PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

10.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (58 utterances, 283 words searched).

  1. il a un p(e)tit trou pour faire pipi , p(u)is caca . MOT · french/unkeler_pie09.cha, line 202 · Pierre 1;07
  2. i(l) faut l'asseoir pour faire caca , comme ça hop ! MOT · french/unkeler_pie09.cha, line 216 · Pierre 1;07
  3. t(u) as envie d(e) faire caca toi ? MOT · french/unkeler_pie09.cha, line 225 · Pierre 1;07
  1. CHIwww .
    MOToh !
    MOT*MOT: il a un p(e)tit trou pour faire pipi , p(u)is caca .
    CHIwww .
    MOTi(l) fait caca ?
  2. MOTi(l) fait caca ?
    CHIwww .
    MOT*MOT: i(l) faut l'asseoir pour faire caca , comme ça hop !
    MOTvoilà !
    CHIwww .
  3. MOTvoilà !
    CHIwww .
    MOT*MOT: t(u) as envie d(e) faire caca toi ?
    CHIwww .
    MOTcaca .

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. Pierre french10.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/unkeler_pie09.chaPierre 1;7.272833310.60

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. faire3 · 100.0%