PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (376 utterances, 1,352 words searched).

  1. viens voir . 558840_560836 MOT · french/lyon_ana13a.cha, line 288 · Anais 1;06
  2. tu veux voir c(el)ui-là ? 560836_566463 MOT · french/lyon_ana13a.cha, line 291 · Anais 1;06
  3. <tu veux> [>] voir ? 806183_809343 MOT · french/lyon_ana13a.cha, line 652 · Anais 1;06
  1. CHIyyy . 555115_556676
    MOTtant_pis , on rangera après . 556676_558840
    MOT*MOT: viens voir . 558840_560836
    MOTtu veux voir c(el)ui-là ? 560836_566463
    CHIoui . 566463_567638
  2. MOTtant_pis , on rangera après . 556676_558840
    MOTviens voir . 558840_560836
    MOT*MOT: tu veux voir c(el)ui-là ? 560836_566463
    CHIoui . 566463_567638
    MOTviens . 567635_571103
  3. CHItu veux voir l(e) livre des princesses . 803943_806183
    CHI‹yyy [<]› .
    MOT*MOT: <tu veux> [>] voir ? 806183_809343
    MOTça c'est la princesse .
    MOTc'est qui ça ? 809340_818598

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. Anais french2.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana13a.chaAnais 1;6.211,352332.22

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. voir3 · 100.0%