home edit page issue tracker

This page pertains to UD version 2.

Treebank Statistics: UD_Russian-Taiga: POS Tags: AUX

There are 3 AUX lemmas (0%), 20 AUX types (0%) and 1574 AUX tokens (1%). Out of 17 observed tags, the rank of AUX is: 17 in number of lemmas, 17 in number of types and 14 in number of tokens.

The 10 most frequent AUX lemmas: быть, бы, б

The 10 most frequent AUX types: бы, было, был, будет, есть, была, были, быть, будут, буду

The 10 most frequent ambiguous lemmas: быть (AUX 1316, VERB 789), бы (AUX 249, PART 59), б (AUX 9, NOUN 1)

The 10 most frequent ambiguous types: бы (AUX 247, PART 59, X 21), было (AUX 230, VERB 74, PART 2), был (AUX 182, VERB 32), будет (AUX 161, VERB 15), есть (VERB 403, AUX 144), была (AUX 117, VERB 27), были (AUX 119, VERB 15), быть (AUX 112, VERB 57), будут (AUX 46, VERB 3), б (AUX 11, NOUN 1, X 1)

Morphology

The form / lemma ratio of AUX is 6.666667 (the average of all parts of speech is 1.879397).

The 1st highest number of forms (18) was observed with the lemma “быть”: будем, будет, будете, будешь, будте, буду, будут, будучи, будь, будьте, бывшая, бывший, был, была, были, было, быть, есть.

The 2nd highest number of forms (2) was observed with the lemma “бы”: б, бы.

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

AUX occurs with 10 features: Mood (1451; 92% instances), VerbForm (1316; 84% instances), Voice (1316; 84% instances), Number (1195; 76% instances), Tense (1189; 76% instances), Aspect (999; 63% instances), Gender (586; 37% instances), Person (477; 30% instances), Case (2; 0% instances), Typo (1; 0% instances)

AUX occurs with 22 feature-value pairs: Aspect=Imp, Case=Nom, Gender=Fem, Gender=Masc, Gender=Neut, Mood=Cnd, Mood=Imp, Mood=Ind, Number=Plur, Number=Sing, Person=1, Person=2, Person=3, Tense=Fut, Tense=Past, Tense=Pres, Typo=Yes, VerbForm=Conv, VerbForm=Fin, VerbForm=Inf, VerbForm=Part, Voice=Act

AUX occurs with 21 feature combinations. The most frequent feature combination is Mood=Cnd (258 tokens). Examples: бы, б

Relations

AUX nodes are attached to their parents using 17 different relations: cop (799; 51% instances), aux (431; 27% instances), aux:pass (154; 10% instances), root (100; 6% instances), conj (35; 2% instances), advcl (10; 1% instances), fixed (10; 1% instances), ccomp (9; 1% instances), acl:relcl (8; 1% instances), xcomp (5; 0% instances), parataxis (4; 0% instances), orphan (3; 0% instances), csubj (2; 0% instances), appos (1; 0% instances), case (1; 0% instances), dep (1; 0% instances), mark (1; 0% instances)

Parents of AUX nodes belong to 14 different parts of speech: VERB (615; 39% instances), NOUN (330; 21% instances), ADJ (315; 20% instances), (100; 6% instances), PRON (79; 5% instances), ADV (49; 3% instances), NUM (27; 2% instances), DET (26; 2% instances), PROPN (20; 1% instances), PART (8; 1% instances), INTJ (2; 0% instances), AUX (1; 0% instances), SCONJ (1; 0% instances), SYM (1; 0% instances)

1399 (89%) AUX nodes are leaves.

13 (1%) AUX nodes have one child.

37 (2%) AUX nodes have two children.

125 (8%) AUX nodes have three or more children.

The highest child degree of a AUX node is 9.

Children of AUX nodes are attached using 17 different relations: punct (141; 25% instances), nsubj (123; 22% instances), advmod (107; 19% instances), obl (84; 15% instances), conj (42; 7% instances), cc (19; 3% instances), parataxis (19; 3% instances), mark (15; 3% instances), csubj (5; 1% instances), advcl (4; 1% instances), iobj (3; 1% instances), discourse (2; 0% instances), fixed (2; 0% instances), aux (1; 0% instances), det (1; 0% instances), nmod (1; 0% instances), obj (1; 0% instances)

Children of AUX nodes belong to 15 different parts of speech: NOUN (146; 26% instances), PUNCT (141; 25% instances), ADV (86; 15% instances), PRON (60; 11% instances), VERB (51; 9% instances), PART (27; 5% instances), CCONJ (19; 3% instances), SCONJ (15; 3% instances), ADJ (10; 2% instances), DET (4; 1% instances), NUM (4; 1% instances), PROPN (3; 1% instances), SYM (2; 0% instances), ADP (1; 0% instances), AUX (1; 0% instances)