PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,438 words searched).

  1. est-ce qu'on se peigne le nez enfin ? 340153_342725 MOT · french/lyon_nat19a.cha, line 335 · Nathan 1;10
  2. mhm mhm bon on va retourner se changer alors ? 1360902_1364992 MOT · french/lyon_nat19a.cha, line 1022 · Nathan 1;10
  1. french/lyon_nat19a.cha, line 335 · Nathan, 1;10.19
    MOTon s(e) peigne pas le nez ! 334848_337465
    CHIwww [= ! rit] . 337465_340153
    MOT*MOT: est-ce qu'on se peigne le nez enfin ? 340153_342725
    MOTmais non ! 342725_344927
    MOTpas du tout !
  2. french/lyon_nat19a.cha, line 1022 · Nathan, 1;10.19
    CHI‹non [/]› non ! 1358942_1360902
    MOTnon mais si !
    MOT*MOT: mhm mhm bon on va retourner se changer alors ? 1360902_1364992
    MOTt(u) attends d'avoir ta couche propre du matin si j(e) comprends bien . 1364992_1373900
    MOTc'est ça ?

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 french1.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat19a.chaNathan 1;10.191,438221.39

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. se2 · 100.0%