PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (164 utterances, 790 words searched).

  1. ah mais non j'ai dit [//] attends . MOT · french/lyon_nat25b.cha, line 444 · Nathan 2;10
  2. attends j(e) vais t'en donner un peu . 671430_673008 MOT · french/lyon_nat25b.cha, line 476 · Nathan 2;10
  1. MOT<le vétérinaire met un gant de latex et> [= ! récite] +/. 580223_593447
    MOT<et (..) i(l) plonge la main (..) dans (..) la bouche (..) de Georges> [= ! récite] . 593447_604942
    MOT*MOT: ah mais non j'ai dit [//] attends .
    MOT<alors le vétérinaire dit: nous devons voir ce qui se passe au fin fond de Georges> [= ! récite] . 604942_608805
    MOT<allez aboie Georges> [= ! récite] . 608805_610795
  2. MOTtu veux du pain en_plus des pâtes ? 667483_669953
    MOTt(u) as faim ? 669953_671430
    MOT*MOT: attends j(e) vais t'en donner un peu . 671430_673008
    MOTtiens Nanou . 673008_675807
    MOTon finit et j(e) vais t(e) donner un bout de pain après .

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 french2.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat25b.chaNathan 2;10.23790222.53

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. attends2 · 100.0%