Treebank Statistics: UD_Italian-TWITTIRO: POS Tags: VERB
There are 755 VERB
lemmas (15%), 1533 VERB
types (23%) and 2846 VERB
tokens (10%).
Out of 16 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: fare, avere, essere, dire, continuare, andare, vedere, sapere, mettere, parlare
The 10 most frequent VERB
types: continua, fare, è, fa, fatto, ha, detto, dire, dice, va
The 10 most frequent ambiguous lemmas: avere (AUX 230, VERB 98), essere (AUX 668, VERB 96, NOUN 1, PROPN 1), andare (VERB 63, AUX 3, X 1), sapere (VERB 38, NOUN 3), dare (VERB 33, X 1), stare (VERB 26, AUX 24), volere (AUX 39, VERB 26), venire (VERB 20, AUX 9), pagare (VERB 16, NOUN 1), parere (VERB 14, NOUN 1)
The 10 most frequent ambiguous types: è (AUX 264, VERB 51, CCONJ 2), fa (VERB 39, ADV 3), fatto (VERB 36, NOUN 3), ha (AUX 99, VERB 29), va (VERB 18, AUX 2), ho (AUX 21, VERB 8), morto (VERB 10, NOUN 3, ADJ 2), hanno (AUX 27, VERB 10), so (VERB 9, AUX 1), sta (AUX 8, VERB 8, DET 1)
- è
- AUX 264: A commentare il nuovo governo Monti c’ è Casini . Non è rassicurante .
- VERB 51: A commentare il nuovo governo Monti c’ è Casini . Non è rassicurante .
- CCONJ 2: @user lei parla di buona scuola ma è più preparato chi è in gae e non ha mai inseg. o chi è in 3 fascia d’ istituto è ha inseg x anni ?
- fa
- fatto
- ha
- va
- ho
- morto
- VERB 10: È morto l’ uomo più alto di il mondo . Ora è l’ uomo più lungo di il mondo . [ @user ]
- NOUN 3: Renzi : “ Speculare su un morto fa schifo “ . Finalmente una presa di posizione su il Giubileo . [ acid rain ]
- ADJ 2: Scajola sapeva che Biagi era in pericolo . Ma a il governo serviva morto . [ @user ]
- hanno
- so
- sta
Morphology
The form / lemma ratio of VERB
is 2.030464 (the average of all parts of speech is 1.274961).
The 1st highest number of forms (28) was observed with the lemma “fare”: Fa’, Fatti, fa, faccia, facciamo, facciano, faccio, facendo, facessero, faceva, facevano, facevo, fai, fanno, far, fara’, faranno, fare, farebbe, farei, faremo, farà, farò, fat, fate, fatta, fatto, fà.
The 2nd highest number of forms (23) was observed with the lemma “essere”: E, Essere, e’, era, erano, fosse, fossero, fossi, sara’, saranno, sarebbe, sia, siamo, siano, siete, so, so’, sono, stata, stati, stato, è, é.
The 3rd highest number of forms (20) was observed with the lemma “avere”: abbia, abbiamo, avendo, avente, aver, avere, avete, aveva, avevano, avranno, avrebbe, avrebbero, avremmo, avrà, avrò, avuto, ha, hai, hanno, ho.
VERB
occurs with 6 features: VerbForm (2844; 100% instances), Number (2218; 78% instances), Tense (2215; 78% instances), Mood (1716; 60% instances), Person (1711; 60% instances), Gender (505; 18% 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 50 feature combinations.
The most frequent feature combination is Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin
(797 tokens).
Examples: continua, è, fa, ha, dice, va, sembra, parla, pare, arriva
Relations
VERB
nodes are attached to their parents using 24 different relations: root (934; 33% instances), parataxis (689; 24% instances), advcl (250; 9% instances), conj (233; 8% instances), acl:relcl (195; 7% instances), xcomp (186; 7% instances), ccomp (166; 6% instances), acl (110; 4% instances), csubj (45; 2% instances), parataxis:discourse (7; 0% instances), parataxis:appos (6; 0% instances), parataxis:insert (5; 0% instances), obj (3; 0% instances), vocative:mention (3; 0% instances), dislocated (2; 0% instances), obl (2; 0% instances), orphan (2; 0% instances), parataxis:obj (2; 0% instances), amod (1; 0% instances), csubj:pass (1; 0% instances), dep (1; 0% instances), flat (1; 0% instances), flat:foreign (1; 0% instances), nmod (1; 0% instances)
Parents of VERB
nodes belong to 13 different parts of speech: VERB (1252; 44% instances), (934; 33% instances), NOUN (384; 13% instances), PRON (92; 3% instances), ADJ (85; 3% instances), PROPN (45; 2% instances), SYM (21; 1% instances), ADV (17; 1% instances), X (9; 0% instances), INTJ (3; 0% instances), AUX (2; 0% instances), DET (1; 0% instances), NUM (1; 0% instances)
52 (2%) VERB
nodes are leaves.
202 (7%) VERB
nodes have one child.
527 (19%) VERB
nodes have two children.
2065 (73%) VERB
nodes have three or more children.
The highest child degree of a VERB
node is 14.
Children of VERB
nodes are attached using 46 different relations: punct (1923; 17% instances), obj (1202; 11% instances), obl (1181; 10% instances), nsubj (1016; 9% instances), parataxis (921; 8% instances), advmod (798; 7% instances), mark (580; 5% instances), aux (506; 4% instances), vocative:mention (452; 4% instances), parataxis:hashtag (302; 3% instances), expl (275; 2% instances), xcomp (256; 2% instances), advcl (230; 2% instances), cc (230; 2% instances), conj (216; 2% instances), ccomp (202; 2% instances), iobj (197; 2% instances), discourse (186; 2% instances), dep (123; 1% instances), nsubj:pass (100; 1% instances), expl:impers (58; 1% instances), aux:pass (40; 0% instances), dislocated (39; 0% instances), vocative (39; 0% instances), nmod (35; 0% instances), obl:agent (30; 0% instances), discourse:emo (27; 0% instances), expl:pass (18; 0% instances), csubj (17; 0% instances), case (12; 0% instances), det (11; 0% instances), parataxis:obj (10; 0% instances), nummod (9; 0% instances), parataxis:appos (7; 0% instances), parataxis:discourse (6; 0% instances), amod (4; 0% instances), cop (4; 0% instances), orphan (4; 0% instances), acl:relcl (3; 0% instances), parataxis:insert (3; 0% instances), parataxis:nsubj (3; 0% instances), acl (2; 0% instances), appos (2; 0% instances), det:poss (2; 0% instances), csubj:pass (1; 0% instances), nsubj:outer (1; 0% instances)
Children of VERB
nodes belong to 16 different parts of speech: NOUN (2414; 21% instances), PUNCT (1923; 17% instances), VERB (1252; 11% instances), PRON (1207; 11% instances), SYM (1159; 10% instances), ADV (842; 7% instances), PROPN (732; 6% instances), AUX (552; 5% instances), ADP (296; 3% instances), SCONJ (285; 3% instances), CCONJ (261; 2% instances), ADJ (149; 1% instances), INTJ (120; 1% instances), NUM (43; 0% instances), X (33; 0% instances), DET (15; 0% instances)