Treebank Statistics: UD_Croatian-SET: POS Tags: SCONJ
There are 37 SCONJ lemmas (0%), 36 SCONJ types (0%) and 4930 SCONJ tokens (2%).
Out of 17 observed tags, the rank of SCONJ is: 10 in number of lemmas, 12 in number of types and 12 in number of tokens.
The 10 most frequent SCONJ lemmas: da, kako, kao, što, jer, dok, ako, iako, nakon, ukoliko
The 10 most frequent SCONJ types: da, kako, kao, što, jer, dok, ako, iako, nakon, ukoliko
The 10 most frequent ambiguous lemmas: da (SCONJ 1807, PART 11, X 5), kako (SCONJ 1084, ADV 71, PART 6, CCONJ 1), kao (SCONJ 640, ADP 1), što (PRON 562, SCONJ 277, PART 26, CCONJ 2), nakon (ADP 281, SCONJ 83), budući (SCONJ 44, ADJ 35), tako (ADV 145, SCONJ 42, PART 6), zato (SCONJ 36, ADV 34), li (PART 128, SCONJ 26), prije (ADP 142, ADV 37, SCONJ 22)
The 10 most frequent ambiguous types: da (SCONJ 1783, PART 3, X 2), kako (SCONJ 1047, ADV 57, PART 6, CCONJ 1), kao (SCONJ 590, ADP 1), što (PRON 444, SCONJ 277, PART 24, CCONJ 2), nakon (ADP 208, SCONJ 71), budući (SCONJ 23, ADJ 11), tako (ADV 119, SCONJ 42, PART 6), zato (SCONJ 34, ADV 16), li (PART 128, SCONJ 26), prije (ADP 122, ADV 35, SCONJ 22)
- da
- SCONJ 1783: ” Desetljeće kasnije , vidimo da je gospodarstvo užasno nestrukturirano .
- PART 3: O da .
- X 2: Na tu je snimku u montaži dodan njegov glas koji kaže : Uzoriti prvi ministre , Eduardo da Silva , broj 22 , najbolje zabija , na što premijer Sanader odgovara : Gospodine zastupniče , točno je ovo što ste kazali .
- kako
- SCONJ 1047: Bytyci kaže kako bi jači sindikati doveli do boljih ishoda .
- ADV 57: Ne znam kako drugima , no meni je ova godina započela nekako drugačije .
- PART 6: Smrt Stevea Jobsa , vlasnika svjetski poznate kompanije Apple duboko je potresla kako svjetsku tako i hrvatsku javnost .
- CCONJ 1: Koristite češalj sa širokim zupcima kako biste ujednačeno nanijeli tretman na vlažnu kosu .
- kao
- što
- PRON 444: Postoji li išta što je trajno ?
- SCONJ 277: ” Moj život nije kao što je bio prije .
- PART 24: Dapače , što je više servera u igri , opća situacija je bolja .
- CCONJ 2: Ne mogu reći da sam ozdravila , teško je čak i opisati tretmane što sam ih prolazila , ali više ne gutam tablete niti mi se događa da danima ne izlazim iz stana .
- nakon
- budući
- tako
- zato
- li
- prije
Morphology
The form / lemma ratio of SCONJ is 0.972973 (the average of all parts of speech is 1.848266).
The 1st highest number of forms (1) was observed with the lemma “ako”: ako.
The 2nd highest number of forms (1) was observed with the lemma “bez”: bez.
The 3rd highest number of forms (1) was observed with the lemma “budući”: budući.
SCONJ does not occur with any features.
Relations
SCONJ nodes are attached to their parents using 13 different relations: mark (3794; 77% instances), case (441; 9% instances), fixed (434; 9% instances), cc (234; 5% instances), discourse (18; 0% instances), obl (2; 0% instances), advcl (1; 0% instances), ccomp (1; 0% instances), conj (1; 0% instances), list (1; 0% instances), nmod (1; 0% instances), nsubj (1; 0% instances), root (1; 0% instances)
Parents of SCONJ nodes belong to 15 different parts of speech: VERB (2923; 59% instances), NOUN (779; 16% instances), ADJ (581; 12% instances), SCONJ (368; 7% instances), AUX (93; 2% instances), ADV (52; 1% instances), ADP (33; 1% instances), PROPN (31; 1% instances), DET (19; 0% instances), PRON (17; 0% instances), PART (16; 0% instances), CCONJ (11; 0% instances), NUM (5; 0% instances), (1; 0% instances), X (1; 0% instances)
4447 (90%) SCONJ nodes are leaves.
459 (9%) SCONJ nodes have one child.
23 (0%) SCONJ nodes have two children.
1 (0%) SCONJ nodes have three or more children.
The highest child degree of a SCONJ node is 5.
Children of SCONJ nodes are attached using 9 different relations: fixed (488; 96% instances), advmod (9; 2% instances), punct (6; 1% instances), conj (2; 0% instances), cc (1; 0% instances), discourse (1; 0% instances), expl (1; 0% instances), nmod (1; 0% instances), xcomp (1; 0% instances)
Children of SCONJ nodes belong to 9 different parts of speech: SCONJ (368; 72% instances), CCONJ (106; 21% instances), ADV (11; 2% instances), PART (10; 2% instances), PUNCT (6; 1% instances), ADP (4; 1% instances), NOUN (2; 0% instances), VERB (2; 0% instances), PRON (1; 0% instances)