PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. bon . 826577_828228 MOT · french/lyon_nat17a.cha, line 446 · Nathan 1;09
  2. bon i(l) faut que je ramène tout ici . 921122_924210 MOT · french/lyon_nat17a.cha, line 572 · Nathan 1;09
  3. bon (.) très bien . 928348_929707 MOT · french/lyon_nat17a.cha, line 582 · Nathan 1;09
  4. bon . 1386970_1389308 MOT · french/lyon_nat17a.cha, line 871 · Nathan 1;09
  5. bon . 1625238_1625857 MOT · french/lyon_nat17a.cha, line 986 · Nathan 1;09
  1. MOTviens ! 825282_825932
    CHIyyy . 825932_826577
    MOT*MOT: bon . 826577_828228
    MOTqu'est-c(e) qu'i(l) fait ? 828228_838475
    MOTi(l) recommence ? 838475_838945
  2. 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
  3. MOTc'est ça ? 925348_927170
    CHInon . 927170_928348
    MOT*MOT: bon (.) très bien . 928348_929707
    CHIyyy . 929707_958147
    MOTaller monsieur Nanou . 958147_969410
  4. MOTsi . 1384448_1385557
    CHInon . 1385557_1386970
    MOT*MOT: bon . 1386970_1389308
    MOTalors on repart . 1389308_1398080
    CHIcaca . 1398080_1411540
  5. MOTaux couleurs de la France en_plus . 1620880_1622658
    CHIyyy . 1622658_1625025
    MOT*MOT: bon . 1625238_1625857

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 french5.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat17a.chaNathan 1;9.3903555.54

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. bon5 · 100.0%