PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (282 utterances, 998 words searched).

  1. comment tu veux que change la couche Nanou . 248747_252618 MOT · french/lyon_nat23b.cha, line 270 · Nathan 2;00
  2. tu veux savoir les lettres avant de savoir parler ? 653582_656442 MOT · french/lyon_nat23b.cha, line 652 · Nathan 2;00
  3. t(u) en veux pas ? 1372798_1375867 MOT · french/lyon_nat23b.cha, line 1007 · Nathan 2;00
  1. MOTwww [= ! chante] . 242780_248747
    MOTbon allonge toi !
    MOT*MOT: comment tu veux que change la couche Nanou . 248747_252618
    MOT<allonge toi> [/] <allonge toi> [/] www [= ! chante] .
    CHIwww [= ! rire] .
  2. MOToui c@l . 649952_651613
    MOTwww [= ! rire] Touti . 651613_653582
    MOT*MOT: tu veux savoir les lettres avant de savoir parler ? 653582_656442
    MOTmh . 656442_657165
    MOThein ! 657165_659430
  3. MOTce soir d'accord mais pas main(te)nant . 1368068_1371350
    CHIj'en veux pas . 1371350_1372798
    MOT*MOT: t(u) en veux pas ? 1372798_1375867
    MOTbon donne le moi . 1375867_1379478
    CHIyyy . 1379478_1386202

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 french3.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat23b.chaNathan 2;0.15998333.01

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. veux3 · 100.0%