PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

13.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (72 utterances, 221 words searched).

  1. tu vas la chercher ? 84872_86988 MOT · french/lyon_nat11b.cha, line 47 · Nathan 1;05
  2. ah bah faut qu(e) t(u) ailles la chercher maint(e)nant . MOT · french/lyon_nat11b.cha, line 142 · Nathan 1;05
  3. attends Nanou j(e) vais t(e) chercher aut(re) chose . 301753_304213 MOT · french/lyon_nat11b.cha, line 217 · Nathan 1;05
  1. MOTallez grimpe .
    MOTje t'aide . 80738_84872
    MOT*MOT: tu vas la chercher ? 84872_86988
    MOTvas_y un deux trois ! 86988_88892
    MOTt(u) y vas ? 88892_90385
  2. MOTwww [= ! rit] .
    CHIwww [= ! rit] .
    MOT*MOT: ah bah faut qu(e) t(u) ailles la chercher maint(e)nant .
    MOTmoi j(e) suis trop fainéante . 175708_182288
    MOTah oui tu peux +... 182288_188590
  3. MOTbon . 300622_301753
    CHIwww [= ! râle] .
    MOT*MOT: attends Nanou j(e) vais t(e) chercher aut(re) chose . 301753_304213
    CHIwww [= ! pleure] . 304213_307265
    MOTtiens Nanou . 307265_317262

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 french13.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat11b.chaNathan 1;5.122213313.57

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. chercher3 · 100.0%