Treebank Statistics: UD_Italian-ParTUT: POS Tags: VERB
There are 973 VERB lemmas (16%), 2608 VERB types (29%) and 4724 VERB tokens (9%).
Out of 15 observed tags, the rank of VERB is: 3 in number of lemmas, 2 in number of types and 5 in number of tokens.
The 10 most frequent VERB lemmas: avere, fare, essere, scrivere, considerare, dare, rappresentare, tenere, creare, presentare
The 10 most frequent VERB types: ha, è, hanno, scrisse, far, fare, garantire, considerato, migliorare, creare
The 10 most frequent ambiguous lemmas: avere (AUX 311, VERB 138), essere (AUX 1244, VERB 79, NOUN 7), continuare (VERB 23, ADJ 1), andare (VERB 17, AUX 11), perdere (VERB 13, PROPN 1), definire (VERB 11, ADJ 1), limitare (VERB 11, NOUN 1), alimentare (ADJ 7, VERB 7, NOUN 1), parere (VERB 7, NOUN 4), stare (AUX 32, VERB 7)
The 10 most frequent ambiguous types: ha (AUX 127, VERB 41), è (AUX 403, VERB 41), hanno (AUX 74, VERB 27), fatto (NOUN 26, VERB 15), dato (VERB 11, ADJ 1, NOUN 1), sono (AUX 177, VERB 11), tratta (VERB 10, NOUN 1), credo (NOUN 5, VERB 4), fa (ADJ 10, VERB 9, ADV 2), data (NOUN 16, VERB 7, ADJ 2)
- ha
- è
- hanno
- fatto
- dato
- VERB 11: Lei non mi ha dato la parola .
- ADJ 1: L’ importanza di la sicurezza di i trasporti stradali , ferroviari e per vie navigabili interne è indubbia e dato il carattere internazionale di questo tipo di trasporti , anche i corsi di formazione per i consulenti per la sicurezza devono essere armonizzati , come , ad esempio , per il prossimo nuovo ADR .
- NOUN 1: Ci aspettiamo che esiga da il governo britannico il coinvolgimento di il settore privato in la fase di pianificazione , dato che senza dubbio dovrà fornire l’ impulso maggiore per l’ utilizzo di i finanziamenti a titolo di i fondi strutturali .
- sono
- tratta
- credo
- fa
- ADJ 10: Arrivarono 1,3 miliardi di anni fa , centinaia di milioni di anni prima di le prime piante .
- VERB 9: L’ uso che Balzac fa di personaggi ripetuti , che entrano e escono da i libri di la Comédie , rinforza la rappresentazione realista .
- ADV 2: 420 milioni di anni fa , esisteva questo organismo .
- data
Morphology
The form / lemma ratio of VERB is 2.680370 (the average of all parts of speech is 1.488229).
The 1st highest number of forms (23) was observed with the lemma “avere”: abbia, abbiamo, abbiano, avendo, aventi, aver, avere, avesse, aveva, avevano, avranno, avrebbero, avrete, avrà, avrò, avuta, avuto, ebbe, ebbero, ha, hai, hanno, ho.
The 2nd highest number of forms (19) was observed with the lemma “fare”: Fat, fa, faccia, faccio, facendo, facenti, facesse, facevano, fanno, far, fare, farà, farò, fatta, fatte, fatti, fatto, fece, fecero.
The 3rd highest number of forms (17) was observed with the lemma “tenere”: tenendo, tener, tenere, tenesse, teneva, tengo, tengono, tenne, tenuta, tenute, tenuti, tenuto, terrebbe, terrei, terremo, tiene, tieni.
VERB occurs with 6 features: VerbForm (4724; 100% instances), Tense (3348; 71% instances), Number (3347; 71% instances), Mood (1810; 38% instances), Person (1809; 38% instances), Gender (1448; 31% instances)
VERB occurs with 19 feature-value pairs: Gender=Fem, Gender=Masc, Mood=Cnd, Mood=Imp, Mood=Ind, Mood=Sub, Number=Plur, Number=Sing, Person=1, Person=2, Person=3, Tense=Fut, Tense=Imp, Tense=Past, Tense=Pres, VerbForm=Fin, VerbForm=Ger, VerbForm=Inf, VerbForm=Part
VERB occurs with 45 feature combinations.
The most frequent feature combination is VerbForm=Inf (1208 tokens).
Examples: far, fare, garantire, migliorare, creare, fornire, aumentare, avere, dare, contribuire
Relations
VERB nodes are attached to their parents using 15 different relations: root (1629; 34% instances), acl (767; 16% instances), advcl (632; 13% instances), acl:relcl (497; 11% instances), conj (489; 10% instances), xcomp (280; 6% instances), ccomp (277; 6% instances), csubj (96; 2% instances), obl (25; 1% instances), parataxis (18; 0% instances), csubj:pass (8; 0% instances), flat (2; 0% instances), nmod (2; 0% instances), nsubj (1; 0% instances), obj (1; 0% instances)
Parents of VERB nodes belong to 13 different parts of speech: (1629; 34% instances), VERB (1541; 33% instances), NOUN (1212; 26% instances), ADJ (190; 4% instances), PRON (107; 2% instances), PROPN (29; 1% instances), ADV (7; 0% instances), NUM (2; 0% instances), SCONJ (2; 0% instances), X (2; 0% instances), AUX (1; 0% instances), CCONJ (1; 0% instances), SYM (1; 0% instances)
146 (3%) VERB nodes are leaves.
524 (11%) VERB nodes have one child.
891 (19%) VERB nodes have two children.
3163 (67%) VERB nodes have three or more children.
The highest child degree of a VERB node is 11.
Children of VERB nodes are attached using 34 different relations: obl (2738; 17% instances), punct (2530; 16% instances), obj (2008; 12% instances), nsubj (1637; 10% instances), mark (1233; 8% instances), advmod (1003; 6% instances), aux (871; 5% instances), advcl (575; 4% instances), aux:pass (515; 3% instances), cc (499; 3% instances), conj (461; 3% instances), xcomp (456; 3% instances), nsubj:pass (444; 3% instances), ccomp (317; 2% instances), expl (287; 2% instances), obl:agent (184; 1% instances), iobj (79; 0% instances), expl:impers (62; 0% instances), vocative (58; 0% instances), case (45; 0% instances), nmod (41; 0% instances), csubj (39; 0% instances), det (33; 0% instances), nummod (30; 0% instances), amod (16; 0% instances), parataxis (13; 0% instances), csubj:pass (11; 0% instances), cop (6; 0% instances), appos (5; 0% instances), discourse (4; 0% instances), acl:relcl (3; 0% instances), dep (2; 0% instances), expl:pass (2; 0% instances), fixed (1; 0% instances)
Children of VERB nodes belong to 15 different parts of speech: NOUN (5499; 34% instances), PUNCT (2530; 16% instances), VERB (1541; 10% instances), PRON (1436; 9% instances), AUX (1392; 9% instances), ADV (1017; 6% instances), ADP (749; 5% instances), PROPN (542; 3% instances), SCONJ (531; 3% instances), CCONJ (499; 3% instances), ADJ (228; 1% instances), NUM (166; 1% instances), DET (33; 0% instances), X (24; 0% instances), SYM (21; 0% instances)