PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (477 utterances, 1,510 words searched).

  1. j(e) te donne là-bas . MOT · french/lyon_tim27b.cha, line 262 · Tim 2;03
  2. j(e) vais te donner (.) un gâteau . 606922_612238 AME · french/lyon_tim27b.cha, line 948 · Tim 2;03
  3. tu vas glisser , tu vas te: +//. MOT · french/lyon_tim27b.cha, line 1044 · Tim 2;03
  1. CHI‹(.) yyy› veux manger dans la cuisine moi . 145737_148898
    MOTtiens ! 148898_150542
    MOT*MOT: j(e) te donne là-bas .
    CHI‹moi [= ! pleure]› . 150542_152637
    CHIxxx [= ! pleure] . 152637_159545
  2. AMEt(u) en prends tout hein .
    AMEsi tu veux on www [= ! li] échange . 604568_606922
    AME*AME: j(e) vais te donner (.) un gâteau . 606922_612238
    MOT<chut Ame tais-toi> [= ! à Ame] !
    AME+< donne !
  3. MOTassieds toi comme il faut: là: !
    AME+< il va pas manger tous les gâteaux quand même ?
    MOT*MOT: tu vas glisser , tu vas te: +//.
    MOTvoilà l(e) menton .
    CHIwww [= ! rit] . 668898_679548

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. Tim french1.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim27b.chaTim 2;3.91,510331.99

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. te3 · 100.0%