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Treebank Statistics: UD_English-PUD: POS Tags: PRON

There are 38 PRON lemmas (1%), 46 PRON types (1%) and 1044 PRON tokens (5%). Out of 17 observed tags, the rank of PRON is: 8 in number of lemmas, 8 in number of types and 8 in number of tokens.

The 10 most frequent PRON lemmas: it, he, his, that, they, which, their, I, who, its

The 10 most frequent PRON types: it, he, his, that, which, their, they, I, who, her

The 10 most frequent ambiguous lemmas: that (PRON 81, SCONJ 75, DET 19), which (PRON 62, DET 3), I (PRON 53, NUM 6), there (PRON 35, ADV 10), this (DET 72, PRON 32), one (NUM 39, NOUN 7, PRON 1), where (ADV 18, PRON 1)

The 10 most frequent ambiguous types: that (SCONJ 75, PRON 69, DET 12), which (PRON 62, DET 3), I (PRON 48, NUM 6), there (PRON 20, ADV 10), this (DET 41, PRON 13), those (PRON 5, DET 4), these (DET 13, PRON 2), One (NUM 3, NOUN 1, PRON 1), where (ADV 17, PRON 1), ’s (PART 15, AUX 10, PRON 1, VERB 1, X 1)

• that
  • SCONJ 75: A witness told police that the victim had attacked the suspect in April .
  • PRON 69: I can just do that with my life .
  • DET 12: He has got that hard edge to his game but also the soft hands .
• which
  • PRON 62: It contains a tiny lagoon , which has all but dried up .
  • DET 3: It is now only unclear , in which one .
• I
  • PRON 48: ” I ‘m going to jail either way , hope it was worth it . “
  • NUM 6: Their first king was Mojmír I ( ruled 830 – 846 ) .
• there
  • PRON 20: Still , there are questions left unanswered .
  • ADV 10: A keen guitarist , he played a concert there the same year .
• this
  • DET 41: Investments in this area were up by 6 % in 2015 to $ 221 bn .
  • PRON 13: Fast forward to 2016 and this is increasingly worthy of attention .
• those
  • PRON 5: Enough of those , in a highly contested area , will lead to chaos election day .
  • DET 4: ” Some men get it and Bono is one of those guys , “ Leive said in a recent interview .
• these
  • DET 13: Our cellphones are so much more than phones these days .
  • PRON 2: Only a handful of them ( earldoms ) had existed under Henry I and these had been largely symbolic .
• One
  • NUM 3: One of his last means of placing pressure on Hungary was the threat of imposing general and free elections .
  • NOUN 1: One does n’t know in which way both dramatists would have worked together .
  • PRON 1: One expects a bump from the booming real estate market and increasing federal expenditures .
• where
  • ADV 17: Barrie enrolled at the University of Edinburgh where he wrote drama reviews for the Edinburgh Evening Courant .
  • PRON 1: Snowman would jump the high fencing that separated the two properties and always return to where he felt was home .
• ’s
  • PART 15: The new spending is fueled by Clinton ’s large bank account .
  • AUX 10: He ’s spoken in favour of torture .
  • PRON 1: Let ’s just say he ’s wrong .
  • VERB 1: I think that ’s why they immersed themselves in pattern and colour .
  • X 1: In 2010 , the foundation released a typeset edition of “ Zettel ’s Traum , ” removing the bar to entry for those who balked at the draft - like feel of the photo - offset .

Morphology

The form / lemma ratio of PRON is 1.210526 (the average of all parts of speech is 1.151116).

The 1st highest number of forms (3) was observed with the lemma “we”: us, we, ’s.

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

The 3rd highest number of forms (2) was observed with the lemma “he”: he, him.

PRON occurs with 8 features: PronType (1006; 96% instances), Number (790; 76% instances), Person (743; 71% instances), Case (485; 46% instances), Gender (482; 46% instances), Poss (260; 25% instances), Reflex (10; 1% instances), Style (1; 0% instances)

PRON occurs with 20 feature-value pairs: Case=Acc, Case=Nom, Gender=Fem, Gender=Masc, Gender=Neut, Number=Plur, Number=Sing, Person=1, Person=2, Person=3, Poss=Yes, PronType=Dem, PronType=Ind, PronType=Int, PronType=Neg, PronType=Prs, PronType=Rel, PronType=Tot, Reflex=Yes, Style=Coll

PRON occurs with 38 feature combinations. The most frequent feature combination is PronType=Rel (154 tokens). Examples: which, that, who, whoever

Relations

PRON nodes are attached to their parents using 14 different relations: nsubj (488; 47% instances), nmod:poss (260; 25% instances), obj (79; 8% instances), expl (62; 6% instances), nsubj:pass (61; 6% instances), obl (58; 6% instances), nmod (18; 2% instances), root (6; 1% instances), conj (3; 0% instances), iobj (3; 0% instances), nmod:unmarked (3; 0% instances), acl:relcl (1; 0% instances), appos (1; 0% instances), reparandum (1; 0% instances)

Parents of PRON nodes belong to 13 different parts of speech: VERB (625; 60% instances), NOUN (318; 30% instances), ADJ (65; 6% instances), AUX (8; 1% instances), PRON (6; 1% instances), (6; 1% instances), PROPN (5; 0% instances), ADV (4; 0% instances), DET (3; 0% instances), ADP (1; 0% instances), NUM (1; 0% instances), SYM (1; 0% instances), X (1; 0% instances)

937 (90%) PRON nodes are leaves.

79 (8%) PRON nodes have one child.

18 (2%) PRON nodes have two children.

10 (1%) PRON nodes have three or more children.

The highest child degree of a PRON node is 5.

Children of PRON nodes are attached using 15 different relations: case (77; 52% instances), acl:relcl (15; 10% instances), nmod (10; 7% instances), cop (7; 5% instances), punct (7; 5% instances), advmod (6; 4% instances), nsubj (6; 4% instances), acl (4; 3% instances), cc (4; 3% instances), conj (4; 3% instances), amod (3; 2% instances), appos (3; 2% instances), aux (1; 1% instances), nmod:unmarked (1; 1% instances), reparandum (1; 1% instances)

Children of PRON nodes belong to 13 different parts of speech: ADP (77; 52% instances), NOUN (14; 9% instances), VERB (14; 9% instances), AUX (10; 7% instances), PUNCT (7; 5% instances), PRON (6; 4% instances), ADJ (5; 3% instances), PROPN (5; 3% instances), ADV (4; 3% instances), CCONJ (3; 2% instances), PART (2; 1% instances), DET (1; 1% instances), NUM (1; 1% instances)

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