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Treebank Statistics: UD_Romanian-SiMoNERo: Features: Gender

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

69360 tokens (48%) have a non-empty value of Gender. 14781 types (82%) occur at least once with a non-empty value of Gender. 7672 lemmas (72%) occur at least once with a non-empty value of Gender. The feature is used with 8 part-of-speech tags: NOUN (39982; 27% instances), ADJ (16686; 11% instances), DET (6907; 5% instances), VERB (3889; 3% instances), PRON (1065; 1% instances), NUM (416; 0% instances), AUX (402; 0% instances), PROPN (13; 0% instances).

NOUN

39982 NOUN tokens (94% 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 (29256; 73%), Definite=Def (21800; 55%), Case=Nom (20629; 52%).

NOUN tokens may have the following values of Gender:

• Fem (24935; 62% of non-empty Gender): insulină, creșterea, vârsta, cazuri, scăderea, creștere, insulinei, prezența, vârstă, glucoză
• Masc (15047; 38% of non-empty Gender): pacienții, pacienți, ani, nivelul, diabet, risc, cazul, tip, tratamentul, tratament
• EMPTY (2716): mg, IC, vs, HTA, TA, DZ, FA, AVC, dl, EI

Paradigm caz	Masc	Fem
Case=Gen|Definite=Def|Number=Sing	cazului
Case=Gen|Definite=Def|Number=Plur		cazurilor
Case=Nom|Definite=Def|Number=Sing	cazul
Case=Nom|Definite=Def|Number=Plur		cazurile
Definite=Ind|Number=Sing	caz
Definite=Ind|Number=Plur		cazuri

Gender seems to be lexical feature of NOUN. 94% lemmas (4053) occur only with one value of Gender.

ADJ

16686 ADJ tokens (98% 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=Pos (16647; 100%), Definite=Ind (16460; 99%), Number=Sing (11573; 69%), Case=EMPTY (9861; 59%).

ADJ tokens may have the following values of Gender:

• Fem (10849; 65% of non-empty Gender): mare, clinice, cardiacă, cardiace, renală, crescute, cronică, cardiovasculare, renale, crescută
• Masc (5837; 35% of non-empty Gender): vârstnici, crescut, zaharat, mare, important, clinic, vascular, cardiac, lung, normal
• EMPTY (366): mici, mari, precoce, noi, standard, postoperatorii, medii, operatorii, lungi, online

Paradigm mare	Masc	Fem
Case=Gen|Definite=Def|Number=Sing		marii
Case=Gen|Definite=Ind|Number=Sing		mari
Case=Nom|Definite=Def|Number=Sing	Marele	marea
Case=Nom|Definite=Def|Number=Plur		marile
Case=Nom|Definite=Ind|Number=Sing		mare
Definite=Ind|Number=Sing	mare

DET

6907 DET tokens (93% of all DET tokens) have a non-empty value of Gender.

The most frequent other feature values with which DET and Gender co-occurred: Position=EMPTY (5899; 85%), Number=Sing (5606; 81%), Person=EMPTY (5475; 79%), Poss=EMPTY (3896; 56%).

DET tokens may have the following values of Gender:

• Fem (4410; 64% of non-empty Gender): a, o, ale, această, unei, cele, aceste, alte, multe, cea
• Masc (2497; 36% of non-empty Gender): un, al, unui, acest, cel, ai, acești, același, acestui, săi
• EMPTY (517): unor, lor, acestor, orice, lui, celor, fiecare, altor, ei, căror

Paradigm al	Masc	Fem
Number=Sing	al	a
Number=Plur	ai	ale

VERB

3889 VERB tokens (38% 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 (3889; 100%), Person=EMPTY (3889; 100%), Tense=EMPTY (3889; 100%), VerbForm=Part (3889; 100%), Number=Sing (2715; 70%).

VERB tokens may have the following values of Gender:

• Fem (1667; 43% of non-empty Gender): asociată, legate, asociate, diagnosticate, efectuate, folosite, cauzată, considerate, utilizate, utilizată
• Masc (2222; 57% of non-empty Gender): arătat, demonstrat, efectuat, avut, dovedit, constatat, prezentat, tratați, inclus, observat
• EMPTY (6319): poate, pot, are, trebuie, există, au, reprezintă, crește, face, prezintă

Paradigm avea	Masc	Fem
Number=Sing	avut	avută
Number=Plur		avute

PRON

1065 PRON tokens (25% of all PRON tokens) have a non-empty value of Gender.

The most frequent other feature values with which PRON and Gender co-occurred: Person=3 (1065; 100%), Reflex=EMPTY (1065; 100%), Case=Nom (879; 83%), Strength=EMPTY (858; 81%), PronType=Dem (691; 65%), Number=Sing (648; 61%).

PRON tokens may have the following values of Gender:

• Fem (669; 63% of non-empty Gender): ceea, acestea, cea, cele, aceasta, aceea, ele, toate, o, ea
• Masc (396; 37% of non-empty Gender): cei, cel, acesta, aceștia, unul, el, acestuia, îl, ei, l-
• EMPTY (3138): care, se, ce, s-, acestora, celor, își, li, cărora, ne

Paradigm care	Masc	Fem
	căruia	căreia

NUM

416 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: NumForm=Word (381; 92%), NumType=Ord (257; 62%), Number=Plur (210; 50%).

NUM tokens may have the following values of Gender:

• Fem (288; 69% of non-empty Gender): două, prima, ambele, primele, doua, primă, ultima, primei, ultimele, treia
• Masc (128; 31% of non-empty Gender): primul, doilea, ultimii, doi, ultimul, treilea, primii, ultimilor, ultimului, prim
• EMPTY (4189): 2, 1, 3, 4, 5, 30, 10, 20, 6, 15

Paradigm doi	Masc	Fem
	doi	două

Gender seems to be lexical feature of NUM. 92% lemmas (36) occur only with one value of Gender.

AUX

402 AUX tokens (8% 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 (402; 100%), Number=Sing (402; 100%), Person=EMPTY (402; 100%), Tense=EMPTY (402; 100%), VerbForm=Part (402; 100%).

AUX tokens may have the following values of Gender:

• Masc (402; 100% of non-empty Gender): fost, putut
• EMPTY (4556): este, a, au, sunt, fi, fiind, ar, va, fie, am

PROPN

13 PROPN tokens (2% of all PROPN tokens) have a non-empty value of Gender.

PROPN tokens may have the following values of Gender:

• Fem (13; 100% of non-empty Gender): Americii, Americă, Asiei, Europei, Franței, Greciei, României
• EMPTY (704): Graves-Basedow, Doppler, Rubino, Europa, România, Langerhans, Paulescu, Pendred, Britanie, Esnaola

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[amod]–> ADJ (13586; 96%), NOUN –[nmod]–> NOUN (8534; 50%), NOUN –[det]–> DET (5035; 74%), NOUN –[conj]–> NOUN (2752; 64%), VERB –[nsubj:pass]–> NOUN (753; 62%), ADJ –[nsubj]–> NOUN (633; 91%), ADJ –[conj]–> ADJ (630; 93%), NOUN –[acl]–> ADJ (376; 89%), VERB –[obl:agent]–> NOUN (237; 54%), ADJ –[det]–> DET (169; 93%).

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