Treebank Statistics: UD_Sanskrit-UFAL: POS Tags: PRON
There are 18 PRON lemmas (2%), 75 PRON types (7%) and 179 PRON tokens (10%).
Out of 16 observed tags, the rank of PRON is: 6 in number of lemmas, 5 in number of types and 5 in number of tokens.
The 10 most frequent PRON lemmas: तद्, अहम्, यद्, एतद्, त्वद्, किम्, अस्मद्, भवत्, इदम्, अदस्
The 10 most frequent PRON types: अहम्, तत्, तस्य, मम, किम्, स, सः, भवान्, मया, एतत्
The 10 most frequent ambiguous lemmas: तद् (PRON 59, DET 31, ADV 9), यद् (PRON 16, DET 5, SCONJ 1), एतद् (PRON 11, DET 5), किम् (PRON 10, DET 6, PART 2), इदम् (DET 9, PRON 7), अदस् (PRON 3, DET 2), एन (DET 2, PRON 2), सर्व (DET 3, ADJ 2, PRON 2), किम्-चिद् (DET 4, ADV 1, PRON 1), स्व (DET 1, PRON 1)
The 10 most frequent ambiguous types: तत् (PRON 13, DET 10, ADV 4), तस्य (PRON 10, DET 2), किम् (PRON 7, DET 2, PART 2), स (PRON 6, DET 3), सः (PRON 6, DET 1), एतत् (PRON 4, DET 1), अयम् (DET 3, PRON 3), असौ (PRON 3, DET 2), तस्मात् (PRON 3, DET 1), इदम् (DET 4, PRON 2)
- तत्
- तस्य
- किम्
- स
- सः
- एतत्
- अयम्
- असौ
- तस्मात्
- इदम्
Morphology
The form / lemma ratio of PRON is 4.166667 (the average of all parts of speech is 1.347458).
The 1st highest number of forms (19) was observed with the lemma “तद्”: तत्, तद्, तम्, तया, तयोर्, तस्मात्, तस्मै, तस्य, तस्याः, तानि, तान्, ते, तेन, तेषाम्, तौ, स, सः, सह्, सा.
The 2nd highest number of forms (9) was observed with the lemma “यद्”: य, यं, यः, यत्, यस्य, यस्या, या, येन, यो.
The 3rd highest number of forms (8) was observed with the lemma “अहम्”: अस्मत्, अस्माकम्, अस्माभिः, अहं, अहम्, मम, मया, मे.
PRON occurs with 9 features: PronType (177; 99% instances), Case (170; 95% instances), Number (169; 94% instances), Gender (120; 67% instances), Person (74; 41% instances), Polite (10; 6% instances), Compound (9; 5% instances), Poss (7; 4% instances), Reflex (2; 1% instances)
PRON occurs with 26 feature-value pairs: Case=Abl, Case=Acc, Case=Dat, Case=Gen, Case=Ins, Case=Loc, Case=Nom, Compound=Yes, Gender=Fem, Gender=Masc, Gender=Neut, Number=Dual, Number=Plur, Number=Sing, Person=1, Person=2, Person=3, Polite=Form, Poss=Yes, PronType=Dem, PronType=Ind, PronType=Int, PronType=Prs, PronType=Rel, PronType=Tot, Reflex=Yes
PRON occurs with 71 feature combinations.
The most frequent feature combination is Case=Nom|Gender=Masc|Number=Sing|PronType=Dem (19 tokens).
Examples: स, सः, अयम्, असौ, सह्
Relations
PRON nodes are attached to their parents using 16 different relations: nsubj (60; 34% instances), nmod:poss (29; 16% instances), obj (20; 11% instances), obl (13; 7% instances), nmod (10; 6% instances), nsubj:pass (10; 6% instances), obl:agent (10; 6% instances), det (6; 3% instances), iobj (6; 3% instances), acl (4; 2% instances), nsubj:cop (4; 2% instances), conj (2; 1% instances), root (2; 1% instances), acl:relcl (1; 1% instances), amod (1; 1% instances), vocative (1; 1% instances)
Parents of PRON nodes belong to 8 different parts of speech: VERB (100; 56% instances), NOUN (58; 32% instances), ADJ (8; 4% instances), PRON (6; 3% instances), ADV (3; 2% instances), (2; 1% instances), DET (1; 1% instances), NUM (1; 1% instances)
158 (88%) PRON nodes are leaves.
16 (9%) PRON nodes have one child.
3 (2%) PRON nodes have two children.
2 (1%) PRON nodes have three or more children.
The highest child degree of a PRON node is 4.
Children of PRON nodes are attached using 16 different relations: nsubj:cop (6; 20% instances), acl (4; 13% instances), advcl (2; 7% instances), advmod:emph (2; 7% instances), amod (2; 7% instances), conj (2; 7% instances), nsubj (2; 7% instances), punct (2; 7% instances), acl:relcl (1; 3% instances), advmod (1; 3% instances), case (1; 3% instances), ccomp (1; 3% instances), cop (1; 3% instances), det (1; 3% instances), flat (1; 3% instances), orphan (1; 3% instances)
Children of PRON nodes belong to 10 different parts of speech: NOUN (12; 40% instances), PRON (6; 20% instances), ADJ (2; 7% instances), PART (2; 7% instances), PUNCT (2; 7% instances), VERB (2; 7% instances), ADP (1; 3% instances), ADV (1; 3% instances), AUX (1; 3% instances), PROPN (1; 3% instances)