PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (406 utterances, 1,200 words searched).

  1. le joli chapeau . MOT · french/lyon_nat04a.cha, line 224 · Nathan 1;01
  2. un joli chapeau pour mon Nanou . 239253_241163 MOT · french/lyon_nat04a.cha, line 228 · Nathan 1;01
  3. un joli chapeau pour mon bébé . 245032_248742 MOT · french/lyon_nat04a.cha, line 234 · Nathan 1;01
  1. MOTbing . 233590_235462
    MOToh: attends ! 235462_239253
    MOT*MOT: le joli chapeau .
    MOTregarde ça !
    MOTun joli chapeau pour mon Nanou . 239253_241163
  2. MOTle joli chapeau .
    MOTregarde ça !
    MOT*MOT: un joli chapeau pour mon Nanou . 239253_241163
    MOTbada_boum@o . 241163_245032
    MOTun joli chapeau pour mon bébé . 245032_248742
  3. MOTun joli chapeau pour mon Nanou . 239253_241163
    MOTbada_boum@o . 241163_245032
    MOT*MOT: un joli chapeau pour mon bébé . 245032_248742
    MOTblang@o . 248742_250180
    MOTouais: . 266200_268915

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 french2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat04a.chaNathan 1;1.241,200332.50

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. chapeau3 · 100.0%