PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.90 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (365 utterances, 1,035 words searched).

  1. éh: . 27055_30050 JEA · french/lyon_nat28b.cha, line 77 · Nathan 2;03
  2. non mais dis_don(c) éh . MOT · french/lyon_nat28b.cha, line 507 · Nathan 2;03
  3. éh . JEA · french/lyon_nat28b.cha, line 869 · Nathan 2;03
  1. french/lyon_nat28b.cha, line 77 · Nathan, 2;3.6
    JEAwww [= ! rit] . 24913_27055
    CHIyyy papa .
    JEA*JEA: éh: . 27055_30050
    FATqu'est-c(e) qu'i(l) y a ?
    CHIyyy .
  2. french/lyon_nat28b.cha, line 507 · Nathan, 2;3.6
    JEAnon .
    MOTpas celui là .
    MOT*MOT: non mais dis_don(c) éh .
    MOTwww [= ! souffle] .
    MOToh ça va mal s(e) passer c(e) matin .
  3. french/lyon_nat28b.cha, line 869 · Nathan, 2;3.6
    MOTtu commences déjà à dire des gros+mots ?
    CHIyyy . 443355_446172
    JEA*JEA: éh .
    CHI<yyy yyy yyy> [= ! rit] . 446172_448520
    CHIwww [= ! rit] .

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 french2.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat28b.chaNathan 2;3.61,035332.90

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. éh3 · 100.0%