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Treebank Statistics: UD_Croatian-SET: POS Tags: PART

There are 34 PART lemmas (0%), 33 PART types (0%) and 2092 PART tokens (1%). Out of 17 observed tags, the rank of PART is: 11 in number of lemmas, 13 in number of types and 14 in number of tokens.

The 10 most frequent PART lemmas: ne, i, li, sve, ni, čak, tek, bilo, niti, baš

The 10 most frequent PART types: ne, i, li, sve, ni, čak, tek, bilo, niti, to

The 10 most frequent ambiguous lemmas: i (CCONJ 5402, PART 466, X 1), li (PART 128, SCONJ 26), sve (DET 125, PART 97, ADJ 4), ni (PART 86, CCONJ 43), bilo (PART 64, CCONJ 5), niti (PART 54, CCONJ 24), pak (PART 28, CCONJ 1), što (PRON 564, SCONJ 276, PART 26, CCONJ 1), taj (DET 1457, PART 15, PRON 1), to (PART 15, X 3)

The 10 most frequent ambiguous types: i (CCONJ 5342, PART 444), li (PART 128, SCONJ 26), sve (DET 121, PART 86, ADJ 76), ni (PART 79, CCONJ 42), bilo (AUX 141, PART 64, CCONJ 5), niti (PART 45, CCONJ 24), to (DET 479, PART 30, X 2), pak (PART 28, CCONJ 1), što (PRON 446, SCONJ 276, PART 24, CCONJ 1), nešto (PRON 40, ADV 15, PART 11)

• i
  • CCONJ 5342: Srbija u diplomatskim neprilikama zbog usporedbe Kosova i Južne Osetije
  • PART 444: Sporazum su različito primili i kosovski Srbi .
• li
  • PART 128: Postoji li išta što je trajno ?
  • SCONJ 26: Britanija prijeti vetom ; Sarkozy kaže da će Francuska ići sama bude li trebalo .
• sve
  • DET 121: ” To je problem za sve političke igrače .
  • PART 86: Milan Bandić mu je dužan stotine milijuna kuna i gura ih sve dublje .
  • ADJ 76: To će biti korisno za sve ljude na Kosovu “ .
• ni
  • PART 79: ” Nikada se nikome nisam nudio , pa ni HDZ-u “ , istaknuo je Jurčić .
  • CCONJ 42: U međuvremenu se izgubilo 100 tisuća radnih mjesta pa nema ni poreza ni doprinosa .
• bilo
  • AUX 141: Nedjeljno lansiranje , bilo je četvrto do sada za tu raketu .
  • PART 64: U Bulgartabacu su odbili dati bilo kakav komentar .
  • CCONJ 5: Stoga , bilo da se brinete za članove obitelji koji su otputovali , bilo da se bojite otkaza , bolesti , nevjere ili razvoda , savjet je isti .
• niti
  • PART 45: Ni Beograd niti Priština neće moći postići sve što hoće , kazao je Polt .
  • CCONJ 24: Izgleda kao da nikad ne jedete odreske niti ste ikad čuli za njih . ‘
• to
  • DET 479: Organizatori su to odbili .
  • PART 30: I to ne “ samo tako “ nego lijepo , glatko , animirano , ugodno .
  • X 2: Testirali smo navedene stranice sa Internet Explorer 8 i ona radi nakon što se klikne na Continue to this website .
• pak
  • PART 28: U rodnom pak mjestu govori da je emigrirao u Ameriku .
  • CCONJ 1: Schumacher je s druge pak strane nešto teže stigao do finala pobijedivši Mikku Hirvonena u vožnji X-bowa , a u polufinalu ga je čekao Red Bullov as Sebastian Vettel .
• što
  • PRON 446: Postoji li išta što je trajno ?
  • SCONJ 276: ” Moj život nije kao što je bio prije .
  • PART 24: Dapače , što je više servera u igri , opća situacija je bolja .
  • CCONJ 1: Poruka tog proračuna građanima jest da glasaju za sadašnju vlast koja će , ako opet pobijedi na izborima , već 2012. morati dirati u sva ta prava , samo što će za građane tada biti kasno - ističe Darinko Kosor , predsjednik HSLS-a , stranke koja je još donedavno činila dio vladajuće koalicije .
• nešto
  • PRON 40: ” Ako želite dobiti nešto [ kao manjina ] , morate to tražiti .
  • ADV 15: Oružje kojim je izvršeno ubojstvo pronađeno je nešto kasnije .
  • PART 11: Češka ima preko 12.000 , Mađarska preko 10.000 , a Hrvatska nešto iznad 8000 eura .

Morphology

The form / lemma ratio of PART is 0.970588 (the average of all parts of speech is 1.848309).

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

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

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

PART occurs with 1 features: Polarity (851; 41% instances)

PART occurs with 2 feature-value pairs: Polarity=Neg, Polarity=Pos

PART occurs with 3 feature combinations. The most frequent feature combination is _ (1241 tokens). Examples: i, li, sve, čak, tek, ni, bilo, to, baš, niti

Relations

PART nodes are attached to their parents using 17 different relations: advmod (1040; 50% instances), discourse (795; 38% instances), mark (131; 6% instances), fixed (38; 2% instances), cc (29; 1% instances), conj (15; 1% instances), amod (11; 1% instances), root (10; 0% instances), obj (9; 0% instances), expl (3; 0% instances), nsubj (3; 0% instances), obl (3; 0% instances), case (1; 0% instances), ccomp (1; 0% instances), dep (1; 0% instances), dislocated (1; 0% instances), nmod (1; 0% instances)

Parents of PART nodes belong to 16 different parts of speech: VERB (945; 45% instances), NOUN (461; 22% instances), ADV (181; 9% instances), ADJ (159; 8% instances), NUM (80; 4% instances), DET (78; 4% instances), PROPN (53; 3% instances), PRON (28; 1% instances), PART (26; 1% instances), ADP (24; 1% instances), AUX (21; 1% instances), CCONJ (13; 1% instances), (10; 0% instances), SCONJ (10; 0% instances), X (2; 0% instances), SYM (1; 0% instances)

1975 (94%) PART nodes are leaves.

89 (4%) PART nodes have one child.

18 (1%) PART nodes have two children.

10 (0%) PART nodes have three or more children.

The highest child degree of a PART node is 7.

Children of PART nodes are attached using 16 different relations: fixed (50; 31% instances), punct (39; 24% instances), discourse (23; 14% instances), cc (12; 8% instances), advmod (7; 4% instances), nmod (7; 4% instances), advcl (4; 3% instances), conj (4; 3% instances), case (3; 2% instances), nsubj (3; 2% instances), det (2; 1% instances), obj (2; 1% instances), cop (1; 1% instances), mark (1; 1% instances), obl (1; 1% instances), parataxis (1; 1% instances)

Children of PART nodes belong to 14 different parts of speech: PUNCT (39; 24% instances), CCONJ (30; 19% instances), PART (26; 16% instances), SCONJ (16; 10% instances), ADV (13; 8% instances), DET (11; 7% instances), PRON (8; 5% instances), VERB (5; 3% instances), NOUN (4; 3% instances), ADP (3; 2% instances), PROPN (2; 1% instances), AUX (1; 1% instances), INTJ (1; 1% instances), NUM (1; 1% instances)

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