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Treebank Statistics: UD_Italian-VIT: Features: Gender

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

116577 tokens (42%) have a non-empty value of Gender. 12735 types (54%) occur at least once with a non-empty value of Gender. 8505 lemmas (54%) occur at least once with a non-empty value of Gender. The feature is used with 14 part-of-speech tags: NOUN (54785; 20% instances), DET (37731; 13% instances), ADJ (12481; 4% instances), VERB (7838; 3% instances), PRON (2808; 1% instances), AUX (668; 0% instances), ADV (147; 0% instances), NUM (98; 0% instances), X (8; 0% instances), ADP (6; 0% instances), CCONJ (4; 0% instances), INTJ (1; 0% instances), PUNCT (1; 0% instances), SCONJ (1; 0% instances).

NOUN

54785 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 (34650; 63%).

NOUN tokens may have the following values of Gender:

• Fem (24082; 44% of non-empty Gender): società, attività, parte, legge, titolarità, provincia, città, sede, domanda, gestione
• Masc (30703; 56% of non-empty Gender): anni, miliardi, anno, posti, presidente, punto, governo, stato, gruppo, lavoro
• EMPTY (3098): n., art., insegnanti, dpr, mila, a, b, docenti, dl, via

Paradigm fine	Masc	Fem
Number=Sing	fine	fine, fin
Number=Plur	fini

Gender seems to be lexical feature of NOUN. 99% lemmas (5507) occur only with one value of Gender.

DET

37731 DET tokens (86% of all DET tokens) have a non-empty value of Gender.

The most frequent other feature values with which DET and Gender co-occurred: PronType=Art (34993; 93%), Definite=Def (30878; 82%), Number=Sing (25954; 69%).

DET tokens may have the following values of Gender:

• Fem (15861; 42% of non-empty Gender): la, le, una, un’, sua, questa, tutte, queste, sue, quella
• Masc (21870; 58% of non-empty Gender): il, i, un, gli, lo, questo, suo, tutti, questi, uno
• EMPTY (6173): l’, loro, ogni, tale, il, qualche, tali, che, quest’, cui

Paradigm il	Masc	Fem
Number=Sing	il, lo, gli, i, l'	la
Number=Plur	i, gli, il	le, il, i

ADJ

12481 ADJ tokens (62% 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 (7827; 63%).

ADJ tokens may have the following values of Gender:

• Fem (5638; 45% of non-empty Gender): altre, nuova, italiana, altra, nuove, politica, stessa, pubblica, economica, politiche
• Masc (6843; 55% of non-empty Gender): altri, nuovo, economico, stesso, nuovi, scorso, altro, finanziario, ultimo, italiano
• EMPTY (7693): precedente, primo, grande, presente, ex, netto, generale, grandi, nazionale, sociale

Paradigm altro	Masc	Fem
Number=Sing	altro	altra
Number=Sing|PronType=Dem	altro
Number=Sing|PronType=Ind	altro	altra
Number=Plur	altri	altre

VERB

7838 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 (7838; 100%), Person=EMPTY (7838; 100%), Tense=Past (7777; 99%), VerbForm=Part (7777; 99%), Number=Sing (5635; 72%).

VERB tokens may have the following values of Gender:

• Fem (2293; 29% of non-empty Gender): prevista, indicate, presentata, comprese, effettuata, fatta, richiesta, data, previste, richieste
• Masc (5545; 71% of non-empty Gender): fatto, detto, approvato, previsto, avuto, previsti, deciso, ottenuto, visto, dato
• EMPTY (13557): è, ha, fare, fa, far, hanno, dice, sono, avere, scade

Paradigm fare	Masc	Fem
Number=Sing	fatto	fatta
Number=Plur	fatti	fatte

PRON

2808 PRON tokens (29% of all PRON tokens) have a non-empty value of Gender.

The most frequent other feature values with which PRON and Gender co-occurred: Clitic=EMPTY (2208; 79%), Number=Sing (2038; 73%), Person=EMPTY (1980; 71%).

PRON tokens may have the following values of Gender:

• Fem (716; 25% of non-empty Gender): quella, la, quelle, le, una, essa, questa, queste, altra, esse
• Masc (2092; 75% of non-empty Gender): lo, quello, quale, quelli, quanto, questo, tutti, gli, li, altro
• EMPTY (6986): che, si, cui, ci, c’, ne, mi, dove, chi, quali

Paradigm quello	Masc	Fem
Number=Sing	quello, quel	quella
Number=Plur	quelli	quelle

AUX

668 AUX tokens (7% 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 (668; 100%), Person=EMPTY (668; 100%), Tense=Past (667; 100%), VerbForm=Part (667; 100%), Number=Sing (504; 75%).

AUX tokens may have the following values of Gender:

• Fem (203; 30% of non-empty Gender): stata, state, dovuta, fatta, voluta
• Masc (465; 70% of non-empty Gender): stato, stati, potuto, dovuto, voluto, fatto, dovuti, essere, voluti
• EMPTY (8754): è, ha, sono, essere, hanno, era, sarà, deve, può, sia

Paradigm essere	Masc	Fem
Number=Sing|PronType=Rel|Tense=Past|VerbForm=Part		stata
Number=Sing|Tense=Past|VerbForm=Part	stato	stata
Number=Plur	essere
Number=Plur|Tense=Past|VerbForm=Part	stati	state

ADV

147 ADV tokens (1% of all ADV tokens) have a non-empty value of Gender.

The most frequent other feature values with which ADV and Gender co-occurred: PronType=EMPTY (145; 99%).

ADV tokens may have the following values of Gender:

• Fem (43; 29% of non-empty Gender): estremamente, inizialmente, costantemente, normalmente, celermente, contrariamente, lungamente, solamente, una, Molte
• Masc (104; 71% of non-empty Gender): volta, molto, poco, fa, lungo, troppo, no, seguito, casual, dietro
• EMPTY (10599): non, più, anche, solo, così, già, ancora, ieri, poi, sempre

Paradigm molto	Masc	Fem
Number=Sing	molto
Number=Plur		Molte

Gender seems to be lexical feature of ADV. 97% lemmas (65) occur only with one value of Gender.

NUM

98 NUM tokens (2% 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 (98; 100%).

NUM tokens may have the following values of Gender:

• Fem (35; 36% of non-empty Gender): un’, terza, una, mezza
• Masc (63; 64% of non-empty Gender): miliardi, milioni, un, primi, terzi, bis, rientro, uno
• EMPTY (6295): due, tre, cento, 15, 1, 5, 1973, 2, 20, 30

Paradigm uno	Masc	Fem
	un, uno	un', una

X

8 X tokens (2% of all X tokens) have a non-empty value of Gender.

The most frequent other feature values with which X and Gender co-occurred: Foreign=Yes (8; 100%).

X tokens may have the following values of Gender:

• Fem (3; 38% of non-empty Gender): area, deregulation, mountain
• Masc (5; 63% of non-empty Gender): local, network, personal, show, word-processing
• EMPTY (384): joint, venture, station, work, baby, cd, sitter, computer, condicio, par

ADP

6 ADP tokens (0% of all ADP tokens) have a non-empty value of Gender.

ADP tokens may have the following values of Gender:

• Masc (6; 100% of non-empty Gender): per, Salvo, dietro, ne, niente
• EMPTY (45569): di, a, in, per, da, con, su, tra, ad, come

CCONJ

4 CCONJ tokens (0% of all CCONJ tokens) have a non-empty value of Gender.

CCONJ tokens may have the following values of Gender:

• Fem (1; 25% of non-empty Gender): essa
• Masc (3; 75% of non-empty Gender): altro, caso, quanto
• EMPTY (8175): e, ma, o, ed, sia, come, che, cioè, ovvero, nonché

INTJ

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

The most frequent other feature values with which INTJ and Gender co-occurred: Polarity=EMPTY (1; 100%).

INTJ tokens may have the following values of Gender:

• Masc (1; 100% of non-empty Gender): ok
• EMPTY (77): no, sì, basta, Bè, Ecco, addio, avanti, macché, oh, Beh

PUNCT

1 PUNCT tokens (0% of all PUNCT tokens) have a non-empty value of Gender.

PUNCT tokens may have the following values of Gender:

• Fem (1; 100% of non-empty Gender): le
• EMPTY (31584): ,, ., “, ), -, (, :, ?, ;, «/em>

SCONJ

1 SCONJ tokens (0% of all SCONJ tokens) have a non-empty value of Gender.

SCONJ tokens may have the following values of Gender:

• Masc (1; 100% of non-empty Gender): addebitati
• EMPTY (2213): che, se, perché, quando, mentre, come, qualora, poiché, affinché, ove

Relations with Agreement in Gender

The 10 most frequent relations where parent and child node agree in Gender: NOUN –[det]–> DET (30363; 83%), NOUN –[amod]–> ADJ (9797; 61%), NOUN –[conj]–> NOUN (2595; 58%), NOUN –[advcl]–> VERB (1297; 76%), VERB –[nsubj:pass]–> NOUN (1076; 93%), NOUN –[det:poss]–> DET (960; 77%), VERB –[conj]–> VERB (338; 51%), NOUN –[det:predet]–> DET (333; 95%), NOUN –[nsubj]–> NOUN (162; 53%), ADJ –[amod]–> ADJ (136; 56%).

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