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Treebank Statistics: UD_English-EWT: POS Tags: PART

There are 3 PART lemmas (0%), 20 PART types (0%) and 7041 PART tokens (3%). Out of 17 observed tags, the rank of PART is: 17 in number of lemmas, 17 in number of types and 12 in number of tokens.

The 10 most frequent PART lemmas: to, not, ‘s

The 10 most frequent PART types: to, not, n’t, ‘s, s, nt, ‘, ’s, na, n’t

The 10 most frequent ambiguous lemmas: to (PART 4017, ADP 2206, SCONJ 83, NOUN 2, VERB 1)

The 10 most frequent ambiguous types: to (PART 3946, ADP 2175, SCONJ 82, ADV 12, NOUN 2, X 2, DET 1, VERB 1), ’s (PART 670, AUX 395, VERB 53, PRON 14), s (AUX 100, PART 98, VERB 10, ADJ 7, PRON 7, X 4, NOUN 2, PROPN 1), ’ (PUNCT 240, PART 36, NOUN 7), ’s (PART 29, AUX 11, VERB 3, PRON 1), ta (PART 7, ADP 3), ’ (PART 3, PUNCT 2), n (CCONJ 4, PART 2), too (ADV 150, PART 2, ADP 1), 2 (NUM 173, PROPN 2, X 2, ADP 1, PART 1)

• to
  • PART 3946: When they saw a cartoon of their prophet , people had to die .
  • ADP 2175: To pander to the mythical “ Arab street “ , of course .
  • SCONJ 82: I look forward to seeing you all there .
  • ADV 12: And if you send me a story , that would be great to !
  • NOUN 2: Talked to the little mother - to - be .
  • X 2: None , just walk in to the service office and present all the identification you have to prove your identity .
  • DET 1: I love her and want to help her but I do n’t know when I ‘ll be able to take her to to vet :( please help .
  • VERB 1: My answer is that we do n’t to text speak here … we type in English .
• ’s
  • PART 670: I was thinking Kenneally ’s at around 5 .
  • AUX 395: That ’s overstating it , I know .
  • VERB 53: Read the entire article ; there ’s a punchline , too .
  • PRON 14: let ’s discuss next time we have amstel lights together .
• s
  • AUX 100: It s all interesting stuff .
  • PART 98: you guys want to watch the game at woodrow s tomorrow ?
  • VERB 10: i always thought there s no custom charges for gifts .
  • ADJ 7: The Settlement date shall be the date ( s ) set forth in the Product description on the Website .
  • PRON 7: Let s get together soon .
  • X 4: Just to let you all know Matt has confirmed the booking for 3rd Dec i s OK .
  • NOUN 2: In clause ( e ) , delete the “ s “ : from the word consolidation .
  • PROPN 1: s
• ’
  • PUNCT 240: He did comment on what he meant by the phrase . ’
  • PART 36: The latest spot for a real Hackney ‘s is Printers ’ Row :
  • NOUN 7: If you Do n’t want to grow out of it quickly get a 14 ’ 2 ..
• ’s
  • PART 29: Bush ’s National Guard years
  • AUX 11: That ’s fine .
  • VERB 3: And then there ’s the rain .
  • PRON 1: Let ’s get this over with now …
• ta
  • PART 7: Yeah you got ta burn it .. that s the only way
  • ADP 3: If this is the best that Tucson has to offer , I am out ta here …
• ’
  • PART 3: Before you fall for Dems ’ spin , here are the facts
  • PUNCT 2: The Irish weather works on the ‘ four seasons in a day ’ principle , which basic­ally means that you ca n’t predict a thing when it comes to the behaviour of the sky .
• n
  • CCONJ 4: in n out of the chicago area ?
  • PART 2: I du n no how they did it , but Scottish friends — this is THE REAL DEAL .
• too
  • ADV 150: Read the entire article ; there ‘s a punchline , too .
  • PART 2: ( you can take breaks if you have too ) and repeat the steps after about 2 hours .
  • ADP 1: This is one of the best farms I have ever been too .
• 2
  • NUM 173: Analyst Team 2 : Coach : Doug Sewell
  • PROPN 2: and it seems this is the FIRST site of ragnarok 2 hahaha since the site is new send me your suggestions and comments
  • X 2: 2
  • ADP 1: go 2 starbucks do nt spend more than 20 bucks :)
  • PART 1: hi everyone …. just hav my hands on my new OLYMPUS X940 digital camera .. wel , i always wanted 2 hav one by sony .. but anyways , ended up having olympus X940 from my dad ……. does any1 already has it ?

Morphology

The form / lemma ratio of PART is 6.666667 (the average of all parts of speech is 1.228673).

The 1st highest number of forms (8) was observed with the lemma “to”: 2, a, na, ot, ta, the, to, too.

The 2nd highest number of forms (7) was observed with the lemma “’s”: ’, ‘s, -s, `s, s, ’, ’s.

The 3rd highest number of forms (5) was observed with the lemma “not”: n, n’t, not, nt, n’t.

PART occurs with 2 features: Typo (106; 2% instances), Abbr (27; 0% instances)

PART occurs with 2 feature-value pairs: Abbr=Yes, Typo=Yes

PART occurs with 3 feature combinations. The most frequent feature combination is _ (6908 tokens). Examples: to, not, n’t, ‘s, nt, ‘, ’s, n’t, ’, n

Relations

PART nodes are attached to their parents using 15 different relations: mark (3987; 57% instances), advmod (2125; 30% instances), case (841; 12% instances), conj (20; 0% instances), fixed (19; 0% instances), xcomp (17; 0% instances), advcl (9; 0% instances), cc (8; 0% instances), ccomp (4; 0% instances), parataxis (3; 0% instances), root (3; 0% instances), compound (2; 0% instances), acl:relcl (1; 0% instances), csubj (1; 0% instances), reparandum (1; 0% instances)

Parents of PART nodes belong to 14 different parts of speech: VERB (5357; 76% instances), PROPN (584; 8% instances), NOUN (548; 8% instances), ADJ (367; 5% instances), ADV (62; 1% instances), PRON (46; 1% instances), AUX (32; 0% instances), DET (12; 0% instances), SCONJ (12; 0% instances), NUM (8; 0% instances), PART (7; 0% instances), (3; 0% instances), ADP (2; 0% instances), SYM (1; 0% instances)

6987 (99%) PART nodes are leaves.

40 (1%) PART nodes have one child.

8 (0%) PART nodes have two children.

6 (0%) PART nodes have three or more children.

The highest child degree of a PART node is 4.

Children of PART nodes are attached using 11 different relations: cc (23; 30% instances), mark (15; 20% instances), fixed (14; 18% instances), punct (11; 14% instances), advmod (6; 8% instances), advcl (2; 3% instances), ccomp (1; 1% instances), conj (1; 1% instances), csubj (1; 1% instances), discourse (1; 1% instances), obj (1; 1% instances)

Children of PART nodes belong to 8 different parts of speech: CCONJ (23; 30% instances), SCONJ (15; 20% instances), PUNCT (11; 14% instances), VERB (10; 13% instances), ADV (8; 11% instances), PART (7; 9% instances), INTJ (1; 1% instances), NOUN (1; 1% instances)

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