PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (215 utterances, 892 words searched).

  1. eh on va faire un p(e)tit tour sur le pot ? MOT · french/lyon_nat35b.cha, line 498 · Nathan 2;07
  2. eh mais après tu vas pouvoir regarder Némo . MOT · french/lyon_nat35b.cha, line 811 · Nathan 2;07
  3. eh . 976615_979258 MOT · french/lyon_nat35b.cha, line 921 · Nathan 2;07
  1. CHIxxx .
    CHIon veut yyy on veut maman ! 585935_589293
    MOT*MOT: eh on va faire un p(e)tit tour sur le pot ?
    CHInon ! 589293_590492
    CHIje veux maman ! 590492_591952
  2. MOTallez <on enlève le tee_shirt@s:eng> [/] on enlève le tee_shirt@s:eng .
    CHInon ! 892603_896458
    MOT*MOT: eh mais après tu vas pouvoir regarder Némo .
    CHIoui . 896458_899010
    MOTc'est ça que tu veux ?
  3. MOTqu'est-ce que +/?
    MOTil est là .
    MOT*MOT: eh . 976615_979258
    MOTtiens .
    MOTtu le mets ?

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 french3.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat35b.chaNathan 2;7.6892333.36

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. eh3 · 100.0%