PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (88 utterances, 372 words searched).

  1. comment i(ls) font les poissons ? MOT · french/unkeler_pie16.cha, line 318 · Pierre 1;11
  2. comment tu fais pour tirer la langue toi ? MOT · french/unkeler_pie16.cha, line 349 · Pierre 1;11
  1. MOT(il) y a des poissons dans l'eau toujours .
    CHIwww .
    MOT*MOT: comment i(ls) font les poissons ?
    CHIwww .
    MOToh ça c'est un totem .
  2. MOTça c'est une langue , ça c'est les oreilles , le nez .
    MOTt(u) as vu i(l) tire la langue le p(e)tit cheval !
    MOT*MOT: comment tu fais pour tirer la langue toi ?
    CHIwww .
    MOT0 .

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 french5.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/unkeler_pie16.chaPierre 1;11.11372225.38

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.

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