PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

8.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (129 utterances, 477 words searched).

  1. t(u) as vu comme c'est mouillé ! MOT · french/unkeler_pie18.cha, line 98 · Pierre 2;00
  2. t(u) as vu c(e) qu'i(l) pleut ! MOT · french/unkeler_pie18.cha, line 131 · Pierre 2;00
  3. t(u) as vu toute la fumée ! MOT · french/unkeler_pie18.cha, line 335 · Pierre 2;00
  4. i(l) fait dodo tu as vu ! MOT · french/unkeler_pie18.cha, line 514 · Pierre 2;00
  1. CHIwww .
    MOTc'est mouillé ?
    MOT*MOT: t(u) as vu comme c'est mouillé !
    CHIwww .
    MOT(il) y a d(e) l'eau .
  2. CHIwww .
    MOTah non !
    MOT*MOT: t(u) as vu c(e) qu'i(l) pleut !
    MOTtu vas être tout mouillé !
    MOTon peut pas .
  3. CHIwww .
    MOTouais c'est chaud , très , très , chaud .
    MOT*MOT: t(u) as vu toute la fumée !
    CHIwww .
    MOTouais .
  4. CHIwww .
    MOTouais .
    MOT*MOT: i(l) fait dodo tu as vu !

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 french8.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/unkeler_pie18.chaPierre 2;0.07477448.39

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. vu4 · 100.0%