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. t(u) as vu ? MOT · french/geneva_14.cha, line 575 · Marie 2;03
  2. t(u) as vu les pattes ? MOT · french/geneva_14.cha, line 754 · Marie 2;03
  3. ah (.) t(u) as disparu Marie . MOT · french/geneva_14.cha, line 804 · Marie 2;03
  1. french/geneva_14.cha, line 575 · Marie, 2;3.03
    MOTnon (.) il n' est pas bien (.) Marie .
    MOTregarde les pattes !
    MOT*MOT: t(u) as vu ?
    MOTc'est pas un chat ça .
    MOTça c'est un chat .
  2. french/geneva_14.cha, line 754 · Marie, 2;3.03
    MOTet bien tu joues toute seule .
    MOTmoi je fais le chat .
    MOT*MOT: t(u) as vu les pattes ?
    MOTtu les mets (.) Marie ?
    CHImettre .
  3. french/geneva_14.cha, line 804 · Marie, 2;3.03
    CHIe@u t'assi(eds) s'il te plaît .
    CHItu pars pas (.) hein ?
    MOT*MOT: ah (.) t(u) as disparu Marie .
    MOTMarie .
    MOTMarie .

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. as3 · 100.0%