15% of non-empty Gender): wona, Jej, je, jeje, ju, njej, njeje, nju, wone
• Masc (22; 18% of non-empty Gender): wón, jón, Woni, je, jeho, kiž, nich, nim
• Neut (80; 67% of non-empty Gender): to, toho, tym, wone, wono, čimž, tomu, něšto, štož, nim
• EMPTY (215): so, kiž, je, sej, nam, sobu, ty, Wonej, sebi

Paradigm wón	Masc	Fem	Neut
Animacy=Anim|Case=Nom|Number=Plur	Woni
Animacy=Inan|Case=Acc|Number=Plur	je
Animacy=Nhum|Case=Acc|Number=Sing	jeho
Case=Acc|Number=Sing	jón, jeho	ju, nju
Case=Acc|Number=Plur		je
Case=Dat|Number=Sing		Jej, jeje, njej
Case=Gen|Number=Sing		njeje
Case=Gen|Number=Plur	nich
Case=Ins|Number=Plur			nimi
Case=Loc|Number=Sing	nim		nim
Case=Nom|Number=Sing	wón	wona	wono, wone
Case=Nom|Number=Plur		wone	wone
Number=Sing	jón

VERB

48 VERB tokens (6% 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 (46; 96%), Person=EMPTY (46; 96%), Tense=Past (46; 96%), VerbForm=Part (46; 96%), Number=Sing (30; 63%).

VERB tokens may have the following values of Gender:

• Fem (12; 25% of non-empty Gender): dodźeržała, eksistowali, kontrolowali, móhła, předstaja, přeměniła, přełožili, přistupiła, rostła, stabilizowała
• Masc (30; 63% of non-empty Gender): přewzali, wužiwali, započał, ilustrował, mał, mjenował, měł, nastał, poradźił, poznamjenili
• Neut (6; 13% of non-empty Gender): móhli, poradźiło, předstajili, stali, stało, wočakowało
• EMPTY (770): ma, leži, móže, wobsahuje, móžeš, su, hlej, maja, rěči, běchu

Paradigm předstajić	Masc	Fem	Neut
Animacy=Inan|Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	předstaja
Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin		předstaja
Number=Plur|Tense=Past|VerbForm=Part|Voice=Act			předstajili

NUM

36 NUM tokens (9% 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 (35; 97%).

NUM tokens may have the following values of Gender:

• Fem (12; 33% of non-empty Gender): jedna, jednu, štyri, dwaj, dwě, dwěmaj, miliardow, woběmaj, štyrjoch
• Masc (20; 56% of non-empty Gender): jedyn, dwaj, Mio, dweju, jedneho, jedny, traje, štyrjoch
• Neut (4; 11% of non-empty Gender): dwěmaj, jednym
• EMPTY (346): 2, 1, 6, 4, 3, 5, 7, I, 000, 10

Paradigm jedyn	Masc	Fem	Neut
Animacy=Anim|Case=Nom	jedny, jedyn
Animacy=Inan|Case=Acc	jedyn
Animacy=Inan|Case=Gen	jedneho
Animacy=Inan|Case=Nom	jedyn
Case=Acc	jedyn	jednu
Case=Loc			jednym
Case=Nom	jedyn	jedna

AUX

2 AUX tokens (1% of all AUX tokens) have a non-empty value of Gender.

The most frequent other feature values with which AUX and Gender co-occurred: Mood=EMPTY (2; 100%), Number=Sing (2; 100%), Person=EMPTY (2; 100%), Tense=Past (2; 100%), VerbForm=Part (2; 100%), Voice=Act (2; 100%).

AUX tokens may have the following values of Gender:

• Fem (1; 50% of non-empty Gender): była
• Masc (1; 50% of non-empty Gender): był
• EMPTY (286): je, su, bu, bě, buchu, by, njeje, njejsu, běchu, buštej

Paradigm być	Masc	Fem
	był	była

ADV

1 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: Degree=Pos (1; 100%), PronType=EMPTY (1; 100%).

ADV tokens may have the following values of Gender:

• Fem (1; 100% of non-empty Gender): wuchodne
• EMPTY (534): tež, tak, hišće, zwjetša, hač, něhdźe, hižo, tu, wjace, najprjedy

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[amod]–> ADJ (1048; 96%), NOUN –[det]–> DET (169; 79%), NOUN –[conj]–> NOUN (161; 68%), ADJ –[nsubj]–> NOUN (75; 89%), ADJ –[conj]–> ADJ (62; 97%), PROPN –[conj]–> PROPN (52; 59%), PROPN –[flat]–> PROPN (52; 73%), PROPN –[amod]–> ADJ (41; 95%), PROPN –[nmod]–> NOUN (22; 67%), ADJ –[nsubj]–> DET (21; 95%).

© 2014–2024 Universal Dependencies contributors. Site powered by Annodoc and brat

.