PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (194 utterances, 736 words searched).

  1. si tu fermes tu vas abîmer le truc là . MOT · french/lyon_nat15b.cha, line 169 · Nathan 1;07
  2. ah ça fait du bien c(e) truc . 521900_525043 MOT · french/lyon_nat15b.cha, line 359 · Nathan 1;07
  1. french/lyon_nat15b.cha, line 169 · Nathan, 1;7.22
    MOTrecule toi . 280662_284763
    FATxxx xxx xxx xxx .
    MOT*MOT: si tu fermes tu vas abîmer le truc là .
    MOTviens avec moi . 284763_291700
    MOTviens [/] viens .
  2. french/lyon_nat15b.cha, line 359 · Nathan, 1;7.22
    MOTcomme ça . 518637_520863
    MOTcomme ça . 520863_521900
    MOT*MOT: ah ça fait du bien c(e) truc . 521900_525043
    MOTah c'est bon . 525043_533108
    MOTc'est frais . 533108_565177

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 french2.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat15b.chaNathan 1;7.22736222.72

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. truc2 · 100.0%