home edit page issue tracker

This page pertains to UD version 2.

Treebank Statistics: UD_Czech-PUD: POS Tags: PRON

There are 18 PRON lemmas (0%), 68 PRON types (1%) and 579 PRON tokens (3%). Out of 15 observed tags, the rank of PRON is: 11 in number of lemmas, 8 in number of types and 11 in number of tokens.

The 10 most frequent PRON lemmas: se, on, já, což, jenž, co, něco, nic, kdo, někdo

The 10 most frequent PRON types: se, si, co, což, ho, nich, ní, jí, mu, mě

The 10 most frequent ambiguous lemmas: on (PRON 101, ADP 1), jenž (PRON 19, DET 8), co (PRON 18, SCONJ 17, ADV 1), I (NUM 5, PRON 1), ten (DET 180, ADV 2, PRON 1), you (NOUN 1, PRON 1)

The 10 most frequent ambiguous types: se (PRON 304, ADP 14), co (SCONJ 17, PRON 14, ADV 1), je (AUX 138, VERB 14, PRON 5), You (NOUN 1, PRON 1), jehož (DET 3, PRON 1)

Morphology

The form / lemma ratio of PRON is 3.777778 (the average of all parts of speech is 1.427665).

The 1st highest number of forms (20) was observed with the lemma “on”: ho, je, ji, jich, jim, jí, jím, mu, nich, nimi, ní, ním, ně, něho, něj, něm, němu, on, ona, oni.

The 2nd highest number of forms (8) was observed with the lemma “jenž”: jehož, jenž, jež, nichž, nimž, niž, níž, něhož.

The 3rd highest number of forms (5) was observed with the lemma “já”: já, mi, mě, nám, nás.

PRON occurs with 10 features: PronType (579; 100% instances), Case (577; 100% instances), Variant (379; 65% instances), Reflex (354; 61% instances), Number (153; 26% instances), Person (128; 22% instances), Gender (106; 18% instances), PrepCase (64; 11% instances), Animacy (36; 6% instances), Foreign (2; 0% instances)

PRON occurs with 28 feature-value pairs: Animacy=Anim, Animacy=Inan, Case=Acc, Case=Dat, Case=Gen, Case=Ins, Case=Loc, Case=Nom, Foreign=Yes, Gender=Fem, Gender=Masc, Gender=Masc,Neut, Gender=Neut, Number=Plur, Number=Sing, Person=1, Person=2, Person=3, PrepCase=Npr, PrepCase=Pre, PronType=Ind, PronType=Int,Rel, PronType=Neg, PronType=Prs, PronType=Rel, PronType=Tot, Reflex=Yes, Variant=Short

PRON occurs with 80 feature combinations. The most frequent feature combination is Case=Acc|PronType=Prs|Reflex=Yes|Variant=Short (304 tokens). Examples: se

Relations

PRON nodes are attached to their parents using 19 different relations: expl:pv (240; 41% instances), obj (78; 13% instances), nsubj (53; 9% instances), obl (52; 9% instances), obl:arg (49; 8% instances), expl:pass (45; 8% instances), nmod (34; 6% instances), det (6; 1% instances), iobj (4; 1% instances), conj (3; 1% instances), root (3; 1% instances), fixed (2; 0% instances), flat (2; 0% instances), nsubj:pass (2; 0% instances), orphan (2; 0% instances), acl (1; 0% instances), acl:relcl (1; 0% instances), advcl (1; 0% instances), obl:agent (1; 0% instances)

Parents of PRON nodes belong to 10 different parts of speech: VERB (502; 87% instances), ADJ (32; 6% instances), NOUN (28; 5% instances), ADV (3; 1% instances), DET (3; 1% instances), NUM (3; 1% instances), (3; 1% instances), ADP (2; 0% instances), PRON (2; 0% instances), PROPN (1; 0% instances)

480 (83%) PRON nodes are leaves.

84 (15%) PRON nodes have one child.

6 (1%) PRON nodes have two children.

9 (2%) PRON nodes have three or more children.

The highest child degree of a PRON node is 5.

Children of PRON nodes are attached using 17 different relations: case (75; 57% instances), amod (11; 8% instances), cop (7; 5% instances), punct (7; 5% instances), nmod (5; 4% instances), nsubj (5; 4% instances), acl (3; 2% instances), acl:relcl (3; 2% instances), cc (3; 2% instances), advmod:emph (2; 2% instances), det:numgov (2; 2% instances), fixed (2; 2% instances), mark (2; 2% instances), obl (2; 2% instances), conj (1; 1% instances), det (1; 1% instances), obl:arg (1; 1% instances)

Children of PRON nodes belong to 13 different parts of speech: ADP (73; 55% instances), ADJ (12; 9% instances), NOUN (11; 8% instances), AUX (7; 5% instances), PUNCT (7; 5% instances), DET (6; 5% instances), CCONJ (4; 3% instances), ADV (3; 2% instances), SCONJ (3; 2% instances), PRON (2; 2% instances), PROPN (2; 2% instances), NUM (1; 1% instances), VERB (1; 1% instances)