PHPCLANCHILDES with regular expressions

5 matches in 3 utterances

3.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (374 utterances, 1,556 words searched).

  1. eh où tu vas mon Nanou ? 590105_597020 MOT · french/lyon_nat09b.cha, line 490 · Nathan 1;04
  2. eh eh doucement ! 1346465_1353395 MOT · french/lyon_nat09b.cha, line 958 · Nathan 1;04
  3. eh eh doucement ! 1346465_1353395 MOT · french/lyon_nat09b.cha, line 958 · Nathan 1;04
  4. eh oh eh p(e)tit bonhomme ! 1353395_1356948 MOT · french/lyon_nat09b.cha, line 960 · Nathan 1;04
  5. eh oh eh p(e)tit bonhomme ! 1353395_1356948 MOT · french/lyon_nat09b.cha, line 960 · Nathan 1;04
  1. MOTdes points si tu préfères . 585628_587707
    MOTy en a un qui a des rayures et l'autre qui a des points . 587707_590105
    MOT*MOT: eh où tu vas mon Nanou ? 590105_597020
    MOTNat ? 597020_598742
    MOToù tu vas ? 598742_600350
  2. MOThop .
    MOTnon [/] non Nanou <laisse les> [/] laisse les . 1343275_1346465
    MOT*MOT: eh eh doucement ! 1346465_1353395
    MOTeh oh eh p(e)tit bonhomme ! 1353395_1356948
    MOTcommence pas à t'énerver là .
  3. MOTnon [/] non Nanou <laisse les> [/] laisse les . 1343275_1346465
    MOTeh eh doucement ! 1346465_1353395
    MOT*MOT: eh oh eh p(e)tit bonhomme ! 1353395_1356948
    MOTcommence pas à t'énerver là .
    MOTNat viens là . 1356948_1358355

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 french3.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat09b.chaNathan 1;4.231,556353.21

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. eh5 · 100.0%