PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (426 utterances, 790 words searched).

  1. allez vas_y réessaye . 178128_180663 MOT · french/lyon_mas27a.cha, line 151 · Marilyn 2;02
  2. allez, vas_y main(te)nant tourne ta pièce . 719077_721960 MOT · french/lyon_mas27a.cha, line 873 · Marilyn 2;02
  3. allez . MOT · french/lyon_mas27a.cha, line 1444 · Marilyn 2;02
  1. french/lyon_mas27a.cha, line 151 · Marilyn, 2;2.15
    CHInon . 177423_178128
    CHIautre .
    MOT*MOT: allez vas_y réessaye . 178128_180663
    CHIautre . 180663_181767
    CHIvoilà . 181767_184367
  2. french/lyon_mas27a.cha, line 873 · Marilyn, 2;2.15
    MOTlà .
    MOTMickey i(l) va là comme . 716030_719077
    MOT*MOT: allez, vas_y main(te)nant tourne ta pièce . 719077_721960
    MOTtourne !
    CHIxxx non .
  3. french/lyon_mas27a.cha, line 1444 · Marilyn, 2;2.15
    MOT0 . 1206275_1207565
    CHIzut . 1207565_1210057
    MOT*MOT: allez .
    CHIzut . 1210057_1212018
    MOTdzyt@u .

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. Marilyn french3.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mas27a.chaMarilyn 2;2.15790333.80

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. allez3 · 100.0%