PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

14.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (41 utterances, 205 words searched).

  1. tu shootes , ouais ! MOT · french/unkeler_pie10.cha, line 45 · Pierre 1;08
  2. tu sais l(e) dire pomme . MOT · french/unkeler_pie10.cha, line 155 · Pierre 1;08
  3. tu dis pas grand-chose aujourd'hui , t(u) es fatigué ? MOT · french/unkeler_pie10.cha, line 165 · Pierre 1;08
  1. french/unkeler_pie10.cha, line 45 · Pierre, 1;8.13
    MOTouais .
    CHIwww .
    MOT*MOT: tu shootes , ouais !
    CHIwww .
    MOT0 .
  2. french/unkeler_pie10.cha, line 155 · Pierre, 1;8.13
    MOThein Pierre !
    MOTc'est quoi ça , c'est une (.) pomme .
    MOT*MOT: tu sais l(e) dire pomme .
    CHIwww .
    MOTdis , i(l) mange quoi une (.) pomme .
  3. french/unkeler_pie10.cha, line 165 · Pierre, 1;8.13
    MOTdis , i(l) mange quoi une (.) pomme .
    CHIwww .
    MOT*MOT: tu dis pas grand-chose aujourd'hui , t(u) es fatigué ?
    CHIwww .
    MOTune pomme quand_même .

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 french14.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/unkeler_pie10.chaPierre 1;8.132053314.63

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. tu3 · 100.0%