PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

33.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (26 utterances, 119 words searched).

  1. bah alors comment tu fais ? MOT · french/unkeler_pie01.cha, line 41 · Pierre 1;03
  2. allez , tu veux grimper sur l(e) cheval ? MOT · french/unkeler_pie01.cha, line 70 · Pierre 1;03
  3. tu te tiens ? MOT · french/unkeler_pie01.cha, line 80 · Pierre 1;03
  4. tiens toi chéri tu vas tomber ! MOT · french/unkeler_pie01.cha, line 95 · Pierre 1;03
  1. MOTcoucou la balle !
    MOTcoucou la balle !
    MOT*MOT: bah alors comment tu fais ?
    CHIwww .
    MOTcoucou la balle , coucou la balle !
  2. MOTon va prendre çuilà puis on va grimper dessus .
    CHIwww .
    MOT*MOT: allez , tu veux grimper sur l(e) cheval ?
    CHIwww .
    MOTallez on y va ?
  3. MOTallez on y va ?
    MOTallez hop !
    MOT*MOT: tu te tiens ?
    MOThue dada !
    CHIwww .
  4. MOTbateau bateau bateau .
    CHIwww .
    MOT*MOT: tiens toi chéri tu vas tomber !
    CHIwww .
    MOThue dada , hue dada , hue dada , hue dada !

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 french33.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/unkeler_pie01.chaPierre 1;3.181194433.61

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. tu4 · 100.0%