PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (398 utterances, 1,078 words searched).

  1. tu sais boire à la paille toi ? 132277_135763 MOT · french/lyon_nat10a.cha, line 116 · Nathan 1;05
  2. il a tout bu (.) avec sa paille . 149993_153107 MOT · french/lyon_nat10a.cha, line 135 · Nathan 1;05
  3. on va laisser tomber la paille . 1522920_1525555 MOT · french/lyon_nat10a.cha, line 1450 · Nathan 1;05
  1. MOTon va essayer aut(re) chose .
    MOTmais dis_don(c) . 123058_132277
    MOT*MOT: tu sais boire à la paille toi ? 132277_135763
    CHIwww [= ! tousse] . 135763_136828
    MOTxxx c'est dingue . 136828_141105
  2. MOTmh . 146665_149993
    MOTr(e)garde ça !
    MOT*MOT: il a tout bu (.) avec sa paille . 149993_153107
    MOTbah dis_don(c) . 153107_155077
    MOTxxx . 155077_156458
  3. CHI‹bravo [?]› .
    MOTbon écoute !
    MOT*MOT: on va laisser tomber la paille . 1522920_1525555
    MOTon va faire ça . 1525555_1526428
    CHIwww [= ! gémit] .

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. Nathan french2.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat10a.chaNathan 1;5.81,078332.78

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. paille3 · 100.0%