PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (285 utterances, 1,412 words searched).

  1. well # we have to take all your clothes off anyway and change before we pick up Daddy # so +... MOT · eng_USA_Brown/sarah136.cha, line 622 · Sarah 5;00
  2. oh (a)n(d) after school you have to study all day . MOT · eng_USA_Brown/sarah136.cha, line 845 · Sarah 5;00
  3. I think all your clothes are gonna have to be shortened . MOT · eng_USA_Brown/sarah136.cha, line 891 · Sarah 5;00
  4. they're all out . MOT · eng_USA_Brown/sarah136.cha, line 1218 · Sarah 5;00
  5. all ya know ? MOT · eng_USA_Brown/sarah136.cha, line 1251 · Sarah 5;00
  1. eng_USA_Brown/sarah136.cha, line 622 · Sarah, 5;0.16
    CHIgood .
    CHIwill that get dirty ?
    MOT*MOT: well # we have to take all your clothes off anyway and change before we pick up Daddy # so +...
    CHIcan I wear it ?
    MOTno # you're not gonna wear it .
  2. eng_USA_Brown/sarah136.cha, line 845 · Sarah, 5;0.16
    MOTand what else ?
    CHI(be)cause I study all day at the school here .
    MOT*MOT: oh (a)n(d) after school you have to study all day .
    CHIyeah .
    MOTwe'll just see .
  3. eng_USA_Brown/sarah136.cha, line 891 · Sarah, 5;0.16
    MOTlet's put this one on # see how it looks .
    CHIok .
    MOT*MOT: I think all your clothes are gonna have to be shortened .
    MOTshe's so short .
    GAImmhm .
  4. eng_USA_Brown/sarah136.cha, line 1218 · Sarah, 5;0.16
    CHIsister .
    MOTgee # that's too bad .
    MOT*MOT: they're all out .
    MOTthey ran out .
    CHIno # they didn't .
  5. eng_USA_Brown/sarah136.cha, line 1251 · Sarah, 5;0.16
    MOTyou don't know ?
    CHI(a)n(d) that's all I know .
    MOT*MOT: all ya know ?
    CHImmhm .
    CHIthey splash # one a other .

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. Sarah eng_USA_Brown3.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah136.chaSarah 5;0.161,412553.54

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. all5 · 100.0%