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. tu veux qu(e) je me fâche . 841217_843698 MOT · french/lyon_nat17a.cha, line 455 · 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. ah oui je vois . 1416268_1418958 MOT · french/lyon_nat17a.cha, line 881 · Nathan 1;09
  1. MOTi(l) recommence ? 838475_838945
    MOTNat ! 838945_841217
    MOT*MOT: tu veux qu(e) je me fâche . 841217_843698
    CHInon . 843698_844963
    MOTallez viens . 844963_855843
  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. CHIcaca . 1398080_1411540
    MOTwww [= ! chante] . 1411540_1416268
    MOT*MOT: ah oui je vois . 1416268_1418958
    MOTwww [= ! chante] . 1418958_1426313
    MOTouille . 1426313_1440202

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. je3 · 100.0%