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Treebank Statistics: UD_French-Sequoia: Features: Gender

This feature is universal. It occurs with 2 different values: Fem, Masc.

27934 tokens (40%) have a non-empty value of Gender. 6152 types (65%) occur at least once with a non-empty value of Gender. 4403 lemmas (65%) occur at least once with a non-empty value of Gender. The feature is used with 8 part-of-speech tags: NOUN (14522; 21% instances), DET (5864; 8% instances), ADJ (2999; 4% instances), VERB (2195; 3% instances), PROPN (1433; 2% instances), PRON (910; 1% instances), AUX (10; 0% instances), NUM (1; 0% instances).

NOUN

14522 NOUN tokens (95% 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 (10300; 71%).

NOUN tokens may have the following values of Gender:

• Fem (6882; 47% of non-empty Gender): affaire, bivalirudine, commission, perfusion, administration, solution, dose, étude, fois, union
• Masc (7640; 53% of non-empty Gender): %, patients, mg, ans, cas, traitement, président, effets, M., cours
• EMPTY (697): enfants, HLM, ICP, D, collègues, ACT, °C, B, intermédiaires, responsables

Paradigm patient	Masc	Fem
Number=Sing	patient	patiente
Number=Sing|Typo=Yes	patient
Number=Plur	patients	patientes

Gender seems to be lexical feature of NOUN. 99% lemmas (2731) occur only with one value of Gender.

DET

5864 DET tokens (56% 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 (5820; 99%), PronType=Art (5358; 91%), Definite=Def (4064; 69%).

DET tokens may have the following values of Gender:

• Fem (2762; 47% of non-empty Gender): la, une, cette, sa, aucune, certaines, toute, ma, quelles, toutes
• Masc (3102; 53% of non-empty Gender): le, un, ce, cet, aucun, tout, du, certains, quel, tous
• EMPTY (4533): les, l’, des, son, ces, ses, votre, de, leur, d’

Paradigm le	Masc	Fem
Definite=Def|ExtPos=ADV|PronType=Art	le
Definite=Def|ExtPos=PRON|PronType=Art	le
Definite=Def|PronType=Art	le, l'	la, l'
Definite=Def|PronType=Art|Typo=Yes	le
	Le

ADJ

2999 ADJ tokens (68% of all ADJ tokens) have a non-empty value of Gender.

The most frequent other feature values with which ADJ and Gender co-occurred: Number=Sing (1963; 65%).

ADJ tokens may have the following values of Gender:

• Fem (1377; 46% of non-empty Gender): européenne, première, rénale, française, toutes, nouvelle, intraveineuse, nationale, seule, osseuse
• Masc (1622; 54% of non-empty Gender): français, tous, ancien, osseux, zolédronique, premier, nombreux, dernier, compris, faux
• EMPTY (1403): autres, indésirables, autre, politique, même, clinique, politiques, cliniques, deuxième, jeune

Paradigm tout	Masc	Fem
Number=Sing	tout	toute
Number=Plur	tous	toutes

VERB

2195 VERB tokens (37% 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 (2195; 100%), Person=EMPTY (2195; 100%), Tense=Past (2195; 100%), VerbForm=Part (2195; 100%), Number=Sing (1536; 70%), Voice=Pass (1476; 67%).

VERB tokens may have the following values of Gender:

• Fem (674; 31% of non-empty Gender): observée, recommandée, administrée, destinée, maintenue, menée, rapportées, traitées, versées, liée
• Masc (1521; 69% of non-empty Gender): mis, eu, traités, utilisé, atteints, administré, reçu, pris, fait, présenté
• EMPTY (3691): doit, voir, a, peut, doivent, faire, faut, est, peuvent, concernant

Paradigm devoir	Masc	Fem
Number=Sing	dû, du
Number=Plur|Voice=Pass		dues

PROPN

1433 PROPN tokens (44% 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 (1399; 98%).

PROPN tokens may have the following values of Gender:

• Fem (383; 27% of non-empty Gender): France, Paget, Europe, Christine, Denise, Afrique, Chine, Jean, Blanche, Société
• Masc (1050; 73% of non-empty Gender): paris, Jacques, Chirac, Taïwan, Michel, Hauts-de-Seine, Didier, Alain, Maupas, François
• EMPTY (1828): Aclasta, Angiox, RPR, Halphen, Jean-Claude, Méry, Schuller, Thomson, Francis, Éric

Paradigm Jean	Masc	Fem
	Jean	Jean

Gender seems to be lexical feature of PROPN. 100% lemmas (436) occur only with one value of Gender.

PRON

910 PRON tokens (32% 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 (904; 99%), Person=3 (861; 95%), Number=Sing (751; 83%), PronType=Prs (666; 73%).

PRON tokens may have the following values of Gender:

• Fem (183; 20% of non-empty Gender): elle, laquelle, elles, la, lesquelles, une, celle-ci, celles, celle, chacune
• Masc (727; 80% of non-empty Gender): il, ce, ils, un, le, -il, lui, eux, ceux, lequel
• EMPTY (1898): qui, nous, se, je, s’, vous, y, que, c’, dont

Paradigm lui	Masc	Fem
ExtPos=ADP	il
ExtPos=ADV	il
	il, le, -il, lui, -t-il	elle, la, -elle, -t-elle

AUX

10 AUX tokens (0% 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 (10; 100%), Number=Sing (10; 100%), Person=EMPTY (10; 100%), Tense=Past (10; 100%), VerbForm=Part (10; 100%).

AUX tokens may have the following values of Gender:

• Masc (10; 100% of non-empty Gender): fait
• EMPTY (2309): est, a, été, ont, être, sont, était, avait, avoir, sera

NUM

1 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 (1; 100%).

NUM tokens may have the following values of Gender:

• Masc (1; 100% of non-empty Gender): neuf
• EMPTY (1776): deux, 5, trois, 2, 2006, 10, 1, 30, 3, 4

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[det]–> DET (5309; 57%), NOUN –[amod]–> ADJ (2456; 67%), NOUN –[acl]–> VERB (629; 63%), NOUN –[conj]–> NOUN (569; 55%), VERB –[nsubj:pass]–> NOUN (351; 86%), PROPN –[det]–> DET (228; 58%), NOUN –[appos]–> NOUN (132; 55%), VERB –[conj]–> VERB (104; 52%), ADJ –[nsubj]–> NOUN (81; 62%), PROPN –[conj]–> PROPN (79; 56%).

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