PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

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

  1. on va prendre çuilà puis on va grimper dessus . MOT · french/unkeler_pie01.cha, line 63 · Pierre 1;03
  2. on va prendre çuilà puis on va grimper dessus . MOT · french/unkeler_pie01.cha, line 63 · Pierre 1;03
  3. allez on y va ? MOT · french/unkeler_pie01.cha, line 76 · Pierre 1;03
  1. CHIwww .
    MOTattends , bah attends regarde !
    MOT*MOT: on va prendre çuilà puis on va grimper dessus .
    CHIwww .
    MOTallez , tu veux grimper sur l(e) cheval ?
  2. MOTallez , tu veux grimper sur l(e) cheval ?
    CHIwww .
    MOT*MOT: allez on y va ?
    MOTallez hop !
    MOTtu te tiens ?

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 french25.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/unkeler_pie01.chaPierre 1;3.181192325.21

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. va3 · 100.0%