PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

5.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (188 utterances, 594 words searched).

  1. non Nanou . JEA · french/lyon_nat10b.cha, line 88 · Nathan 1;05
  2. ah non . MOT · french/lyon_nat10b.cha, line 246 · Nathan 1;05
  3. non ? MOT · french/lyon_nat10b.cha, line 404 · Nathan 1;05
  1. french/lyon_nat10b.cha, line 88 · Nathan, 1;5.8
    MOTbah viens ! 401032_401713
    JEAwww [= ! tousse] . 401713_403695
    JEA*JEA: non Nanou .
    MOT<bah: oui> [= ! à Jea] . 403695_406272
    MOT<main(te)nant c'est le tour de Nanou> [= ! à Jea] .
  2. french/lyon_nat10b.cha, line 246 · Nathan, 1;5.8
    MOT+< merci .
    JEAouais l'histoire du petit +//. 545520_549243
    MOT*MOT: ah non .
    MOTc'est pas ça .
    JEA+< chat . 549243_550742
  3. french/lyon_nat10b.cha, line 404 · Nathan, 1;5.8
    CHIwww [= ! crie] .
    CHIwww [= ! pleure] . 774582_782210
    MOT*MOT: non ?
    MOTallez . 782210_784392
    CHIwww [= ! pleure] . 784392_788187

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 french5.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat10b.chaNathan 1;5.8594335.05

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. non3 · 100.0%