PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (222 utterances, 843 words searched).

  1. un oeuf . MOT · french/lyon_nat22b.cha, line 58 · Nathan 2;05
  2. tu me dis ça (.) oeuf ? MOT · french/lyon_nat22b.cha, line 61 · Nathan 2;05
  3. oeuf . 70338_72012 JEA · french/lyon_nat22b.cha, line 63 · Nathan 2;05
  4. oeuf . 72012_72742 MOT · french/lyon_nat22b.cha, line 65 · Nathan 2;05
  5. oeuf . 72742_75565 MOT · french/lyon_nat22b.cha, line 67 · Nathan 2;05
  1. CHIyyy .
    MOTnon pas une pomme . 65813_70338
    MOT*MOT: un oeuf .
    MOTtu me dis ça (.) oeuf ?
    JEAoeuf . 70338_72012
  2. MOTnon pas une pomme . 65813_70338
    MOTun oeuf .
    MOT*MOT: tu me dis ça (.) oeuf ?
    JEAoeuf . 70338_72012
    MOToeuf . 72012_72742
  3. MOTun oeuf .
    MOTtu me dis ça (.) oeuf ?
    JEA*JEA: oeuf . 70338_72012
    MOToeuf . 72012_72742
    MOToeuf . 72742_75565
  4. MOTtu me dis ça (.) oeuf ?
    JEAoeuf . 70338_72012
    MOT*MOT: oeuf . 72012_72742
    MOToeuf . 72742_75565
    MOTc'est dur à dire hein . 75565_77695
  5. JEAoeuf . 70338_72012
    MOToeuf . 72012_72742
    MOT*MOT: oeuf . 72742_75565
    MOTc'est dur à dire hein . 75565_77695
    MOTtu veux qu(e) je l'ouvre ? 77695_78690

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 french5.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat22b.chaNathan 2;5.18843555.93

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. oeuf5 · 100.0%