PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. are we going to put Olivier in there ? MOT · bilingual_eng_french_Watkins/b1charous02.cha, line 18 · Annick 2;08
  2. I think Olivier's a bit long don't you ? MOT · bilingual_eng_french_Watkins/b1charous02.cha, line 21 · Annick 2;08
  3. you [<] ask Olivier he will give it to you . MOT · bilingual_eng_french_Watkins/b1charous02.cha, line 27 · Annick 2;08
  1. 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 .
  2. CHINinny@c [*] put bien Dolly in .
    MOTThat's for your dollies is it, uhhuh .
    MOT*MOT: I think Olivier's a bit long don't you ?
    CHIxxx ça Dolly .
    CHIswim [//] swim+swim Dolly .
  3. CHIxx xx xx .
    CHIxx xx [>] .
    MOT*MOT: you [<] ask Olivier he will give it to you .
    MOTyou say please Ollie .
    MOTthank you Ollie .

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_Watkins25.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/b1charous02.chaAnnick 2;8.1183325.42

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. olivier3 · 100.0%