PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (82 utterances, 354 words searched).

  1. mais non c(el)ui-là [//] tu l(e) mets dans l(e) wagon vert ? 286718_288880 MOT · french/lyon_tim21a.cha, line 342 · Tim 1;10
  2. mets les p(e)tits carrés comme ça . 305365_307565 MOT · french/lyon_tim21a.cha, line 368 · Tim 1;10
  1. MOTregarde . 280255_284008
    MOT<tiens tu peux mett(re) là ça> [= ! chuchote] . 284008_286718
    MOT*MOT: mais non c(el)ui-là [//] tu l(e) mets dans l(e) wagon vert ? 286718_288880
    MOTouais là ça s'accroche ici tiens dans le p(e)tit trou . 288880_293665
    CHI<petit trou> [>] ? 293667_295140
  2. MOTc(el)ui-là c'est les carrés . 301150_302508
    MOTtu vois ça f(orce) [//] ça force . 302508_305365
    MOT*MOT: mets les p(e)tits carrés comme ça . 305365_307565
    MOTtoc@o . 307565_308378
    CHInon . 308378_309383

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. Tim french5.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim21a.chaTim 1;10.19354225.65

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. mets2 · 100.0%