PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 995 words searched).

  1. tu veux monter ? MOT · french/lyon_tim10b.cha, line 1265 · Tim 1;04
  2. et pourquoi tu veux monter ? 1050667_1053263 MOT · french/lyon_tim10b.cha, line 1267 · Tim 1;04
  3. xxx monter sur ta chaise ? MOT · french/lyon_tim10b.cha, line 1373 · Tim 1;04
  1. MOThein ?
    CHIyyy . 1049110_1050667
    MOT*MOT: tu veux monter ?
    MOTet pourquoi tu veux monter ? 1050667_1053263
    CHIyyy . 1053263_1055593
  2. CHIyyy . 1049110_1050667
    MOTtu veux monter ?
    MOT*MOT: et pourquoi tu veux monter ? 1050667_1053263
    CHIyyy . 1053263_1055593
    MOThein ? 1055593_1058185
  3. CHIxxx .
    CHIwww [= ! petits cris] .
    MOT*MOT: xxx monter sur ta chaise ?
    MOTah on va t(e) mettre par +... 1109510_1111880
    MOT(a)ttends [/] (a)ttends [/] (a)ttends !

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 french3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim10b.chaTim 1;4.21995333.02

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. monter3 · 100.0%