PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

3.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (431 utterances, 1,559 words searched).

  1. oh your Dad's very precise look . MOT · eng_british_Manchester_II/liz01a.cha, line 443 · Liz 1;11
  2. oh I'm <not very> [/] not very good at cows really . MOT · eng_british_Manchester_II/liz01a.cha, line 456 · Liz 1;11
  3. oh I'm <not very> [/] not very good at cows really . MOT · eng_british_Manchester_II/liz01a.cha, line 456 · Liz 1;11
  4. that was a very short story . MOT · eng_british_Manchester_II/liz01a.cha, line 590 · Liz 1;11
  5. it's very good , isn't it ? INV · eng_british_Manchester_II/liz01a.cha, line 1015 · Liz 1;11
  1. MOTthat's a snowman , isn't it ?
    CHIman .
    MOT*MOT: oh your Dad's very precise look .
    MOThe's even put udders on it .
    MOTand a tail .
  2. CHIcow .
    CHIcow .
    MOT*MOT: oh I'm <not very> [/] not very good at cows really .
    MOTI can only draw faces , can't I ?
    CHIfaces .
  3. MOTmmhm .
    MOTthe monkeys run [*] away, didn't they ?
    MOT*MOT: that was a very short story .
    MOTare you bringing another one in ?
    CHIyeah .
  4. INVdid you make that ?
    CHIyeah .
    INV*INV: it's very good , isn't it ?
    INVoh: .
    INVwhat's that ?

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. Liz eng_british_Manchester_II3.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz01a.chaLiz 1;11.091,559453.21

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. very5 · 100.0%