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. c'est pas une bonne idée ça . MOT · french/lyon_tim10b.cha, line 420 · Tim 1;04
  2. la bonne blague . MOT · french/lyon_tim10b.cha, line 817 · Tim 1;04
  3. la bonne blague . MOT · french/lyon_tim10b.cha, line 820 · Tim 1;04
  1. french/lyon_tim10b.cha, line 420 · Tim, 1;4.21
    MOTça +...
    MOToh .
    MOT*MOT: c'est pas une bonne idée ça .
    MOTc'est pas marrant ça . 279457_282643
    MOTxxx xxx xxx . 282643_286077
  2. french/lyon_tim10b.cha, line 817 · Tim, 1;4.21
    CHIwww [= ! rit] . 683668_685433
    MOTwww [= ! embrasse Tim] . 685433_687662
    MOT*MOT: la bonne blague .
    MOTwww [= ! embrasse Tim] . 687662_689243
    MOTla bonne blague .
  3. french/lyon_tim10b.cha, line 820 · Tim, 1;4.21
    MOTla bonne blague .
    MOTwww [= ! embrasse Tim] . 687662_689243
    MOT*MOT: la bonne blague .
    CHIencore . 689243_691225
    MOTencore ? 691225_691995

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. bonne3 · 100.0%