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Treebank Statistics: UD_Italian-PoSTWITA: POS Tags: ADV

There are 324 ADV lemmas (2%), 355 ADV types (2%) and 6472 ADV tokens (5%). Out of 16 observed tags, the rank of ADV is: 8 in number of lemmas, 8 in number of types and 9 in number of tokens.

The 10 most frequent ADV lemmas: non, anche, più, bene, solo, ancora, oggi, ora, così, sempre

The 10 most frequent ADV types: non, anche, più, bene, solo, ancora, oggi, ora, sempre, poi

The 10 most frequent ambiguous lemmas: non (ADV 1448, X 1), più (ADV 344, ADP 1), bene (ADV 229, NOUN 21), solo (ADV 175, ADJ 35), ancora (ADV 169, NOUN 1), oggi (ADV 152, NOUN 4), ora (ADV 135, NOUN 70), come (ADP 159, ADV 102, SCONJ 49), perché (SCONJ 155, ADV 85, NOUN 1), molto (ADV 77, DET 22, PRON 8)

The 10 most frequent ambiguous types: più (ADV 323, ADP 1), bene (ADV 182, NOUN 18), solo (ADV 160, ADJ 10), ancora (ADV 148, NOUN 1), oggi (ADV 110, NOUN 2), ora (ADV 101, NOUN 36), come (ADP 157, ADV 67, SCONJ 44), molto (ADV 69, DET 1), ecco (ADV 35, INTJ 3), quanto (ADV 52, PRON 36, DET 9, ADP 1, X 1)

• più
  • ADV 323: Se #Grillo è l’ alternativa mi tenevo #Bossi : fa anche ridere di più .
  • ADP 1: @user sono per i johneppe , johnny più peppe uu sono sdjbfjbsd quando ballavano insieme erano dhsbfbsjh —— va bene ti avverto uu
• bene
  • ADV 182: @user ahahaha mi ombottivo per bene xD ma poi sono stata male … LOOOL
  • NOUN 18: @user weee rox , tutto bene tu ? :) aw ti voglio tanto bene anche io . <3
• solo
  • ADV 160: @user1 @user2 solo i delinquenti temono le intercettazioni .
  • ADJ 10: @user beh , se ti senti solo , pensa un po’ anche a me . #momentotenerezza
• ancora
  • ADV 148: @user ma non hai ancora scritto un tweet ? Prova !
  • NOUN 1: Berlusconi ha capito che il governo Monti è l’ ancora di salvezza per l’ Italia , nonostante le volgarità di il qualunquista Bossi . Merito a il Cav. !
• oggi
  • ADV 110: @user oggi non ho pranzato , quindi sicuramente ero a fare altro ( ? )
  • NOUN 2: @user mah oggi e’ stata una giornata tranquilla . Ho fatto delle commissioni e alcuni ( cont ) http://t.co/biTUxkJm
• ora
  • ADV 101: #556 si a favore di il Governo #Monti : cominciamo ora ?
  • NOUN 36: @user Non vedo l’ ora !
• come
  • ADP 157: @user bene :D oggi ho mangiato come un mailino ahahahah xD
  • ADV 67: @user ciao fiorello mi dici di come va il governo monti ciao risp
  • SCONJ 44: @user ti manderò una foto , cosi sarà come essere anche tu con me :-*
• molto
  • ADV 69: @user per come abbiamo perso , molto ma fa niente . :-)
  • DET 1: RT @user : avere un carattere forte ha molto lati negativi
• ecco
  • ADV 35: A Crema #Grillo critica tutti , ecco il video , http://t.co/tJJIB0FY
  • INTJ 3: @user ecco succede anche a me !!!
• quanto
  • ADV 52: @user :* vediamo quanto dura ! :)
  • PRON 36: @user Temo che #Grillo non sa più quanto lui sta andando su questa tera .
  • DET 9: quanto tempo galera o !
  • ADP 1: Perché #Grillo mi fa paura almeno quanto il becerume leghista ?
  • X 1: acordei com 7 sms quanto amor

Morphology

The form / lemma ratio of ADV is 1.095679 (the average of all parts of speech is 1.310684).

The 1st highest number of forms (5) was observed with the lemma “bene”: ben, bene, beneeeee, bennee, bn.

The 2nd highest number of forms (5) was observed with the lemma “perché”: Xchè, perche’, perchè, perché, xk.

The 3rd highest number of forms (4) was observed with the lemma “anche”: Anch, anch’, anche, anke.

ADV occurs with 2 features: PronType (1453; 22% instances), Typo (4; 0% instances)

ADV occurs with 2 feature-value pairs: PronType=Neg, Typo=Yes

ADV occurs with 4 feature combinations. The most frequent feature combination is _ (5016 tokens). Examples: anche, più, bene, solo, ancora, oggi, ora, sempre, poi, così

Relations

ADV nodes are attached to their parents using 25 different relations: advmod (5912; 91% instances), root (87; 1% instances), conj (85; 1% instances), parataxis (80; 1% instances), discourse (78; 1% instances), case (69; 1% instances), mark (55; 1% instances), orphan (24; 0% instances), obl (16; 0% instances), nmod (13; 0% instances), fixed (12; 0% instances), advcl (7; 0% instances), ccomp (7; 0% instances), amod (5; 0% instances), obj (4; 0% instances), acl (3; 0% instances), appos (3; 0% instances), flat (3; 0% instances), flat:name (2; 0% instances), parataxis:appos (2; 0% instances), cc (1; 0% instances), dep (1; 0% instances), flat:foreign (1; 0% instances), nsubj (1; 0% instances), xcomp (1; 0% instances)

Parents of ADV nodes belong to 15 different parts of speech: VERB (3701; 57% instances), NOUN (1054; 16% instances), ADJ (616; 10% instances), PRON (302; 5% instances), ADV (273; 4% instances), PROPN (173; 3% instances), SYM (112; 2% instances), (87; 1% instances), SCONJ (40; 1% instances), X (38; 1% instances), INTJ (32; 0% instances), NUM (30; 0% instances), DET (6; 0% instances), ADP (4; 0% instances), AUX (4; 0% instances)

5513 (85%) ADV nodes are leaves.

669 (10%) ADV nodes have one child.

137 (2%) ADV nodes have two children.

153 (2%) ADV nodes have three or more children.

The highest child degree of a ADV node is 11.

Children of ADV nodes are attached using 32 different relations: punct (309; 19% instances), advmod (204; 12% instances), case (198; 12% instances), obl (164; 10% instances), fixed (116; 7% instances), vocative (94; 6% instances), parataxis (80; 5% instances), cop (70; 4% instances), conj (68; 4% instances), cc (64; 4% instances), det (55; 3% instances), nsubj (46; 3% instances), advcl (41; 2% instances), discourse (41; 2% instances), parataxis:hashtag (29; 2% instances), mark (21; 1% instances), nmod (13; 1% instances), ccomp (9; 1% instances), csubj (5; 0% instances), aux (4; 0% instances), dep (4; 0% instances), flat (3; 0% instances), list (3; 0% instances), orphan (3; 0% instances), acl (2; 0% instances), appos (2; 0% instances), goeswith (2; 0% instances), acl:relcl (1; 0% instances), amod (1; 0% instances), iobj (1; 0% instances), nummod (1; 0% instances), parataxis:nsubj (1; 0% instances)

Children of ADV nodes belong to 16 different parts of speech: PUNCT (309; 19% instances), ADP (283; 17% instances), ADV (273; 16% instances), SYM (174; 11% instances), NOUN (132; 8% instances), VERB (83; 5% instances), AUX (74; 4% instances), CCONJ (71; 4% instances), PROPN (65; 4% instances), DET (58; 4% instances), SCONJ (39; 2% instances), PRON (37; 2% instances), INTJ (31; 2% instances), ADJ (13; 1% instances), X (10; 1% instances), NUM (3; 0% instances)

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