PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. <ah yes> [<] here we are . MOT · bilingual_eng_french_Watkins/c3zan03.cha, line 31 · Christophe 6;09
  2. yes . MOT · bilingual_eng_french_Watkins/c3zan03.cha, line 45 · Christophe 6;09
  3. yes take it to Nanny . MOT · bilingual_eng_french_Watkins/c3zan03.cha, line 47 · Christophe 6;09
  4. yes . GRA · bilingual_eng_french_Watkins/c3zan03.cha, line 52 · Christophe 6;09
  1. MOTxx xx xx de Stéphanie .
    CH5ah you said you want xx to meet <xx xx> [>] .
    MOT*MOT: <ah yes> [<] here we are .
    CH5allô .
    CH5I like <these flowers> [>] .
  2. MOTthat one .
    CH5this one ?
    MOT*MOT: yes .
    CH5this one xx .
    MOTyes take it to Nanny .
  3. MOTyes .
    CH5this one xx .
    MOT*MOT: yes take it to Nanny .
    GRAI don't really want it darling, I've got some already .
    CH5for you .
  4. GRAwhat for ?
    CH5those [: thats] flowers .
    GRA*GRA: yes .
    CH5for you .
    GRAto do what ?

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_Watkins24.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c3zan03.chaChristophe 6;9.061654424.24

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. yes4 · 100.0%