PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

33.90 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (18 utterances, 118 words searched).

  1. what are you going to do now ? MOT · bilingual_eng_french_Watkins/b1charous02.cha, line 9 · Annick 2;08
  2. are you going to make it nice and comfortable are you ? MOT · bilingual_eng_french_Watkins/b1charous02.cha, line 16 · Annick 2;08
  3. are you going to make it nice and comfortable are you ? MOT · bilingual_eng_french_Watkins/b1charous02.cha, line 16 · Annick 2;08
  4. are we going to put Olivier in there ? MOT · bilingual_eng_french_Watkins/b1charous02.cha, line 18 · Annick 2;08
  1. bilingual_eng_french_Watkins/b1charous02.cha, line 9 · Annick, 2;8.
    MOT*MOT: what are you going to do now ?
    CHINicky@c [*] did it .
    CHINicky@c [*] did it xx xx xx .
  2. bilingual_eng_french_Watkins/b1charous02.cha, line 16 · Annick, 2;8.
    CHI## blanket .
    CHINinny@c [*] 0aux making nice and comfortable .
    MOT*MOT: are you going to make it nice and comfortable are you ?
    CHIDolly .
    MOTare we going to put Olivier in there ?
  3. bilingual_eng_french_Watkins/b1charous02.cha, line 18 · Annick, 2;8.
    MOTare you going to make it nice and comfortable are you ?
    CHIDolly .
    MOT*MOT: are we going to put Olivier in there ?
    CHINinny@c [*] put bien Dolly in .
    MOTThat's for your dollies is it, uhhuh .

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. Annick bilingual_eng_french_Watkins33.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/b1charous02.chaAnnick 2;8.1183433.90

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. are4 · 100.0%