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Treebank Statistics: UD_Croatian-SET: POS Tags: VERB

There are 2177 VERB lemmas (11%), 5442 VERB types (15%) and 17387 VERB tokens (9%). Out of 17 observed tags, the rank of VERB is: 4 in number of lemmas, 4 in number of types and 5 in number of tokens.

The 10 most frequent VERB lemmas: moći, imati, kazati, trebati, reći, morati, izjaviti, raditi, postojati, željeti

The 10 most frequent VERB types: može, izjavio, ima, rekao, kaže, kazao, treba, mogu, nema, mora

The 10 most frequent ambiguous lemmas: moći (VERB 703, NOUN 1), imati (VERB 473, ADV 6), kazati (VERB 408, ADV 4, ADJ 1), reći (VERB 258, ADV 6, ADJ 4), izjaviti (VERB 242, ADV 1), raditi (VERB 196, ADJ 1, ADV 1), željeti (VERB 154, ADV 1), dobiti (VERB 153, ADJ 1), očekivati (VERB 123, ADJ 5, ADV 1), smatrati (VERB 115, ADJ 1, ADV 1)

The 10 most frequent ambiguous types: mora (VERB 94, NOUN 20), radi (VERB 65, ADP 15, ADV 1), nalazi (VERB 42, NOUN 1), pomoći (VERB 38, NOUN 26), tvrdi (VERB 37, ADJ 3), nalaze (VERB 36, NOUN 1), iznosi (VERB 34, NOUN 1), dobiti (VERB 31, NOUN 10), koristi (VERB 29, NOUN 10), postaje (VERB 25, NOUN 8)

• mora
  • VERB 94: ” To mora prestati ! “
  • NOUN 20: Razgovarali su o sigurnosnim pitanjima u regiji Crnog mora .
• radi
  • VERB 65: Za razliku od konkurenata , iPad radi na operativnom sustavu iOS 3.2.2 .
  • ADP 15: Glasači će se 12. prosinca uputiti na birališta radi prijevremenih izbora .
  • ADV 1: Za sljedeću godinu planira se koncentracija na uvođenje novih funkcionalnosti u okviru postojećih usluga i općenito poboljšanje postojećih usluga radi njihova daljnjeg prilagođavanja zahtjevima korisnika .
• nalazi
  • VERB 42: Najzad , na najvišoj se razini nalazi Galerija Partenona .
  • NOUN 1: Ako se ne osjećate dobro u svom tijelu , a svi nalazi krvi pokazuju da ste zdravi , možda je balansiranje hormona pravo rješenje za vas .
• pomoći
  • VERB 38: Ako ih što zaboli , obrate se ljudima za koje vjeruju da će im pomoći .
  • NOUN 26: Svaka obitelj može dobiti do 500 eura pomoći .
• tvrdi
  • VERB 37: Država , tvrdi premijerka , i 2011. nastavlja politiku štednje .
  • ADJ 3: Sigurnosne kopije datoteka možete pohraniti na vanjski tvrdi disk , DVD , CD ili mrežnu mapu .
• nalaze
  • VERB 36: Pederi se brinu o nabavi drva za zimu , nalaze nekoga tko će ta drva iscijepati i posložiti .
  • NOUN 1: S obzirom na nova saznanja , tehnološki razvoj i zakonske zahtjeve , kontinuirano se provode dodatne kontrole sustava ( i potrebne aktivnosti s obzirom na nalaze ) i modernizacija sustava u cilju povećanja sigurnosti rada , smanjenja rizika i zaštite okoliša .
• iznosi
  • VERB 34: Pričinjena šteta samo na infrastrukturi iznosi oko 175 milijuna eura .
  • NOUN 1: Odgovor je to Vlade na zastupničko pitanje HNS-ove zastupnice Vesne Pusić koju su zanimali iznosi i strukture proračunskih troškova u prošloj godini na vjerske zajednice u Hrvatskoj .
• dobiti
  • VERB 31: ” Ako želite dobiti nešto [ kao manjina ] , morate to tražiti .
  • NOUN 10: Godinu ranije poslovao je s dobiti od 2,73 milijarde dolara .
• koristi
  • VERB 29: Posebice pogonom , dodao je , koji koristi zastarjelu rusku tehnologiju .
  • NOUN 10: Ali i alternativac bez nekih znanja može napraviti više štete nego koristi .
• postaje
  • VERB 25: Štoviše , postaje specijalni činovnik inspektora Kreila , s posebnim statusom .
  • NOUN 8: Ekstremisti osumnjičeni za napade na policijske postaje u Makedoniji

Morphology

The form / lemma ratio of VERB is 2.499770 (the average of all parts of speech is 1.848266).

The 1st highest number of forms (13) was observed with the lemma “imati”: ima, imaj, imaju, imala, imale, imali, imalo, imam, imamo, imao, imat, imate, imati.

The 2nd highest number of forms (13) was observed with the lemma “moći”: Nemojmo, mogao, mogla, mogle, mogli, moglo, mogu, moći, može, možemo, možete, možeš, nemojte.

The 3rd highest number of forms (13) was observed with the lemma “raditi”: rade, radi, radila, radile, radili, radilo, radim, radimo, radio, radit, radite, raditi, radiš.

VERB occurs with 7 features: VerbForm (17387; 100% instances), Number (14004; 81% instances), Tense (13785; 79% instances), Mood (7914; 46% instances), Person (7914; 46% instances), Gender (6090; 35% instances), Voice (6090; 35% instances)

VERB occurs with 16 feature-value pairs: Gender=Fem, Gender=Masc, Gender=Neut, Mood=Imp, Mood=Ind, Number=Plur, Number=Sing, Person=1, Person=2, Person=3, Tense=Past, Tense=Pres, VerbForm=Fin, VerbForm=Inf, VerbForm=Part, Voice=Act

VERB occurs with 17 feature combinations. The most frequent feature combination is Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin (4487 tokens). Examples: može, ima, kaže, treba, nema, mora, postoji, radi, očekuje, navodi

Relations

VERB nodes are attached to their parents using 23 different relations: root (6300; 36% instances), acl (2647; 15% instances), conj (2394; 14% instances), xcomp (1788; 10% instances), advcl (1362; 8% instances), ccomp (1244; 7% instances), parataxis (1220; 7% instances), csubj (279; 2% instances), nsubj (78; 0% instances), appos (16; 0% instances), obj (12; 0% instances), amod (10; 0% instances), nmod (9; 0% instances), flat (7; 0% instances), obl (5; 0% instances), list (4; 0% instances), case (2; 0% instances), dep (2; 0% instances), discourse (2; 0% instances), iobj (2; 0% instances), orphan (2; 0% instances), flat:foreign (1; 0% instances), vocative (1; 0% instances)

Parents of VERB nodes belong to 16 different parts of speech: VERB (6506; 37% instances), (6300; 36% instances), NOUN (2765; 16% instances), ADJ (936; 5% instances), ADV (284; 2% instances), DET (220; 1% instances), PROPN (147; 1% instances), AUX (144; 1% instances), PRON (54; 0% instances), NUM (15; 0% instances), PART (5; 0% instances), X (5; 0% instances), ADP (2; 0% instances), SCONJ (2; 0% instances), CCONJ (1; 0% instances), SYM (1; 0% instances)

237 (1%) VERB nodes are leaves.

1245 (7%) VERB nodes have one child.

2214 (13%) VERB nodes have two children.

13691 (79%) VERB nodes have three or more children.

The highest child degree of a VERB node is 11.

Children of VERB nodes are attached using 34 different relations: punct (11295; 17% instances), nsubj (10054; 15% instances), obl (9413; 14% instances), obj (8022; 12% instances), aux (6470; 10% instances), advmod (3965; 6% instances), mark (2997; 4% instances), xcomp (2538; 4% instances), conj (2482; 4% instances), expl (2327; 3% instances), cc (2278; 3% instances), ccomp (1551; 2% instances), advcl (1279; 2% instances), parataxis (1138; 2% instances), iobj (596; 1% instances), discourse (530; 1% instances), csubj (131; 0% instances), amod (88; 0% instances), case (39; 0% instances), nmod (25; 0% instances), vocative (17; 0% instances), acl (15; 0% instances), cop (14; 0% instances), compound (10; 0% instances), appos (5; 0% instances), flat (5; 0% instances), list (5; 0% instances), dep (4; 0% instances), det:numgov (4; 0% instances), dislocated (4; 0% instances), nummod:gov (4; 0% instances), det (3; 0% instances), fixed (3; 0% instances), nummod (3; 0% instances)

Children of VERB nodes belong to 17 different parts of speech: NOUN (20448; 30% instances), PUNCT (11295; 17% instances), AUX (6800; 10% instances), VERB (6506; 10% instances), PRON (4559; 7% instances), ADV (4133; 6% instances), PROPN (3161; 5% instances), SCONJ (2923; 4% instances), DET (2688; 4% instances), CCONJ (2236; 3% instances), ADJ (1282; 2% instances), PART (945; 1% instances), NUM (141; 0% instances), ADP (107; 0% instances), X (56; 0% instances), SYM (27; 0% instances), INTJ (7; 0% instances)

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