Gender: gender
In English, Gender is marked only on 3rd-person personal pronouns.
Masc: masculine gender
- he, his, him, himself
Fem: feminine gender
- she, her, hers, herself
Neut: neuter gender
- it, its, itself
Treebank Statistics (UD_English)
This feature is universal.
It occurs with 3 different values: Fem, Masc, Neut.
4430 tokens (2%) have a non-empty value of Gender.
22 types (0%) occur at least once with a non-empty value of Gender.
7 lemmas (0%) occur at least once with a non-empty value of Gender.
The feature is used with 1 part-of-speech tags: en-pos/PRON (4430; 2% instances).
PRON
4430 en-pos/PRON tokens (21% 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 (4430; 100%), Person=3 (4430; 100%), PronType=Prs (4430; 100%), Poss=EMPTY (3699; 83%), Case=Nom (2620; 59%).
PRON tokens may have the following values of Gender:
Fem(538; 12% of non-emptyGender): she, her, herselfMasc(1619; 37% of non-emptyGender): he, his, him, himselfNeut(2273; 51% of non-emptyGender): it, its, itselfEMPTY(16365): i, you, they, my, we, that, your, me, this, their
Treebank Statistics (UD_English-ParTUT)
This feature is universal.
It occurs with 2 different values: Fem, Masc.
527 tokens (1%) have a non-empty value of Gender.
138 types (2%) occur at least once with a non-empty value of Gender.
122 lemmas (2%) occur at least once with a non-empty value of Gender.
The feature is used with 4 part-of-speech tags: en-pos/NOUN (325; 1% instances), en-pos/PRON (195; 1% instances), en-pos/DET (5; 0% instances), en-pos/ADJ (2; 0% instances).
NOUN
325 en-pos/NOUN tokens (4% 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 (246; 76%).
NOUN tokens may have the following values of Gender:
Fem(120; 37% of non-emptyGender): women, Madam, Mrs, policymakers, wellbeing, additionality, bardolatry, codependency, cynicism, financializationMasc(205; 63% of non-emptyGender): Mr, men, king, man, crisis, child, children, mosquito, genius, myceliumEMPTY(7689): work, time, Commission, Parliament, President, growth, plays, years, countries, people
Gender seems to be lexical feature of NOUN. 100% lemmas (111) occur only with one value of Gender.
PRON
195 en-pos/PRON tokens (13% 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 (195; 100%), Person=3 (193; 99%), PronType=Prs (193; 99%).
PRON tokens may have the following values of Gender:
Fem(17; 9% of non-emptyGender): she, her, oneMasc(178; 91% of non-emptyGender): he, him, himself, NothingEMPTY(1303): it, that, which, I, we, they, you, this, who, them
DET
5 en-pos/DET tokens (0% 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 (5; 100%), Poss=EMPTY (4; 80%), PronType=Art (4; 80%), Definite=Def (3; 60%).
DET tokens may have the following values of Gender:
Fem(5; 100% of non-emptyGender): la, une, maEMPTY(4010): the, a, his, this, an, their, its, any, these, our
ADJ
2 en-pos/ADJ tokens (0% 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=EMPTY (2; 100%).
ADJ tokens may have the following values of Gender:
Fem(1; 50% of non-emptyGender): sentimentaleMasc(1; 50% of non-emptyGender): PerduEMPTY(3037): other, first, new, European, economic, social, financial, many, own, same
Gender in other languages: [am] [ar] [bg] [bxr] [ca] [ckb] [cop] [cs] [cu] [da] [de] [el] [en] [es] [et] [eu] [fa] [fo] [fr] [ga] [gl] [got] [grc] [he] [hi] [hr] [hu] [id] [it] [ja] [kk] [kmr] [ko] [la] [lv] [mr] [nl] [no] [pl] [pt] [ro] [ru] [sa] [sk] [sla] [sl] [so] [sr] [sv] [swl] [ta] [tr] [u] [ug] [uk] [ur] [vi] [yue] [zh]