PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

2.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (403 utterances, 1,438 words searched).

  1. oh oh . 178303_183768 MOT · french/lyon_nat11a.cha, line 131 · Nathan 1;05
  2. oh oh . 178303_183768 MOT · french/lyon_nat11a.cha, line 131 · Nathan 1;05
  3. oh bah mon Nanou tu m(e) fais un câlin ? 456832_460967 MOT · french/lyon_nat11a.cha, line 339 · Nathan 1;05
  4. oh dodo le lapin . 1435458_1439087 MOT · french/lyon_nat11a.cha, line 1058 · Nathan 1;05
  1. MOTbling ! 165138_169175
    MOTwww [= ! chante] . 169175_178303
    MOT*MOT: oh oh . 178303_183768
    MOToù va-t-il ? 183768_186395
    CHIyyy .
  2. CHIyyy .
    MOT+< ah ah ah . 454748_456832
    MOT*MOT: oh bah mon Nanou tu m(e) fais un câlin ? 456832_460967
    MOTtu m(e) fais un câlin ? 460967_463658
    CHIyyy . 463658_465183
  3. MOTon le range ? 1432370_1434245
    MOTon le couche ? 1434245_1435458
    MOT*MOT: oh dodo le lapin . 1435458_1439087
    CHIyyy .
    MOTtu veux lire ça avec moi ?

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 french2.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat11a.chaNathan 1;5.121,438342.78

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. oh4 · 100.0%