PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (276 utterances, 778 words searched).

  1. bah maint(e)nant tu m'as vu faire . MOT · french/lyon_nat06b.cha, line 133 · Nathan 1;02
  2. t(u) as raison . 717298_723800 MOT · french/lyon_nat06b.cha, line 410 · Nathan 1;02
  3. xxx xxx ça décroche tout c(e) que t(u) as là . MOT · french/lyon_nat06b.cha, line 784 · Nathan 1;02
  1. MOTwww [= ! chante] . 275347_282933
    MOTah oui .
    MOT*MOT: bah maint(e)nant tu m'as vu faire .
    MOTon va +//. 282933_285465
    MOTtu veux qu'on mange de la cassette ?
  2. MOTwww [= ! rit] . 715305_716460
    MOToui . 716460_717298
    MOT*MOT: t(u) as raison . 717298_723800
    MOTtiens ! 723800_725943
    CHIwww [= ! gémit] . 725943_728063
  3. MOTmh . 1151703_1156185
    MOTtousse fort !
    MOT*MOT: xxx xxx ça décroche tout c(e) que t(u) as là .
    JEAvous ? 1156185_1158115
    MOT+< nous on mange quoi ?

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 french3.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat06b.chaNathan 1;2.26778333.86

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. as3 · 100.0%