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PRON: pronoun

PRON is used for English pronouns, such as we, her, it, who, and that when used as a relative pronoun.

The English PRON corresponds to the PTB PRP, PRP$, WP, WP$, EX, and certain things that are tagged DT (question and Wh pronouns, such as who, this, and that), when they comprise a nominal by themselves rather than functioning as the determiner of a nominal head (usually a noun). (The assignment of PRP$ and WP$ to PRON might be subject to revision - they could also become DET.)

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Treebank Statistics (UD_English)

There are 71 PRON lemmas (0%), 79 PRON types (0%) and 21228 PRON tokens (8%). Out of 17 observed tags, the rank of PRON is: 13 in number of lemmas, 12 in number of types and 5 in number of tokens.

The 10 most frequent PRON lemmas: i, you, it, they, we, he, my, she, this, what

The 10 most frequent PRON types: i, you, it, they, my, we, he, your, me, this

The 10 most frequent ambiguous lemmas: i (PRON 437, NUM 5, X 2), you (PRON 3582, NOUN 1), it (PRON 2278, NOUN 10, ADV 1, VERB 1, ADP 1, SCONJ 1), we (PRON 1743, NOUN 2, VERB 1), he (PRON 1722, INTJ 2, DET 1), my (PRON 1112, INTJ 2, X 2, AUX 1), this (DET 908, PRON 506, ADV 5, NOUN 1), what (PRON 502, DET 79, VERB 1, X 1), there (PRON 468, ADV 267, X 1), that (SCONJ 1160, DET 876, PRON 355, ADV 44, ADP 4)

The 10 most frequent ambiguous types: i (PRON 437, X 2, NUM 1), it (PRON 1812, ADV 1, VERB 1, ADP 1, SCONJ 1), my (PRON 940, INTJ 2, X 2, AUX 1), we (PRON 734, NOUN 1, VERB 1), he (PRON 702, INTJ 1, DET 1), your (PRON 758, X 1), this (DET 764, PRON 369, ADV 5, NOUN 1), what (PRON 380, DET 49, VERB 1, X 1), their (PRON 458, ADV 2), there (PRON 313, ADV 261, X 1)

• i
  • PRON 437: i am not going unless lisa promises to get all wasted and boob out .
  • X 2: Just to let you all know Matt has confirmed the booking for 3rd Dec i s OK .
  • NUM 1: Also , add a semicolon at the end of clause ( i ) .
• it
  • PRON 1812: That ‘s overstating it , I know .
  • ADV 1: Turns out the engine had no oil , and when oil was put it , it would just run out of the filter .
  • VERB 1: What matters is how well trained he is , and how good your bond it .
  • ADP 1: On top of that though they tried to charge us service charge just to rub it it ….
  • SCONJ 1: That sounds like a BS excuse from ECS , but it that ‘s what they are saying , let me know and we can figure out a solution .
• my
  • PRON 940: I was on my way to my wedding fearing death , basically . “
  • INTJ 2: Oh my , you asked this question at the perfect time .
  • X 2: I my self am one but appreciate that the organization is unlikely to make into the 22nd century .
  • AUX 1: This Fallujah operation my turn out to be the most important operation done by the US Military since the end of the war .
• we
  • PRON 734: Yet we did n’t charge them for the evacuation .
  • NOUN 1: He ‘s dropping we
  • VERB 1: Both the engagement and wedding pictures that he took for us we absolutely amazing .
• he
  • PRON 702: So he ‘s got a – I ‘m a decision - maker and I can make good decisions .
  • INTJ 1: He - he .
  • DET 1: Great Limos company int he DFW fort Worth Metro area .
• your
  • PRON 758: Deal your meal from where the dishes are located .
  • X 1: Do your self a favor and do not go to this establishment .
• this
  • DET 764: From the AP comes this story :
  • PRON 369: He announced this in January :
  • ADV 5: do babies this small hibernate ?
  • NOUN 1: Also , in the 7th line of the reps add the word “ into “ after the word “ entered “ and before the word “ this “ .
• what
  • PRON 380: And what do we get for this effort ?
  • DET 49: Please let me know what time we could meet .
  • VERB 1: $ometime$ it is hard to explain that you are making an INTERNATIONAL call and all of the phone companie $involved what $ome of your money .
  • X 1: I am still sure that UT is the place for getting an excellent graduate - level education , so I want you to know that I am going to do what ever it takes to get in next year .
• their
  • PRON 458: When they saw a cartoon of their prophet , people had to die .
  • ADV 2: Thirdly , just put your hand in his cge ans leave it their .
• there
  • PRON 313: Read the entire article ; there ‘s a punchline , too .
  • ADV 261: I look forward to seeing you all there .
  • X 1: So they see the pictures flicker slower and there for it seems choppy to them .

Morphology

The form / lemma ratio of PRON is 1.112676 (the average of all parts of speech is 1.173588).

The 1st highest number of forms (3) was observed with the lemma “he”: he, him, his.

The 2nd highest number of forms (3) was observed with the lemma “they”: their, them, they.

The 3rd highest number of forms (3) was observed with the lemma “we”: our, us, we.

PRON occurs with 8 features: en-feat/PronType (20569; 97% instances), en-feat/Person (18621; 88% instances), en-feat/Number (16019; 75% instances), en-feat/Case (14945; 70% instances), en-feat/Gender (4815; 23% instances), en-feat/Poss (3654; 17% instances), en-feat/Reflex (121; 1% instances), en-feat/Definite (1; 0% instances)

PRON occurs with 18 feature-value pairs: Case=Acc, Case=Nom, Definite=Def, Gender=Fem, Gender=Masc, Gender=Neut, Number=Plur, Number=Sing, Person=1, Person=2, Person=3, Poss=Yes, PronType=Art, PronType=Dem, PronType=Int, PronType=Prs, PronType=Rel, Reflex=Yes

PRON occurs with 44 feature combinations. The most frequent feature combination is Case=Nom|Number=Sing|Person=1|PronType=Prs (4296 tokens). Examples: i

Relations

PRON nodes are attached to their parents using 26 different relations: en-dep/nsubj (12140; 57% instances), en-dep/nmod:poss (3693; 17% instances), en-dep/dobj (2331; 11% instances), en-dep/nmod (1161; 5% instances), en-dep/expl (724; 3% instances), en-dep/nsubjpass (428; 2% instances), en-dep/iobj (386; 2% instances), en-dep/conj (119; 1% instances), en-dep/root (93; 0% instances), en-dep/nmod:npmod (44; 0% instances), en-dep/ccomp (26; 0% instances), en-dep/advcl (16; 0% instances), en-dep/parataxis (15; 0% instances), en-dep/det (14; 0% instances), en-dep/appos (8; 0% instances), en-dep/xcomp (7; 0% instances), en-dep/acl:relcl (4; 0% instances), en-dep/compound (4; 0% instances), en-dep/reparandum (4; 0% instances), en-dep/det:predet (3; 0% instances), en-dep/csubj (2; 0% instances), en-dep/vocative (2; 0% instances), en-dep/acl (1; 0% instances), en-dep/case (1; 0% instances), en-dep/mark (1; 0% instances), en-dep/remnant (1; 0% instances)

Parents of PRON nodes belong to 14 different parts of speech: VERB (14051; 66% instances), NOUN (4957; 23% instances), ADJ (1459; 7% instances), ADV (175; 1% instances), PROPN (172; 1% instances), ROOT (93; 0% instances), PRON (85; 0% instances), NUM (80; 0% instances), AUX (68; 0% instances), DET (63; 0% instances), ADP (11; 0% instances), SYM (11; 0% instances), SCONJ (2; 0% instances), INTJ (1; 0% instances)

19575 (92%) PRON nodes are leaves.

1239 (6%) PRON nodes have one child.

230 (1%) PRON nodes have two children.

184 (1%) PRON nodes have three or more children.

The highest child degree of a PRON node is 16.

Children of PRON nodes are attached using 33 different relations: en-dep/case (1205; 50% instances), en-dep/acl:relcl (203; 8% instances), en-dep/punct (170; 7% instances), en-dep/cop (133; 5% instances), en-dep/nsubj (133; 5% instances), en-dep/conj (121; 5% instances), en-dep/cc (113; 5% instances), en-dep/nmod (61; 3% instances), en-dep/advmod (60; 2% instances), en-dep/det (53; 2% instances), en-dep/appos (40; 2% instances), en-dep/advcl (30; 1% instances), en-dep/mark (23; 1% instances), en-dep/neg (13; 1% instances), en-dep/amod (10; 0% instances), en-dep/aux (9; 0% instances), en-dep/parataxis (8; 0% instances), en-dep/acl (6; 0% instances), en-dep/discourse (5; 0% instances), en-dep/nmod:npmod (5; 0% instances), en-dep/goeswith (4; 0% instances), en-dep/cc:preconj (3; 0% instances), en-dep/xcomp (3; 0% instances), en-dep/name (2; 0% instances), en-dep/remnant (2; 0% instances), en-dep/auxpass (1; 0% instances), en-dep/compound (1; 0% instances), en-dep/csubj (1; 0% instances), en-dep/dislocated (1; 0% instances), en-dep/nmod:poss (1; 0% instances), en-dep/nummod (1; 0% instances), en-dep/reparandum (1; 0% instances), en-dep/vocative (1; 0% instances)

Children of PRON nodes belong to 17 different parts of speech: ADP (1135; 47% instances), VERB (378; 16% instances), NOUN (199; 8% instances), PUNCT (175; 7% instances), CONJ (107; 4% instances), PRON (85; 4% instances), SCONJ (85; 4% instances), ADV (71; 3% instances), DET (65; 3% instances), PROPN (61; 3% instances), ADJ (19; 1% instances), PART (17; 1% instances), AUX (10; 0% instances), INTJ (5; 0% instances), NUM (5; 0% instances), X (5; 0% instances), SYM (1; 0% instances)

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PRON in other languages: [bg] [cs] [de] [el] [en] [es] [eu] [fa] [fi] [fr] [ga] [he] [hu] [it] [ja] [ko] [sv] [u]

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