Gender: gender
This document is a placeholder for the language-specific documentation
for Gender.
Treebank Statistics (UD_Latvian)
This feature is universal.
It occurs with 2 different values: Fem, Masc.
10173 tokens (49%) have a non-empty value of Gender.
4875 types (77%) occur at least once with a non-empty value of Gender.
2769 lemmas (71%) occur at least once with a non-empty value of Gender.
The feature is used with 8 part-of-speech tags: NOUN (6237; 30% instances), PROPN (1186; 6% instances), ADJ (962; 5% instances), VERB (778; 4% instances), PRON (412; 2% instances), DET (391; 2% instances), NUM (130; 1% instances), SCONJ (77; 0% instances).
NOUN
6237 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: Number=Sing (4384; 70%).
NOUN tokens may have the following values of Gender:
Fem(3234; 52% of non-emptyGender): valsts, finanšu, pašvaldības, bibliotēkas, valdes, grāmatas, degvielas, padomes, Dienas, apsaimniekošanasMasc(3003; 48% of non-emptyGender): gada, gadā, atkritumu, latu, uzņēmuma, laikā, datu, uzņēmums, gadu, projektuEMPTY(2): FOTO, postpadomju
| Paradigm būvkompānija | Masc | Fem |
|---|---|---|
| Case=Acc|Number=Sing | būvkompāniju | |
| Case=Gen|Number=Plur | Būvkompāniju | būvkompāniju |
Gender seems to be lexical feature of NOUN. 100% lemmas (1570) occur only with one value of Gender.
PROPN
1186 PROPN tokens (75% 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 (1155; 97%).
PROPN tokens may have the following values of Gender:
Fem(635; 54% of non-emptyGender): Latvijas, Latvijā, Eiropas, Rīgas, Jelgavas, Rīga, Baltijas, Rīgā, LETA, LatvijaMasc(551; 46% of non-emptyGender): Andris, Vilks, Ģirts, Kuplais, Grūtupa, Latvenergo, Ziedonis, Jānis, Andra, BērziņšEMPTY(390): Lattelecom, SIA, ZAAO, Pillar, LETA, AS, IKP, IMS, DUS, UNESCO
| Paradigm Seisums | Masc | Fem |
|---|---|---|
| Case=Gen | Seisuma | |
| Case=Nom | Seisuma |
Gender seems to be lexical feature of PROPN. 100% lemmas (424) occur only with one value of Gender.
ADJ
962 ADJ tokens (81% of all ADJ tokens) have a non-empty value of Gender.
The most frequent other feature values with which ADJ and Gender co-occurred: NumType=EMPTY (924; 96%), Degree=Pos (864; 90%), Number=Sing (640; 67%).
ADJ tokens may have the following values of Gender:
Fem(465; 48% of non-emptyGender): nacionālās, jaunās, sabiedrisko, lielu, otrās, reģionālās, Nacionālā, augstas, jauno, jaunuMasc(497; 52% of non-emptyGender): galvenais, papildu, lielākajiem, nekustamā, jauna, liels, lielākie, pirmais, tuvākajā, dažāduEMPTY(222): 2012., 2011., 2013., 2010., 11., 6., 13., 15., 2014., 7.
| Paradigm liela | Masc | Fem |
|---|---|---|
| Case=Acc|Degree=Pos|Number=Sing | lielu | lielu |
| Case=Acc|Degree=Pos|Number=Plur | lielas | |
| Case=Acc|Degree=Cmp|Number=Sing | lielāko | |
| Case=Dat|Degree=Cmp|Number=Sing | lielākajai | |
| Case=Loc|Degree=Pos|Number=Sing | lielajā | |
| Case=Nom|Degree=Pos|Number=Sing | liela | |
| Case=Nom|Degree=Pos|Number=Plur | lielas | |
| Case=Nom|Degree=Cmp|Number=Sing | lielākā, lielāka |
Gender seems to be lexical feature of ADJ. 99% lemmas (386) occur only with one value of Gender.
VERB
778 VERB tokens (26% 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 (778; 100%), Negative=EMPTY (778; 100%), Person=EMPTY (778; 100%), VerbForm=Part (777; 100%), Degree=Pos (776; 100%), Tense=Past (667; 86%), Aspect=Perf (667; 86%), Voice=EMPTY (667; 86%), Definite=Ind (586; 75%), Case=Nom (585; 75%).
VERB tokens may have the following values of Gender:
Fem(287; 37% of non-emptyGender): izlietojusi, attīstīta, pieejama, celta, iesaistītajām, izdotas, izteikta, konstatējusi, konstatēta, veiktaMasc(491; 63% of non-emptyGender): bijis, dibināts, saņēmis, ziņots, saistīts, paredzēts, plānots, aizgājis, beidzis, dzimisEMPTY(2161): ir, bija, nav, būs, varētu, tika, tiek, būtu, tiks, notiek
| Paradigm būt | Masc | Fem |
|---|---|---|
| Aspect=Imp|Case=Acc|Definite=Def|Number=Sing|Tense=Pres|Voice=Pass | esošo | |
| Aspect=Imp|Case=Acc|Definite=Def|Number=Plur|Tense=Pres|Voice=Pass | esošos | |
| Aspect=Imp|Case=Dat|Definite=Ind|Number=Plur|Tense=Pres|Voice=Pass | esošiem | |
| Aspect=Imp|Case=Gen|Definite=Def|Number=Plur|Tense=Pres|Voice=Pass | esošo | |
| Aspect=Imp|Case=Loc|Definite=Ind|Number=Plur|Tense=Pres|Voice=Pass | esošās | |
| Aspect=Imp|Case=Nom|Definite=Def|Number=Sing|Tense=Pres|Voice=Pass | esošais | esošā |
| Aspect=Perf|Case=Acc|Definite=Def|Number=Sing|Tense=Past | bijušo | |
| Aspect=Perf|Case=Nom|Definite=Ind|Number=Sing|Tense=Past | bijis | bijusi |
| Aspect=Perf|Case=Nom|Definite=Ind|Number=Plur|Tense=Past | bijuši | bijušas |
PRON
412 PRON tokens (73% 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 (333; 81%), Person=EMPTY (324; 79%), PronType=Dem (233; 57%), Case=Nom (210; 51%).
PRON tokens may have the following values of Gender:
Fem(84; 20% of non-emptyGender): tā, tās, kāda, to, kādas, viņa, viņas, kādā, tai, tādaMasc(328; 80% of non-emptyGender): tas, to, viņš, viņa, tam, viss, viņi, viņu, tie, viņamEMPTY(153): es, kas, ko, mēs, man, mums, jūs, jums, mūsu, sev
Gender seems to be lexical feature of PRON. 100% lemmas (31) occur only with one value of Gender.
DET
391 DET tokens (100% of all DET tokens) have a non-empty value of Gender.
The most frequent other feature values with which DET and Gender co-occurred: Poss=EMPTY (351; 90%), Number=Sing (248; 63%), PronType=Dem (201; 51%).
DET tokens may have the following values of Gender:
Fem(172; 44% of non-emptyGender): šo, šīs, šāda, savu, visas, šī, tās, šajā, citām, kādasMasc(219; 56% of non-emptyGender): šo, tā, šis, šī, savu, to, šajā, cits, citus, tādsEMPTY(1): kā
| Paradigm sava | Masc | Fem |
|---|---|---|
| Case=Acc|Number=Sing | savu | |
| Case=Acc|Number=Plur | savas | |
| Case=Loc|Number=Sing | savā | savā |
| Case=Loc|Number=Plur | Savās |
Gender seems to be lexical feature of DET. 95% lemmas (37) occur only with one value of Gender.
NUM
130 NUM tokens (31% 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 (130; 100%), Number=Plur (72; 55%).
NUM tokens may have the following values of Gender:
Fem(45; 35% of non-emptyGender): viena, trīs, divas, divām, vienai, vienas, vienu, vienā, divu, piecāmMasc(85; 65% of non-emptyGender): viens, trīs, vienu, tūkstošiem, četri, deviņos, divi, diviem, otrs, pieciEMPTY(294): 000, 25, 1, 3, 50, desmit, 20, 200, 8000, 11
| Paradigm viena | Masc | Fem |
|---|---|---|
| Case=Acc | vienu | |
| Case=Dat | vienai | |
| Case=Gen | vienas | |
| Case=Loc | vienā | vienā |
| Case=Nom | viena |
SCONJ
77 SCONJ tokens (13% of all SCONJ tokens) have a non-empty value of Gender.
The most frequent other feature values with which SCONJ and Gender co-occurred: PronType=Rel (77; 100%), Number=Sing (44; 57%).
SCONJ tokens may have the following values of Gender:
Fem(29; 38% of non-emptyGender): kuras, kurā, kuru, kurām, kurai, kurās, kura, kādaMasc(48; 62% of non-emptyGender): kuriem, kurš, kuri, kuru, kurā, kuram, kura, kāds, kuros, kurusEMPTY(511): ka, kas, kā, lai, jo, ja, nekā, vai, ko, gan
Relations with Agreement in Gender
The 10 most frequent relations where parent and child node agree in Gender:
NOUN –[nmod]–> NOUN (1232; 54%),
NOUN –[amod]–> ADJ (776; 79%),
NOUN –[det]–> DET (354; 95%),
NOUN –[conj]–> NOUN (259; 66%),
PROPN –[name]–> PROPN (226; 97%),
NOUN –[amod]–> VERB (225; 97%),
VERB –[nsubjpass]–> NOUN (156; 97%),
PROPN –[nmod]–> NOUN (149; 74%),
NOUN –[acl]–> NOUN (90; 53%),
PROPN –[conj]–> PROPN (63; 62%).
Gender in other languages: [bg] [cs] [de] [el] [en] [es] [eu] [fa] [fr] [ga] [he] [hu] [it] [ja] [ko] [sv] [u]