PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

5.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (139 utterances, 564 words searched).

  1. il est sale hein ! MOT · french/unkeler_pie19.cha, line 162 · Pierre 2;01
  2. mais fais attention d(e) pas cogner hein ! MOT · french/unkeler_pie19.cha, line 452 · Pierre 2;01
  3. t(u) es un grand toi hein vas_y ! MOT · french/unkeler_pie19.cha, line 489 · Pierre 2;01
  1. french/unkeler_pie19.cha, line 162 · Pierre, 2;1.10
    MOToh il est sale !
    CHIwww .
    MOT*MOT: il est sale hein !
    CHIwww .
    MOTun oiseau ?
  2. french/unkeler_pie19.cha, line 452 · Pierre, 2;1.10
    MOT(il) y en a deux poissons sous la table , trois même !
    MOTi(ls) sont sous la table .
    MOT*MOT: mais fais attention d(e) pas cogner hein !
    CHIwww .
    MOTvas_y poussin , dans l'aut(r)e sens .
  3. french/unkeler_pie19.cha, line 489 · Pierre, 2;1.10
    MOTdans l'aut(r)e sens , dans l'aut(r)e sens .
    MOTmais mets le toi !
    MOT*MOT: t(u) es un grand toi hein vas_y !
    CHIwww .
    MOTc'est bien .

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. Pierre french5.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/unkeler_pie19.chaPierre 2;1.10564335.32

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. hein3 · 100.0%