PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (637 utterances, 2,284 words searched).

  1. he's got a special name , hasn't he ? MOT · eng_british_Manchester_II/nic01a.cha, line 366 · Nicole 2;00
  2. he's a famous bear . MOT · eng_british_Manchester_II/nic01a.cha, line 369 · Nicole 2;00
  3. he's on telly , isn't he ? MOT · eng_british_Manchester_II/nic01a.cha, line 371 · Nicole 2;00
  4. it's teddy but he's got a special name this one , hasn't he ? MOT · eng_british_Manchester_II/nic01a.cha, line 401 · Nicole 2;00
  5. and is he called Coco because he's a clown ? MOT · eng_british_Manchester_II/nic01a.cha, line 423 · Nicole 2;00
  6. is he called Coco because he's a clown ? MOT · eng_british_Manchester_II/nic01a.cha, line 428 · Nicole 2;00
  1. INVyes .
    MOTbut what's his name ?
    MOT*MOT: he's got a special name , hasn't he ?
    MOThe's a famous bear .
    MOThe's on telly , isn't he ?
  2. MOTbut what's his name ?
    MOThe's got a special name , hasn't he ?
    MOT*MOT: he's a famous bear .
    MOThe's on telly , isn't he ?
    MOToh .
  3. MOThe's got a special name , hasn't he ?
    MOThe's a famous bear .
    MOT*MOT: he's on telly , isn't he ?
    MOToh .
    MOTare you playing peepbo [: peekaboo] now with Caroline ?
  4. MOTit's not .
    MOTyes .
    MOT*MOT: it's teddy but he's got a special name this one , hasn't he ?
    INVyou told me earlier , Nicole .
    MOTdid you tell Caroline his name ?
  5. CHICoco [<] .
    MOTthat's Coco , isn't it ?
    MOT*MOT: and is he called Coco because he's a clown ?
    MOTNicole .
    MOTis he called Coco because he's a clown ?
  6. MOTand is he called Coco because he's a clown ?
    MOTNicole .
    MOT*MOT: is he called Coco because he's a clown ?
    CHIno .
    MOTno ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Nicole eng_british_Manchester_II2.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01a.chaNicole 2;0.252,284662.63

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. he's6 · 100.0%