PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 995 words searched).

  1. mais [?] viens on va s(e) mettre par là ! MOT · french/lyon_tim10b.cha, line 128 · Tim 1;04
  2. viens [?] on va s(e) mettre par là . MOT · french/lyon_tim10b.cha, line 144 · Tim 1;04
  3. ah on va t(e) mettre par +... 1109510_1111880 MOT · french/lyon_tim10b.cha, line 1375 · Tim 1;04
  1. french/lyon_tim10b.cha, line 128 · Tim, 1;4.21
    MOTdans la ch(e)minée là c'est pas un peu: +...
    MOTnon .
    MOT*MOT: mais [?] viens on va s(e) mettre par là !
    CHI+< xxx .
    CHIyyy yyy . 80188_81645
  2. french/lyon_tim10b.cha, line 144 · Tim, 1;4.21
    MOTattends ! 83182_84663
    MOTattends ! 84663_88840
    MOT*MOT: viens [?] on va s(e) mettre par là .
    MOTmonte ! 88840_92217
    MOTxxx xxx xxx <c'est là> [?] . 92217_94700
  3. french/lyon_tim10b.cha, line 1375 · Tim, 1;4.21
    CHIwww [= ! petits cris] .
    MOTxxx monter sur ta chaise ?
    MOT*MOT: ah on va t(e) mettre par +... 1109510_1111880
    MOT(a)ttends [/] (a)ttends [/] (a)ttends !
    MOTxxx . 1111880_1113068

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 french3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim10b.chaTim 1;4.21995333.02

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. mettre3 · 100.0%