PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (239 utterances, 884 words searched).

  1. tu les mets (.) Marie ? MOT · french/geneva_14.cha, line 756 · Marie 2;03
  2. mets les pattes ! MOT · french/geneva_14.cha, line 760 · Marie 2;03
  3. elle tient pas (.) si tu la mets comme ça . MOT · french/geneva_14.cha, line 916 · Marie 2;03
  1. french/geneva_14.cha, line 756 · Marie, 2;3.03
    MOTmoi je fais le chat .
    MOTt(u) as vu les pattes ?
    MOT*MOT: tu les mets (.) Marie ?
    CHImettre .
    MOTmets les pattes !
  2. french/geneva_14.cha, line 760 · Marie, 2;3.03
    MOTtu les mets (.) Marie ?
    CHImettre .
    MOT*MOT: mets les pattes !
    MOTbravo bravo Marie .
    CHIveux aller là .
  3. french/geneva_14.cha, line 916 · Marie, 2;3.03
    MOTtu vois ?
    MOTelle tombe .
    MOT*MOT: elle tient pas (.) si tu la mets comme ça .
    MOTtiens !
    MOTnon .

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. Marie french3.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/geneva_14.chaMarie 2;3.03884333.39

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. mets3 · 100.0%