PHPCLANCHILDES with regular expressions

9 matches in 2 utterances

69.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (34 utterances, 129 words searched).

  1. greu greu greu greu ! MOT · french/unkeler_pie05.cha, line 85 · Pierre 1;05
  2. greu greu greu greu ! MOT · french/unkeler_pie05.cha, line 85 · Pierre 1;05
  3. greu greu greu greu ! MOT · french/unkeler_pie05.cha, line 85 · Pierre 1;05
  4. greu greu greu greu ! MOT · french/unkeler_pie05.cha, line 85 · Pierre 1;05
  5. greu greu greu greu greu ! MOT · french/unkeler_pie05.cha, line 104 · Pierre 1;05
  6. greu greu greu greu greu ! MOT · french/unkeler_pie05.cha, line 104 · Pierre 1;05
  7. greu greu greu greu greu ! MOT · french/unkeler_pie05.cha, line 104 · Pierre 1;05
  8. greu greu greu greu greu ! MOT · french/unkeler_pie05.cha, line 104 · Pierre 1;05
  9. greu greu greu greu greu ! MOT · french/unkeler_pie05.cha, line 104 · Pierre 1;05
  1. french/unkeler_pie05.cha, line 85 · Pierre, 1;5.23
    MOTça c'est le cochon .
    MOTregarde les cochons !
    MOT*MOT: greu greu greu greu !
    CHIwww .
    MOTles cochons , t(u) as vu , les cochons ?
  2. french/unkeler_pie05.cha, line 104 · Pierre, 1;5.23
    CHIwww .
    MOTça c'est le gros cochon , le gros , gros , gros cochon .
    MOT*MOT: greu greu greu greu greu !
    CHIwww .
    MOThein !

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 french69.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/unkeler_pie05.chaPierre 1;5.231292969.77

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. greu9 · 100.0%