PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (484 utterances, 1,598 words searched).

  1. si tu veux , j(e) te donne un p(e)tit gâteau . 837755_839436 MOT · french/lyon_tim15a.cha, line 1092 · Tim 1;07
  2. un p(e)tit gâteau ? 846355_847551 MOT · french/lyon_tim15a.cha, line 1108 · Tim 1;07
  3. est-c(e) que tu veux <un gâteau> [>] ? 848950_851225 MOT · french/lyon_tim15a.cha, line 1112 · Tim 1;07
  1. MOTah [>] . 836675_837756
    CHI‹yyy [<]› .
    MOT*MOT: si tu veux , j(e) te donne un p(e)tit gâteau . 837755_839436
    CHIyyy . 839436_840343
    MOThein ? 840340_846355
  2. MOTnon non , pas xxx pas xxx .
    CHIwww [= ! pleurniche] .
    MOT*MOT: un p(e)tit gâteau ? 846355_847551
    CHIwww [= ! pleure] .
    CHIwww [= ! pleure] . 847551_848950
  3. CHIwww [= ! pleure] .
    CHIwww [= ! pleure] . 847551_848950
    MOT*MOT: est-c(e) que tu veux <un gâteau> [>] ? 848950_851225
    CHIwww [= ! pleurniche] .
    CHI<yyy faim> [<] .

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 french1.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim15a.chaTim 1;7.81,598331.88

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. gâteau3 · 100.0%