PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

10.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (100 utterances, 375 words searched).

  1. bah oui j(e) te la donne attends ! MOT · french/unkeler_pie21.cha, line 304 · Pierre 2;01
  2. mais attends , attends on va effacer d'abord ! MOT · french/unkeler_pie21.cha, line 362 · Pierre 2;01
  3. mais attends , attends on va effacer d'abord ! MOT · french/unkeler_pie21.cha, line 362 · Pierre 2;01
  4. bah attends ! MOT · french/unkeler_pie21.cha, line 369 · Pierre 2;01
  1. MOT0 .
    CHIwww .
    MOT*MOT: bah oui j(e) te la donne attends !
    CHIwww .
    MOTdonne la moi tu dis , donne la moi maman !
  2. MOTon fait un chat ?
    CHIwww .
    MOT*MOT: mais attends , attends on va effacer d'abord !
    MOTon efface .
    CHIwww .
  3. MOTon efface .
    CHIwww .
    MOT*MOT: bah attends !
    CHIwww .
    MOTalors comment on fait le chat ?

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 french10.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/unkeler_pie21.chaPierre 2;1.203753410.67

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. attends4 · 100.0%