Treebank Statistics: UD_English-EWT: POS Tags: PRON
There are 54 PRON
lemmas (0%), 93 PRON
types (0%) and 22966 PRON
tokens (9%).
Out of 17 observed tags, the rank of PRON
is: 13 in number of lemmas, 11 in number of types and 4 in number of tokens.
The 10 most frequent PRON
lemmas: I, you, it, they, we, he, my, that, she, this
The 10 most frequent PRON
types: i, you, it, they, my, we, that, he, your, me
The 10 most frequent ambiguous lemmas: I (PRON 5048, PROPN 1), you (PRON 3602, NOUN 1), it (PRON 2294, NOUN 10), we (PRON 1770, NOUN 2), he (PRON 1717, INTJ 2), my (PRON 1112, INTJ 2), that (SCONJ 1188, PRON 1078, DET 308, ADV 19), this (DET 1109, PRON 550, ADV 5, NOUN 1), what (PRON 504, DET 79), there (PRON 466, ADV 263)
The 10 most frequent ambiguous types: i (PRON 437, NUM 2, AUX 1), it (PRON 1811, ADP 1, ADV 1, SCONJ 1, VERB 1), my (PRON 942, INTJ 2, AUX 1), we (PRON 734, NOUN 1, VERB 1), that (SCONJ 1179, PRON 938, DET 199, ADV 19, ADP 1), he (PRON 702, DET 1, INTJ 1), this (DET 764, PRON 369, ADV 5, NOUN 1), what (PRON 381, DET 49, VERB 1), their (PRON 458, ADV 2), there (PRON 320, ADV 255)
- i
- it
- PRON 1811: That ‘s overstating it , I know .
- ADP 1: On top of that though they tried to charge us service charge just to rub it it ….
- ADV 1: Turns out the engine had no oil , and when oil was put it , it would just run out of the filter .
- 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 .
- VERB 1: What matters is how well trained he is , and how good your bond it .
- my
- we
- that
- SCONJ 1179: It is rumored that North Korea has at least a couple nuclear weapons .
- PRON 938: Right now that seems to be the US , EU , and IAEA .
- DET 199: I have sent your question re on line trading to that area .
- ADV 19: it ‘s passable as a pub , but the pizza is not that great .
- ADP 1: Dr Greenwalt fixed my neck from a snowboard injury and was way more effective that a regular doctor .
- he
- this
- what
- their
- there
Morphology
The form / lemma ratio of PRON
is 1.722222 (the average of all parts of speech is 1.228673).
The 1st highest number of forms (12) was observed with the lemma “they”: ‘em, em, the, thei, their, them, then, there, they, they’re, theyy, thier.
The 2nd highest number of forms (8) was observed with the lemma “we”: ’s, our, out, s, us, use, we, ’s.
The 3rd highest number of forms (8) was observed with the lemma “you”: Yo, u, ur, you, you’re, your, youre, yuor.
PRON
occurs with 10 features: PronType (21748; 95% instances), Person (18749; 82% instances), Number (16793; 73% instances), Case (15014; 65% instances), Gender (4835; 21% instances), Poss (3714; 16% instances), Reflex (158; 1% instances), Typo (104; 0% instances), Abbr (20; 0% instances), Style (18; 0% instances)
PRON
occurs with 24 feature-value pairs: Abbr=Yes
, 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=Emp
, PronType=Int
, PronType=Prs
, PronType=Rel
, Reflex=Yes
, Style=Arch
, Style=Coll
, Style=Expr
, Style=Slng
, Style=Vrnc
, Typo=Yes
PRON
occurs with 79 feature combinations.
The most frequent feature combination is Case=Nom|Number=Sing|Person=1|PronType=Prs
(4295 tokens).
Examples: i
Relations
PRON
nodes are attached to their parents using 26 different relations: nsubj (12838; 56% instances), nmod:poss (3706; 16% instances), obj (2901; 13% instances), obl (986; 4% instances), expl (742; 3% instances), nsubj:pass (549; 2% instances), iobj (394; 2% instances), nmod (368; 2% instances), conj (166; 1% instances), root (124; 1% instances), ccomp (34; 0% instances), nmod:npmod (29; 0% instances), parataxis (26; 0% instances), advcl (20; 0% instances), obl:npmod (18; 0% instances), appos (16; 0% instances), det (11; 0% instances), xcomp (9; 0% instances), acl (6; 0% instances), det:predet (5; 0% instances), acl:relcl (4; 0% instances), compound (4; 0% instances), reparandum (4; 0% instances), vocative (4; 0% instances), csubj (1; 0% instances), list (1; 0% instances)
Parents of PRON
nodes belong to 14 different parts of speech: VERB (15400; 67% instances), NOUN (5059; 22% instances), ADJ (1608; 7% instances), PROPN (174; 1% instances), ADV (164; 1% instances), PRON (149; 1% instances), (124; 1% instances), AUX (121; 1% instances), NUM (80; 0% instances), DET (60; 0% instances), SYM (14; 0% instances), ADP (11; 0% instances), INTJ (1; 0% instances), X (1; 0% instances)
20723 (90%) PRON
nodes are leaves.
1654 (7%) PRON
nodes have one child.
319 (1%) PRON
nodes have two children.
270 (1%) PRON
nodes have three or more children.
The highest child degree of a PRON
node is 11.
Children of PRON
nodes are attached using 32 different relations: case (1422; 42% instances), acl:relcl (319; 9% instances), punct (252; 8% instances), cop (176; 5% instances), nsubj (174; 5% instances), nmod (167; 5% instances), cc (165; 5% instances), amod (137; 4% instances), conj (133; 4% instances), advmod (112; 3% instances), acl (72; 2% instances), det (54; 2% instances), appos (37; 1% instances), mark (37; 1% instances), advcl (19; 1% instances), parataxis (19; 1% instances), aux (18; 1% instances), obl (15; 0% instances), discourse (5; 0% instances), goeswith (5; 0% instances), cc:preconj (4; 0% instances), csubj (3; 0% instances), nmod:npmod (3; 0% instances), compound (2; 0% instances), expl (2; 0% instances), flat (2; 0% instances), dislocated (1; 0% instances), nmod:poss (1; 0% instances), nummod (1; 0% instances), obl:npmod (1; 0% instances), reparandum (1; 0% instances), vocative (1; 0% instances)
Children of PRON
nodes belong to 17 different parts of speech: ADP (1344; 40% instances), VERB (401; 12% instances), NOUN (289; 9% instances), PUNCT (252; 8% instances), AUX (202; 6% instances), CCONJ (162; 5% instances), ADJ (158; 5% instances), PRON (149; 4% instances), SCONJ (98; 3% instances), ADV (91; 3% instances), PROPN (80; 2% instances), DET (64; 2% instances), PART (46; 1% instances), SYM (7; 0% instances), INTJ (6; 0% instances), X (6; 0% instances), NUM (5; 0% instances)