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Treebank Statistics: UD_Italian-PoSTWITA: POS Tags: SYM

There are 3903 SYM lemmas (27%), 3903 SYM types (21%) and 11749 SYM tokens (9%). Out of 16 observed tags, the rank of SYM is: 1 in number of lemmas, 2 in number of types and 5 in number of tokens.

The 10 most frequent SYM lemmas: @user, #grillo, #monti, @user1, @user2, RT, #governo, #serviziopubblico, :), @user3

The 10 most frequent SYM types: @user, #grillo, #monti, @user1, @user2, RT, #governo, #serviziopubblico, :), @user3

The 10 most frequent ambiguous lemmas: + (SYM 29, PUNCT 15, ADV 1), & (SYM 15, PROPN 1), x (SYM 4, X 3), #D’Alema (SYM 3, PROPN 1), «/em> (PUNCT 3, SYM 3), � (SYM 3, X 2), > (PUNCT 12, SYM 2), C (PROPN 2, SYM 2), Università_it (SYM 2, PROPN 1), a (ADP 2901, PROPN 16, X 10, INTJ 3, SYM 1)

The 10 most frequent ambiguous types: RT (SYM 338, NOUN 3, VERB 2), + (SYM 29, PUNCT 15, ADV 2), & (SYM 15, PROPN 1), x (ADP 60, SYM 4, X 3), #D’Alema (SYM 3, PROPN 1), «/em> (PUNCT 3, SYM 3), � (SYM 3, X 2), > (PUNCT 12, SYM 2), A (ADP 216, PROPN 5, SYM 2, INTJ 1), C (PROPN 2, SYM 2, PRON 1)

• RT
  • SYM 338: RT @user : Va boh me ne vó in palestra , a più tardi !
  • NOUN 3: RT @user1 @user2 @user3 grazie di il RT ! Sappiate che ho tutta la seconda serie anni ‘90 di la Granata Press !
  • VERB 2: #ITALYLOVESBIEBER RT se anche tu pensi che la Devonne senza trucco sia ancora più bella .
• +
  • SYM 29: BORSA MILANO : POSITIVA ( + 0,5 % ) DOPO AVVIO GOVERNO MONTI
  • PUNCT 15: @user :: nemmeno un governo Monti ‘ di scopo ‘ ? : legge elett . + rientro in UE + elez. primavera ?
  • ADV 2: Governo #Monti : la fiducia + ampia di la storia di la Repubblica Italiana da il peggior Parlamento di la storia di la Repubblica Italiana . 2+2
• &
  • SYM 15: & Lega Nord : NO A IL GOVERNO MONTI ! cosa ne pensate ?
  • PROPN 1: Pappagallini & Co . le specie aliene che stanno invadendo l’ Italia http://t.co/RipARhR34s
• x
  • ADP 60: @user vedi in il male ti è andata bene !! Io pure ho saldato x marsa !!
  • SYM 4: RT @user : #rt segui mi e ti seguo , siate anime gentili tra poco è natale ♡ x 15
  • X 3: @user a dopo amour . x
• #D’Alema
  • SYM 3: #D’Alema dice che #Grillo è un misto tra #Bossi e il #Gabibbo . Se ci va anche solo vicino a il giorno d’ oggi potrebbe voler dire un bel 20 %
  • PROPN 1: E devo stare davvero male , perché sono d’ accordo anche con Massimo #D’Alema in il giudizio negativissimo su Beppe #Grillo http://t.co/Y3IWAMJQ
• «/em>
  • PUNCT 3: Il Fatto «/b> Governo Monti : quali riforme ?</em>
  • SYM 3: Le difficoltà di il governo Monti a href = http://t.co/mjg9A9Do /a «/b></em>
• �
  • SYM 3: Il nuovo Bossi-pensiero : � Il governo Monti fa schifo � http://t.co/8mDZSpoU via @user
  • X 2: Classico esempio di polemica stupida : CGIL : � il Governo Monti rinvia l’ entrata in vigore di il SISTRI � http://t.co/pyzWOeTP via @user
• >
  • PUNCT 12: La linea di Renzi per incalzare il governo Monti [ Il Foglio.it > Cerazade ] : http://t.co/bVoKqqNC via @user
  • SYM 2: La linea di Renzi per incalzare il governo Monti - [ Il Foglio.it > Cerazade ]: http://t.co/ATiOlLoe via @user
• A
  • ADP 216: A le 4 devo cominciare a studiare T__T E devo anche fare la spesa D:
  • PROPN 5: http://t.co/iOq8T2QS PORTA A PORTA , OSPITE MARIO MONTI
  • SYM 2: Fiorentina che Passione • Re : [ Serie A ] Roma - Fiorentina : cioè ne prendiamo 2 ???? non facciamo proc… http://t.co/LF8x9kb2 #fiorentina
  • INTJ 1: A Marò .. Stime di - 2,2 per colpa di la manovra di il governo Monti ?! E daje su , finite la di dire cazzate … #Ballarò
• C
  • PROPN 2: RT @user : A soli 0 euro a il mese Twitter ti offre : - Serie A , B , C - Champions League - Meteo - Programmi televisivi - Commenti in dirett…
  • SYM 2: @user Anche in le 4000 #Parafarmacie E il delitti #farmaci C senza ricetta ? Intanto #federfarma fa’ lobby su #balduzzi . Man !
  • PRON 1: @user va bene di carta di giornale ?? C e crisi

Morphology

The form / lemma ratio of SYM is 1.000000 (the average of all parts of speech is 1.310744).

The 1st highest number of forms (1) was observed with the lemma “#”: #.

The 2nd highest number of forms (1) was observed with the lemma “#1”: #1.

The 3rd highest number of forms (1) was observed with the lemma “#10”: #10.

SYM does not occur with any features.

Relations

SYM nodes are attached to their parents using 37 different relations: vocative (2621; 22% instances), parataxis (2544; 22% instances), parataxis:hashtag (2252; 19% instances), nmod (1173; 10% instances), nsubj (819; 7% instances), discourse (721; 6% instances), obl (411; 3% instances), obj (235; 2% instances), flat:name (210; 2% instances), conj (180; 2% instances), root (129; 1% instances), dep (65; 1% instances), list (62; 1% instances), appos (48; 0% instances), flat:foreign (43; 0% instances), flat (42; 0% instances), amod (31; 0% instances), nsubj:pass (23; 0% instances), dislocated (20; 0% instances), compound (16; 0% instances), xcomp (15; 0% instances), obl:agent (14; 0% instances), cc (11; 0% instances), ccomp (9; 0% instances), mark (8; 0% instances), parataxis:appos (8; 0% instances), advcl (7; 0% instances), fixed (7; 0% instances), advmod (5; 0% instances), orphan (5; 0% instances), case (4; 0% instances), acl (3; 0% instances), acl:relcl (3; 0% instances), parataxis:nsubj (2; 0% instances), csubj (1; 0% instances), nummod (1; 0% instances), parataxis:obj (1; 0% instances)

Parents of SYM nodes belong to 15 different parts of speech: VERB (5314; 45% instances), NOUN (3309; 28% instances), SYM (783; 7% instances), PROPN (733; 6% instances), ADJ (603; 5% instances), INTJ (333; 3% instances), PRON (238; 2% instances), ADV (174; 1% instances), (129; 1% instances), X (89; 1% instances), NUM (30; 0% instances), AUX (7; 0% instances), DET (4; 0% instances), ADP (2; 0% instances), SCONJ (1; 0% instances)

8761 (75%) SYM nodes are leaves.

1877 (16%) SYM nodes have one child.

598 (5%) SYM nodes have two children.

513 (4%) SYM nodes have three or more children.

The highest child degree of a SYM node is 13.

Children of SYM nodes are attached using 38 different relations: case (1189; 23% instances), punct (1099; 21% instances), det (720; 14% instances), nmod (336; 6% instances), conj (216; 4% instances), list (197; 4% instances), nummod (189; 4% instances), parataxis (157; 3% instances), amod (129; 2% instances), cc (117; 2% instances), flat:name (117; 2% instances), advmod (98; 2% instances), obl (88; 2% instances), parataxis:hashtag (69; 1% instances), nsubj (62; 1% instances), flat:foreign (56; 1% instances), cop (51; 1% instances), appos (47; 1% instances), vocative (46; 1% instances), discourse (45; 1% instances), acl:relcl (38; 1% instances), acl (18; 0% instances), mark (16; 0% instances), dep (13; 0% instances), compound (9; 0% instances), flat (9; 0% instances), advcl (8; 0% instances), det:predet (7; 0% instances), obj (7; 0% instances), orphan (7; 0% instances), parataxis:appos (7; 0% instances), aux (5; 0% instances), det:poss (4; 0% instances), nsubj:pass (2; 0% instances), ccomp (1; 0% instances), csubj (1; 0% instances), expl (1; 0% instances), parataxis:insert (1; 0% instances)

Children of SYM nodes belong to 16 different parts of speech: ADP (1181; 23% instances), PUNCT (1099; 21% instances), SYM (783; 15% instances), DET (732; 14% instances), PROPN (261; 5% instances), NOUN (253; 5% instances), NUM (196; 4% instances), ADJ (130; 3% instances), VERB (120; 2% instances), CCONJ (117; 2% instances), ADV (112; 2% instances), X (59; 1% instances), AUX (57; 1% instances), PRON (41; 1% instances), INTJ (26; 1% instances), SCONJ (15; 0% instances)

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