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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 80 PRON lemmas (0%), 90 PRON types (0%) and 20795 PRON tokens (9%). Out of 17 observed tags, the rank of PRON is: 11 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, he, we, 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 354, X 2, NUM 1), you (PRON 3226, NOUN 1), it (PRON 2071, NOUN 10, ADP 1, VERB 1, ADV 1), he (PRON 1600, INTJ 2), we (PRON 1567, NOUN 2, VERB 1), my (PRON 1004, INTJ 2, X 2), that (SCONJ 1079, PRON 912, DET 201, ADV 41, ADP 4), this (DET 814, PRON 468, ADV 5, NOUN 1), what (PRON 444, DET 69, X 1), there (PRON 419, ADV 237, X 1)

The 10 most frequent ambiguous types: i (PRON 353, X 2, NUM 1), it (PRON 1642, SCONJ 1, VERB 1, ADV 1, ADP 1), my (PRON 851, INTJ 2, X 2), we (PRON 665, VERB 1, NOUN 1), that (SCONJ 1072, PRON 841, DET 183, ADV 40, ADP 4), he (PRON 652, INTJ 1), your (PRON 696, X 1), this (DET 687, PRON 339, ADV 5, NOUN 1), their (PRON 433, ADV 2), what (PRON 340, DET 44, VERB 1, X 1)

• i
  • PRON 353: 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 1642: That ‘s overstating it , I know .
  • 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 .
  • ADV 1: Turns out the engine had no oil , and when oil was put it , it would just run out of the filter .
  • ADP 1: On top of that though they tried to charge us service charge just to rub it it ….
• my
  • PRON 851: 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 .
• we
  • PRON 665: Yet we did n’t charge them for the evacuation .
  • VERB 1: Both the engagement and wedding pictures that he took for us we absolutely amazing .
  • NOUN 1: He ‘s dropping we
• that
  • SCONJ 1072: It is rumored that North Korea has at least a couple nuclear weapons .
  • PRON 841: Right now that seems to be the US , EU , and IAEA .
  • DET 183: I have sent your question re on line trading to that area .
  • ADV 40: it ‘s passable as a pub , but the pizza is not that great .
  • ADP 4: Is that reasonable ?
• he
  • PRON 652: So he ‘s got a – I ‘m a decision - maker and I can make good decisions .
  • INTJ 1: He - he .
• your
  • PRON 696: 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 687: From the AP comes this story :
  • PRON 339: 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 “ .
• their
  • PRON 433: 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 .
• what
  • PRON 340: And what do we get for this effort ?
  • DET 44: 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 .

Morphology

The form / lemma ratio of PRON is 1.125000 (the average of all parts of speech is 1.181137).

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 (19624; 94% instances), en-feat/Person (16906; 81% instances), en-feat/Number (15176; 73% instances), en-feat/Case (13547; 65% instances), en-feat/Gender (4430; 21% instances), en-feat/Poss (3337; 16% instances), en-feat/Reflex (117; 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 46 feature combinations. The most frequent feature combination is Case=Nom|Number=Sing|Person=1|PronType=Prs (3822 tokens). Examples: i

Relations

PRON nodes are attached to their parents using 27 different relations: en-dep/nsubj (11595; 56% instances), en-dep/nmod:poss (3371; 16% instances), en-dep/obj (2649; 13% instances), en-dep/obl (886; 4% instances), en-dep/expl (661; 3% instances), en-dep/nsubj:pass (510; 2% instances), en-dep/iobj (354; 2% instances), en-dep/nmod (342; 2% instances), en-dep/conj (166; 1% instances), en-dep/root (96; 0% instances), en-dep/nmod:npmod (29; 0% instances), en-dep/ccomp (26; 0% instances), en-dep/advcl (20; 0% instances), en-dep/parataxis (20; 0% instances), en-dep/obl:npmod (16; 0% instances), en-dep/appos (14; 0% instances), en-dep/det (10; 0% instances), en-dep/xcomp (8; 0% instances), en-dep/compound (5; 0% instances), en-dep/reparandum (4; 0% instances), en-dep/acl:relcl (3; 0% instances), en-dep/vocative (3; 0% instances), en-dep/csubj (2; 0% instances), en-dep/det:predet (2; 0% instances), en-dep/advmod (1; 0% instances), en-dep/case (1; 0% instances), en-dep/list (1; 0% instances)

Parents of PRON nodes belong to 16 different parts of speech: VERB (13961; 67% instances), NOUN (4602; 22% instances), ADJ (1446; 7% instances), ADV (166; 1% instances), PROPN (157; 1% instances), PRON (137; 1% instances), ROOT (96; 0% instances), NUM (75; 0% instances), AUX (71; 0% instances), DET (57; 0% instances), SYM (12; 0% instances), ADP (10; 0% instances), SCONJ (2; 0% instances), INTJ (1; 0% instances), PART (1; 0% instances), X (1; 0% instances)

18746 (90%) PRON nodes are leaves.

1532 (7%) PRON nodes have one child.

295 (1%) PRON nodes have two children.

222 (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 35 different relations: en-dep/case (1285; 43% instances), en-dep/acl:relcl (278; 9% instances), en-dep/punct (208; 7% instances), en-dep/cc (160; 5% instances), en-dep/nmod (156; 5% instances), en-dep/cop (145; 5% instances), en-dep/nsubj (140; 5% instances), en-dep/conj (126; 4% instances), en-dep/amod (122; 4% instances), en-dep/advmod (92; 3% instances), en-dep/acl (59; 2% instances), en-dep/det (50; 2% instances), en-dep/appos (39; 1% instances), en-dep/advcl (34; 1% instances), en-dep/mark (31; 1% instances), en-dep/aux (19; 1% instances), en-dep/obl (16; 1% instances), en-dep/parataxis (12; 0% instances), en-dep/nmod:npmod (5; 0% instances), en-dep/discourse (4; 0% instances), en-dep/goeswith (4; 0% instances), en-dep/cc:preconj (3; 0% instances), en-dep/compound (2; 0% instances), en-dep/csubj (2; 0% instances), en-dep/expl (2; 0% instances), en-dep/flat (2; 0% instances), en-dep/xcomp (2; 0% instances), en-dep/aux:pass (1; 0% instances), en-dep/ccomp (1; 0% instances), en-dep/dislocated (1; 0% instances), en-dep/nmod:poss (1; 0% instances), en-dep/nummod (1; 0% instances), en-dep/orphan (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 (1212; 40% instances), VERB (369; 12% instances), NOUN (259; 9% instances), PUNCT (213; 7% instances), AUX (171; 6% instances), CCONJ (155; 5% instances), ADJ (138; 5% instances), PRON (133; 4% instances), ADV (91; 3% instances), SCONJ (86; 3% instances), PROPN (75; 2% instances), DET (58; 2% instances), PART (30; 1% instances), NUM (6; 0% instances), INTJ (5; 0% instances), X (4; 0% instances), SYM (1; 0% instances)

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Treebank Statistics (UD_English-ESL)

There are 1 PRON lemmas (6%), 1 PRON types (6%) and 9575 PRON tokens (11%). Out of 17 observed tags, the rank of PRON is: 11 in number of lemmas, 11 in number of types and 3 in number of tokens.

The 10 most frequent PRON lemmas: _

The 10 most frequent PRON types: _

The 10 most frequent ambiguous lemmas: _ (NOUN 14135, VERB 13583, PRON 9575, DET 9068, PUNCT 8624, ADP 7769, ADJ 5278, ADV 5121, AUX 4111, PART 3169, CONJ 2865, SCONJ 2278, PROPN 1574, NUM 776, INTJ 67, X 60, SYM 37)

The 10 most frequent ambiguous types: _ (NOUN 14135, VERB 13583, PRON 9575, DET 9068, PUNCT 8624, ADP 7769, ADJ 5278, ADV 5121, AUX 4111, PART 3169, CONJ 2865, SCONJ 2278, PROPN 1574, NUM 776, INTJ 67, X 60, SYM 37)

• _
  • NOUN 14135: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • VERB 13583: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • PRON 9575: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • DET 9068: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • PUNCT 8624: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • ADP 7769: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • ADJ 5278: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • ADV 5121: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • AUX 4111: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • PART 3169: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • CONJ 2865: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • SCONJ 2278: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • PROPN 1574: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • NUM 776: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • INTJ 67: _ _ _ _ _ _ _ _ _ _ _ _
  • X 60: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
  • SYM 37: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

Morphology

The form / lemma ratio of PRON is 1.000000 (the average of all parts of speech is 1.000000).

The 1st highest number of forms (1) was observed with the lemma “_”: _.

PRON does not occur with any features.

Relations

PRON nodes are attached to their parents using 23 different relations: en-dep/nsubj (6710; 70% instances), en-dep/dobj (1134; 12% instances), en-dep/nmod (792; 8% instances), en-dep/expl (505; 5% instances), en-dep/iobj (165; 2% instances), en-dep/nsubjpass (153; 2% instances), en-dep/conj (48; 1% instances), en-dep/nmod:poss (14; 0% instances), en-dep/root (14; 0% instances), en-dep/ccomp (10; 0% instances), en-dep/nmod:npmod (7; 0% instances), en-dep/parataxis (5; 0% instances), en-dep/advcl (4; 0% instances), en-dep/acl:relcl (3; 0% instances), en-dep/xcomp (3; 0% instances), en-dep/acl (1; 0% instances), en-dep/appos (1; 0% instances), en-dep/aux (1; 0% instances), en-dep/compound (1; 0% instances), en-dep/det (1; 0% instances), en-dep/list (1; 0% instances), en-dep/mwe (1; 0% instances), en-dep/remnant (1; 0% instances)

Parents of PRON nodes belong to 12 different parts of speech: VERB (7507; 78% instances), ADJ (1084; 11% instances), NOUN (756; 8% instances), ADV (54; 1% instances), PRON (36; 0% instances), NUM (34; 0% instances), AUX (30; 0% instances), PROPN (30; 0% instances), DET (28; 0% instances), ROOT (14; 0% instances), INTJ (1; 0% instances), PART (1; 0% instances)

8518 (89%) PRON nodes are leaves.

890 (9%) PRON nodes have one child.

104 (1%) PRON nodes have two children.

63 (1%) PRON nodes have three or more children.

The highest child degree of a PRON node is 8.

Children of PRON nodes are attached using 31 different relations: en-dep/case (815; 60% instances), en-dep/acl:relcl (74; 5% instances), en-dep/nmod (62; 5% instances), en-dep/cc (50; 4% instances), en-dep/conj (50; 4% instances), en-dep/punct (41; 3% instances), en-dep/amod (39; 3% instances), en-dep/cop (37; 3% instances), en-dep/det (37; 3% instances), en-dep/acl (29; 2% instances), en-dep/nsubj (29; 2% instances), en-dep/advmod (25; 2% instances), en-dep/mark (11; 1% instances), en-dep/neg (9; 1% instances), en-dep/parataxis (9; 1% instances), en-dep/appos (7; 1% instances), en-dep/aux (6; 0% instances), en-dep/advcl (5; 0% instances), en-dep/det:predet (4; 0% instances), en-dep/dobj (4; 0% instances), en-dep/xcomp (4; 0% instances), en-dep/expl (2; 0% instances), en-dep/goeswith (2; 0% instances), en-dep/remnant (2; 0% instances), en-dep/cc:preconj (1; 0% instances), en-dep/ccomp (1; 0% instances), en-dep/csubj (1; 0% instances), en-dep/discourse (1; 0% instances), en-dep/dislocated (1; 0% instances), en-dep/nmod:npmod (1; 0% instances), en-dep/nummod (1; 0% instances)

Children of PRON nodes belong to 15 different parts of speech: ADP (802; 59% instances), VERB (160; 12% instances), NOUN (107; 8% instances), ADJ (50; 4% instances), CONJ (50; 4% instances), DET (44; 3% instances), PUNCT (41; 3% instances), PRON (36; 3% instances), ADV (30; 2% instances), PART (16; 1% instances), SCONJ (10; 1% instances), AUX (7; 1% instances), PROPN (4; 0% instances), NUM (2; 0% instances), INTJ (1; 0% instances)

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Treebank Statistics (UD_English-LinES)

There are 1 PRON lemmas (6%), 79 PRON types (1%) and 6303 PRON tokens (9%). Out of 17 observed tags, the rank of PRON is: 11 in number of lemmas, 7 in number of types and 6 in number of tokens.

The 10 most frequent PRON lemmas: _

The 10 most frequent PRON types: he, it, I, you, his, they, him, we, what, there

The 10 most frequent ambiguous lemmas: _ (NOUN 12161, PUNCT 8085, VERB 8020, ADP 6788, DET 6429, PRON 6303, ADJ 4270, ADV 3700, AUX 3539, PROPN 2257, CCONJ 2081, PART 1703, SCONJ 1231, NUM 462, INTJ 122, X 41, SYM 5)

The 10 most frequent ambiguous types: what (PRON 131, DET 8), there (PRON 101, ADV 64), that (SCONJ 505, DET 99, PRON 88), this (DET 130, PRON 65), one (PRON 89, NUM 88, DET 7), which (PRON 88, DET 7), all (DET 79, PRON 75, ADV 35, ADP 1), other (ADJ 76, PRON 21), each (DET 26, PRON 19), some (DET 62, PRON 13, ADV 3)

• what
  • PRON 131: With what , then ?
  • DET 8: And what problems were solved ?
• there
  • PRON 101: I ‘ve a feeling there ‘s been a terrible mistake .
  • ADV 64: Immobile among the moving crowd , he stood there and watched .
• that
  • SCONJ 505: Identifying filters that are currently in effect
  • DET 99: The swift and indifferent placidity of that look troubled me .
  • PRON 88: After that , a strange thing happened .
• this
  • DET 130: Some of the hyperlinks in this topic go to the Web .
  • PRON 65: I wish it was . But this has nothing to do with literature .
• one
  • PRON 89: You ‘re the only one in the book .
  • NUM 88: There ‘s one thing I ‘ll do for you , though .
  • DET 7: In that one brief moment he knew that he was in trouble .
• which
  • PRON 88: And he was devoted to his books , which were in apple-pie order .
  • DET 7: And which one of us ‘s been taking Rebecca to the Sputnik ?
• all
  • DET 79: But all these things are in some way external .
  • PRON 75: A mounted escort of some 30 men , all armed .
  • ADV 35: I do n’t understand it at all .
  • ADP 1: To them they are merely attendants , exotic bediener , all but bodyless .
• other
  • ADJ 76: The other fields are outer fields .
  • PRON 21: Conditional filters are independent of each other .
• each
  • DET 26: For each start tag , there is a corresponding end tag .
  • PRON 19: Conditional filters are independent of each other .
• some
  • DET 62: Buy yourself some more books . Or a few toys for your kid .
  • PRON 13: And this was the place where some of the helpers had withdrawn to die .
  • ADV 3: A mounted escort of some 30 men , all armed .

Morphology

The form / lemma ratio of PRON is 79.000000 (the average of all parts of speech is 527.705882).

The 1st highest number of forms (79) was observed with the lemma “_”: ‘em, ‘s, ‘ye, I, Neither, Whoever, Yer, a, all, another, any, anybody, anyone, anything, both, each, either, else, everybody, everyone, everything, half, he, her, hers, herself, him, himself, his, it, its, itself, me, mine, my, myself, no, nobody, none, noone, nothing, one, ones, oneself, other, others, our, ours, ourselves, own, she, some, somebody, someone, something, such, that, their, theirs, them, themselves, there, these, they, this, those, us, we, what, whatever, whatnot, which, who, whom, whose, you, your, yours, yourself.

PRON does not occur with any features.

Relations

PRON nodes are attached to their parents using 22 different relations: en-dep/nsubj (3270; 52% instances), en-dep/nmod:poss (1000; 16% instances), en-dep/obj (719; 11% instances), en-dep/obl (403; 6% instances), en-dep/nmod (229; 4% instances), en-dep/expl (218; 3% instances), en-dep/nsubj:pass (151; 2% instances), en-dep/root (53; 1% instances), en-dep/conj (47; 1% instances), en-dep/iobj (39; 1% instances), en-dep/dislocated (38; 1% instances), en-dep/fixed (31; 0% instances), en-dep/mark (29; 0% instances), en-dep/advmod (18; 0% instances), en-dep/xcomp (16; 0% instances), en-dep/appos (15; 0% instances), en-dep/obl:agent (9; 0% instances), en-dep/amod (8; 0% instances), en-dep/det (6; 0% instances), en-dep/discourse (2; 0% instances), en-dep/acl:relcl (1; 0% instances), en-dep/vocative (1; 0% instances)

Parents of PRON nodes belong to 14 different parts of speech: VERB (4296; 68% instances), NOUN (1358; 22% instances), ADJ (291; 5% instances), PRON (141; 2% instances), AUX (84; 1% instances), ROOT (53; 1% instances), PROPN (41; 1% instances), ADV (12; 0% instances), ADP (10; 0% instances), NUM (7; 0% instances), PUNCT (5; 0% instances), DET (3; 0% instances), PART (1; 0% instances), SCONJ (1; 0% instances)

5330 (85%) PRON nodes are leaves.

693 (11%) PRON nodes have one child.

168 (3%) PRON nodes have two children.

112 (2%) PRON nodes have three or more children.

The highest child degree of a PRON node is 11.

Children of PRON nodes are attached using 29 different relations: en-dep/case (600; 40% instances), en-dep/punct (164; 11% instances), en-dep/nmod (155; 10% instances), en-dep/cop (78; 5% instances), en-dep/advmod (76; 5% instances), en-dep/nsubj (71; 5% instances), en-dep/det (56; 4% instances), en-dep/amod (55; 4% instances), en-dep/acl:relcl (43; 3% instances), en-dep/conj (43; 3% instances), en-dep/cc (38; 3% instances), en-dep/fixed (34; 2% instances), en-dep/acl (30; 2% instances), en-dep/advcl (10; 1% instances), en-dep/appos (10; 1% instances), en-dep/mark (9; 1% instances), en-dep/aux (6; 0% instances), en-dep/expl (4; 0% instances), en-dep/csubj (3; 0% instances), en-dep/discourse (3; 0% instances), en-dep/nummod (3; 0% instances), en-dep/dislocated (2; 0% instances), en-dep/nmod:poss (2; 0% instances), en-dep/parataxis (2; 0% instances), en-dep/xcomp (2; 0% instances), en-dep/ccomp (1; 0% instances), en-dep/compound (1; 0% instances), en-dep/obj (1; 0% instances), en-dep/vocative (1; 0% instances)

Children of PRON nodes belong to 15 different parts of speech: ADP (601; 40% instances), PUNCT (164; 11% instances), NOUN (143; 10% instances), PRON (141; 9% instances), VERB (114; 8% instances), AUX (84; 6% instances), ADV (67; 4% instances), DET (57; 4% instances), ADJ (49; 3% instances), CCONJ (38; 3% instances), PROPN (20; 1% instances), PART (12; 1% instances), SCONJ (6; 0% instances), INTJ (4; 0% instances), NUM (3; 0% instances)

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Treebank Statistics (UD_English-ParTUT)

There are 42 PRON lemmas (1%), 54 PRON types (1%) and 1498 PRON tokens (4%). Out of 17 observed tags, the rank of PRON is: 9 in number of lemmas, 9 in number of types and 10 in number of tokens.

The 10 most frequent PRON lemmas: it, he, that, which, i, they, we, you, this, who

The 10 most frequent PRON types: it, that, which, he, I, we, they, you, this, who

The 10 most frequent ambiguous lemmas: that (SCONJ 246, PRON 169, DET 43, ADJ 2), which (PRON 137, DET 3), they (PRON 128, ADJ 1), you (PRON 82, DET 31), this (DET 228, PRON 67), all (DET 38, PRON 36, ADV 1), what (PRON 27, DET 2), us (DET 47, PRON 26), one (NUM 42, PRON 21, DET 2, NOUN 1), other (ADJ 59, PRON 19)

The 10 most frequent ambiguous types: that (SCONJ 245, PRON 136, DET 22), which (PRON 137, DET 3), I (PRON 131, ADJ 2), this (DET 150, PRON 35), all (DET 36, PRON 28, ADV 1), what (PRON 19, DET 1), those (PRON 25, DET 15), one (NUM 37, PRON 20, DET 2, NOUN 1), some (DET 20, PRON 15), these (DET 43, PRON 5)

• that
  • SCONJ 245: I would ask that they reconsider , since this is not the case .
  • PRON 136: We ‘ve experienced that .
  • DET 22: How is that possible ?
• which
  • PRON 137: We therefore accept the four amendments which have been proposed .
  • DET 3: It is not clear for which companies Shakespeare wrote his early plays .
• I
  • PRON 131: I would like your advice about Rule 143 concerning inadmissibility .
  • ADJ 2: Annexes I to IX and the Appendices thereto shall form an integral part of this Protocol .
• this
  • DET 150: Please rise , then , for this minute ‘s silence .
  • PRON 35: I would ask that they reconsider , since this is not the case .
• all
  • DET 36: In fact , all hell broke loose in some municipalities in my province .
  • PRON 28: Mr Berenguer Fuster , we shall check all this .
  • ADV 1: In 1623 , John Heminges and Henry Condell , two friends and fellow actors of Shakespeare , published the First Folio , a collected edition of his dramatic works that included all but two of the plays now recognised as Shakespeare ‘s .
• what
  • PRON 19: Too much of what takes place within this Parliament is not transparent .
  • DET 1: They can also choose how many and what types of these public updates they get .
• those
  • PRON 25: Many of his novels were initially serialized , like those of Dickens .
  • DET 15: And some of those whale meat samples were whale meat .
• one
  • NUM 37: I should like to address one final point .
  • PRON 20: No one shall be subjected to arbitrary arrest , detention or exile .
  • DET 2: This was the first book Balzac released under his own name , and it gave him what one critic called “ passage into the Promised Land “ .
  • NOUN 1: The late romances , with their shifts in time and surprising turns of plot , inspired a last poetic style in which long and short sentences are set against one another , clauses are piled up , subject and object are reversed , and words are omitted , creating an effect of spontaneity .
• some
  • DET 20: In fact , all hell broke loose in some municipalities in my province .
  • PRON 15: And some of those whale meat samples were whale meat .
• these
  • DET 43: We had these data a few years ago .
  • PRON 5: But these are essentially externalized stomachs and lungs .

Morphology

The form / lemma ratio of PRON is 1.285714 (the average of all parts of speech is 1.187751).

The 1st highest number of forms (4) was observed with the lemma “us”: our, ours, ourselves, us.

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

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

PRON occurs with 6 features: en-feat/PronType (1498; 100% instances), en-feat/Number (989; 66% instances), en-feat/Person (931; 62% instances), en-feat/Gender (195; 13% instances), en-feat/Poss (6; 0% instances), en-feat/NumType (5; 0% instances)

PRON occurs with 14 feature-value pairs: Gender=Fem, Gender=Masc, NumType=Ord, Number=Plur, Number=Sing, Person=1, Person=2, Person=3, Poss=Yes, PronType=Dem, PronType=Ind, PronType=Int, PronType=Prs, PronType=Rel

PRON occurs with 26 feature combinations. The most frequent feature combination is PronType=Rel (320 tokens). Examples: which, that, who, what, where, whom, whose, when, whereby

Relations

PRON nodes are attached to their parents using 20 different relations: en-dep/nsubj (911; 61% instances), en-dep/obj (196; 13% instances), en-dep/obl (113; 8% instances), en-dep/nsubj:pass (99; 7% instances), en-dep/nmod (77; 5% instances), en-dep/expl (49; 3% instances), en-dep/iobj (17; 1% instances), en-dep/root (14; 1% instances), en-dep/conj (10; 1% instances), en-dep/nmod:poss (2; 0% instances), en-dep/acl (1; 0% instances), en-dep/acl:relcl (1; 0% instances), en-dep/advmod (1; 0% instances), en-dep/amod (1; 0% instances), en-dep/appos (1; 0% instances), en-dep/ccomp (1; 0% instances), en-dep/dislocated (1; 0% instances), en-dep/fixed (1; 0% instances), en-dep/obl:agent (1; 0% instances), en-dep/xcomp (1; 0% instances)

Parents of PRON nodes belong to 11 different parts of speech: VERB (1144; 76% instances), NOUN (159; 11% instances), ADJ (118; 8% instances), PRON (25; 2% instances), ADV (14; 1% instances), ROOT (14; 1% instances), AUX (12; 1% instances), PROPN (7; 0% instances), DET (2; 0% instances), NUM (2; 0% instances), PUNCT (1; 0% instances)

1209 (81%) PRON nodes are leaves.

206 (14%) PRON nodes have one child.

48 (3%) PRON nodes have two children.

35 (2%) PRON nodes have three or more children.

The highest child degree of a PRON node is 7.

Children of PRON nodes are attached using 19 different relations: en-dep/case (162; 37% instances), en-dep/nmod (76; 17% instances), en-dep/punct (49; 11% instances), en-dep/acl:relcl (36; 8% instances), en-dep/det (21; 5% instances), en-dep/cop (19; 4% instances), en-dep/nsubj (17; 4% instances), en-dep/cc (11; 2% instances), en-dep/conj (10; 2% instances), en-dep/acl (9; 2% instances), en-dep/amod (9; 2% instances), en-dep/advmod (8; 2% instances), en-dep/advcl (7; 2% instances), en-dep/csubj (2; 0% instances), en-dep/fixed (2; 0% instances), en-dep/aux (1; 0% instances), en-dep/ccomp (1; 0% instances), en-dep/mark (1; 0% instances), en-dep/vocative (1; 0% instances)

Children of PRON nodes belong to 12 different parts of speech: ADP (163; 37% instances), NOUN (73; 17% instances), VERB (51; 12% instances), PUNCT (49; 11% instances), PRON (25; 6% instances), AUX (21; 5% instances), DET (21; 5% instances), ADJ (15; 3% instances), CCONJ (11; 2% instances), ADV (6; 1% instances), PROPN (6; 1% instances), PART (1; 0% instances)

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PRON in other languages: [am] [ar] [bg] [bxr] [ca] [ckb] [cop] [cs] [cu] [da] [de] [el] [en] [es] [et] [eu] [fa] [fi] [fo] [fr] [ga] [gl] [got] [grc] [he] [hi] [hr] [hu] [id] [it] [ja] [kk] [kmr] [ko] [la] [lv] [mr] [nl] [no] [pl] [pt] [ro] [ru] [sa] [sk] [sla] [sl] [so] [sr] [sv] [swl] [ta] [tr] [ug] [uk] [u] [urj] [ur] [vi] [yue] [zh]

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