PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (256 utterances, 1,085 words searched).

  1. si elle est bonne ! MOT · french/lyon_nat07a.cha, line 363 · Nathan 1;03
  2. pas bonne ta soupe . 701602_710837 MOT · french/lyon_nat07a.cha, line 368 · Nathan 1;03
  3. +< elle est bonne ? MOT · french/lyon_nat07a.cha, line 379 · Nathan 1;03
  1. MOTet la soupe (.) y en a partout ! 695048_698987
    MOTet fais voir comme e(lle) +//. 698987_701602
    MOT*MOT: si elle est bonne !
    MOTbou: bah: www [= ! crache] !
    MOTpas bonne ta soupe . 701602_710837
  2. MOTsi elle est bonne !
    MOTbou: bah: www [= ! crache] !
    MOT*MOT: pas bonne ta soupe . 701602_710837
    CHI+< www [= ! rit] .
    JEA+< www [= ! rigole] .
  3. JEAmoi j(e) veux goûter: ! 710847_715683
    JEA<elle est> [/] elle est +/.
    MOT*MOT: +< elle est bonne ?
    MOTwww [= ! bruit de bouche] .
    MOTtiens ! 715683_718027

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 french2.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat07a.chaNathan 1;3.231,085332.76

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%