PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (369 utterances, 1,521 words searched).

  1. attention ta tête ! 116378_121715 MOT · french/lyon_nat07b.cha, line 116 · Nathan 1;03
  2. à xxx (.) attention . 415732_422843 JEA · french/lyon_nat07b.cha, line 370 · Nathan 1;03
  3. +< mais fais attention mon Nanou ! MOT · french/lyon_nat07b.cha, line 1038 · Nathan 1;03
  1. JEA+< xxx .
    MOThein: (at)tention ta tête [//] !
    MOT*MOT: attention ta tête ! 116378_121715
    MOTviens !
    MOT<tu vas t(e) faire mal> [/] <tu vas te faire mal> [/] www [= ! rigole] .
  2. JEAwww [= ! rigole] .
    MOTcoucou ! 414692_415732
    JEA*JEA: à xxx (.) attention . 415732_422843
    CHI+< coucou !
    MOTcoucou !
  3. MOT+< c(e) qu'on va faire c'est qu'on va +//.
    MOT+< c'est l'heure de +...
    MOT*MOT: +< mais fais attention mon Nanou !
    MOTtu vas te faire mal !
    MOT+< allez arrête !

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 french1.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat07b.chaNathan 1;3.231,521331.97

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. attention3 · 100.0%