PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

36.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (44 utterances, 165 words searched).

  1. I want to see . CH5 · bilingual_eng_french_Watkins/c3zan03.cha, line 14 · Christophe 6;09
  2. what do you want to see, Stéphanie ? MOT · bilingual_eng_french_Watkins/c3zan03.cha, line 16 · Christophe 6;09
  3. ah you said you want xx to meet <xx xx> [>] . CH5 · bilingual_eng_french_Watkins/c3zan03.cha, line 30 · Christophe 6;09
  4. do you want to make a xx flower ? MOT · bilingual_eng_french_Watkins/c3zan03.cha, line 41 · Christophe 6;09
  5. I don't really want it darling, I've got some already . GRA · bilingual_eng_french_Watkins/c3zan03.cha, line 48 · Christophe 6;09
  6. no we don't want to decide xxx . MOT · bilingual_eng_french_Watkins/c3zan03.cha, line 56 · Christophe 6;09
  1. CH5*CH5: I want to see .
    MOTStephanie, haven't you got anything more original to say ?
    MOTwhat do you want to see, Stéphanie ?
  2. CH5I want to see .
    MOTStephanie, haven't you got anything more original to say ?
    MOT*MOT: what do you want to see, Stéphanie ?
    CH5the camera .
    MOTwho do you think's in the camera ?
  3. GRA<take that> [<] off your head .
    MOTxx xx xx de Stéphanie .
    CH5*CH5: ah you said you want xx to meet <xx xx> [>] .
    MOT<ah yes> [<] here we are .
    CH5allô .
  4. GRAdo what ?
    CH5# she's getting up the flowers, and I'm putting it # on the grass .
    MOT*MOT: do you want to make a xx flower ?
    CH5which one ?
    MOTthat one .
  5. CH5this one xx .
    MOTyes take it to Nanny .
    GRA*GRA: I don't really want it darling, I've got some already .
    CH5for you .
    GRAwhat for ?
  6. GRAto do what ?
    CH5Mummy, put it in the bag .
    MOT*MOT: no we don't want to decide xxx .
    GRAto do what Stephanie ?
    CH5to take them to xx .

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. Christophe bilingual_eng_french_Watkins36.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c3zan03.chaChristophe 6;9.061656636.36

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. want6 · 100.0%