PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 903 words searched).

  1. i(l) faut arriver à pousser tout droit . 248118_271838 MOT · french/lyon_nat17a.cha, line 84 · Nathan 1;09
  2. on va aller se mett(r)e en short et tout . MOT · french/lyon_nat17a.cha, line 497 · Nathan 1;09
  3. bon i(l) faut que je ramène tout ici . 921122_924210 MOT · french/lyon_nat17a.cha, line 572 · Nathan 1;09
  1. MOTtu la renvoies . 245342_248118
    MOTi(l) faut arriver à pousser droit mon nanou .
    MOT*MOT: i(l) faut arriver à pousser tout droit . 248118_271838
    CHIyyy . 271838_272875
    MOTvoilà . 272875_276830
  2. CHIyyy . 873120_897505
    MOTet monsieur Nanou !
    MOT*MOT: on va aller se mett(r)e en short et tout .
    JEA+< monsieur Nanou là . 897505_902628
    CHInon . 902628_903247
  3. MOTsi . 919838_920515
    CHInon . 920515_921122
    MOT*MOT: bon i(l) faut que je ramène tout ici . 921122_924210
    CHIwww [= ! rire] . 924210_925348
    MOTc'est ça ? 925348_927170

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 french3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat17a.chaNathan 1;9.3903333.32

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. tout3 · 100.0%