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Treebank Statistics: UD_Croatian-SET: POS Tags: PRON

There are 21 PRON lemmas (0%), 77 PRON types (0%) and 5302 PRON tokens (3%). Out of 17 observed tags, the rank of PRON is: 13 in number of lemmas, 10 in number of types and 11 in number of tokens.

The 10 most frequent PRON lemmas: sebe, on, što, oni, mi, ja, vi, tko, nešto, nitko

The 10 most frequent PRON types: se, što, ih, mi, ga, im, mu, on, njih, nam

The 10 most frequent ambiguous lemmas: sebe (PRON 2899, X 1), on (PRON 638, X 1), što (PRON 564, SCONJ 276, PART 26, CCONJ 1), ja (PRON 140, NOUN 2), vi (PRON 121, NOUN 2), nešto (PRON 50, ADV 16, PART 12), ništa (PRON 50, ADV 1), biti (AUX 11109, ADV 2, PRON 1), onaj (DET 233, PRON 1), taj (DET 1457, PART 15, PRON 1)

The 10 most frequent ambiguous types: se (PRON 2817, X 1), što (PRON 446, SCONJ 276, PART 24, CCONJ 1), on (PRON 67, X 1), ona (PRON 49, DET 4), ništa (PRON 45, ADV 1), oni (DET 37, PRON 32), nešto (PRON 40, ADV 15, PART 11), ono (PRON 32, DET 25, PART 1), je (AUX 6072, PRON 34), njega (PRON 30, NOUN 1)

• se
  • PRON 2817: Srbija se , istodobno , našla u diplomatskim neprilikama .
  • X 1: Leonardo Benevolo , poznati povjesničar arhitekture i urbanizma , jednom je dobro zapazio : » La machina urbanisticha gira su se stessa « stroj urbanističke discipline vrti se sam od sebe .
• 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 .
• on
  • PRON 67: Jedini problem , kažu kritičari , jest što on nije originalan .
  • X 1: ” To je prepoznato u svijetu kao vrijednost tako da smo u engleskom izdanju publikacije Designers on Design Terencea Conrana i Maxa Frasera uvršteni među 100 najaktivnijih dizajnera svijeta .
• ona
  • PRON 49: Ona su definirana Zakonom o radu “ , pojašnjava ona .
  • DET 4: ” Temeljna pravila , zvala se ona ustav ili temeljni zakoni , moraju biti usvojena i moraju trajati .
• ništa
  • PRON 45: S takvim stajalištima nećemo ništa moći promijeniti “ , zaključio je .
  • ADV 1: U modernim vremenima mi moramo činiti isto , ali naši heroji su muškarci od krvi i mesa , ali ništa manje epski junaci .
• oni
  • DET 37: Pederi su i oni koji se ne deru , HDZ ne zna .
  • PRON 32: Na izborima 16. ožujka , oni su se pridružili proeuropskoj većini .
• 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 .
• ono
  • PRON 32: Savez više nije ono što je bio tijekom hladnog rata .
  • DET 25: Evo , to je ono zbog čega si mi , usprkos svemu , simpatičan .
  • PART 1: Kad se ono dvije tisućite Ivica Račan , potpomognut Budišom , vratio na vlast , odmah se krenulo s kampanjom podizanja građanske svijesti , što je impliciralo i stanovite denuncijantske aktivnosti .
• je
  • AUX 6072: Esat Berisha je jedan takav primjer .
  • PRON 34: ” Jahta je spašena od kupovine nekoga tko bi je prodao u staro željezo .
• njega
  • PRON 30: Što više vjeruješ u njega , više te nagrađuje .
  • NOUN 1: Posljedice toga na svojoj koži prije svega osjećaju oni kojima je njega potrebna a to su stari i bolesni .

Morphology

The form / lemma ratio of PRON is 3.666667 (the average of all parts of speech is 1.848309).

The 1st highest number of forms (18) was observed with the lemma “on”: ga, je, joj, ju, mu, nj, nje, njega, njemu, njim, njime, njoj, njom, njome, nju, on, ona, ono.

The 2nd highest number of forms (7) was observed with the lemma “oni”: ih, im, njih, njima, ona, one, oni.

The 3rd highest number of forms (6) was observed with the lemma “ja”: ja, me, mene, meni, mi, mnom.

PRON occurs with 7 features: Case (5302; 100% instances), PronType (5302; 100% instances), Reflex (2899; 55% instances), Number (1589; 30% instances), Person (1588; 30% instances), Gender (1517; 29% instances), Animacy (1; 0% instances)

PRON occurs with 22 feature-value pairs: Animacy=Anim, Case=Acc, Case=Dat, Case=Gen, Case=Ins, Case=Loc, Case=Nom, Case=Voc, Gender=Fem, Gender=Masc, Gender=Neut, Number=Plur, Number=Sing, Person=1, Person=2, Person=3, PronType=Ind, PronType=Int,Rel, PronType=Neg, PronType=Prs, PronType=Tot, Reflex=Yes

PRON occurs with 80 feature combinations. The most frequent feature combination is Case=Acc|PronType=Prs|Reflex=Yes (2834 tokens). Examples: se, sebe

Relations

PRON nodes are attached to their parents using 24 different relations: expl (2356; 44% instances), obj (1304; 25% instances), nsubj (834; 16% instances), obl (328; 6% instances), iobj (259; 5% instances), nmod (89; 2% instances), conj (31; 1% instances), root (25; 0% instances), fixed (24; 0% instances), compound (10; 0% instances), ccomp (9; 0% instances), det (8; 0% instances), appos (4; 0% instances), parataxis (4; 0% instances), amod (3; 0% instances), discourse (3; 0% instances), acl (2; 0% instances), dep (2; 0% instances), dislocated (2; 0% instances), advcl (1; 0% instances), list (1; 0% instances), orphan (1; 0% instances), vocative (1; 0% instances), xcomp (1; 0% instances)

Parents of PRON nodes belong to 16 different parts of speech: VERB (4561; 86% instances), ADJ (273; 5% instances), NOUN (217; 4% instances), ADV (88; 2% instances), AUX (52; 1% instances), (25; 0% instances), DET (24; 0% instances), ADP (16; 0% instances), PRON (13; 0% instances), PROPN (11; 0% instances), PART (8; 0% instances), NUM (7; 0% instances), SYM (3; 0% instances), X (2; 0% instances), CCONJ (1; 0% instances), SCONJ (1; 0% instances)

4702 (89%) PRON nodes are leaves.

464 (9%) PRON nodes have one child.

73 (1%) PRON nodes have two children.

63 (1%) PRON nodes have three or more children.

The highest child degree of a PRON node is 9.

Children of PRON nodes are attached using 25 different relations: case (367; 42% instances), punct (67; 8% instances), acl (66; 8% instances), amod (49; 6% instances), discourse (45; 5% instances), conj (37; 4% instances), nmod (36; 4% instances), cop (34; 4% instances), advmod (33; 4% instances), nsubj (32; 4% instances), cc (30; 3% instances), nummod:gov (19; 2% instances), appos (13; 1% instances), det:numgov (9; 1% instances), mark (9; 1% instances), parataxis (8; 1% instances), det (6; 1% instances), aux (5; 1% instances), fixed (3; 0% instances), flat (3; 0% instances), advcl (1; 0% instances), obj (1; 0% instances), obl (1; 0% instances), orphan (1; 0% instances), vocative (1; 0% instances)

Children of PRON nodes belong to 16 different parts of speech: ADP (359; 41% instances), NOUN (90; 10% instances), PUNCT (67; 8% instances), ADJ (62; 7% instances), VERB (55; 6% instances), CCONJ (44; 5% instances), AUX (40; 5% instances), ADV (38; 4% instances), PART (28; 3% instances), DET (25; 3% instances), NUM (18; 2% instances), PROPN (18; 2% instances), SCONJ (17; 2% instances), PRON (13; 1% instances), INTJ (1; 0% instances), SYM (1; 0% instances)

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