PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

23.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (17 utterances, 84 words searched).

  1. [- to GRA] and she said um Monica is bronzée ? MOT · bilingual_eng_french_Watkins/c3zan04.cha, line 12 · Stephanie 4;08
  2. …t that [/] that's the real colour of her skin and Monica is um black, she comes from a black country . MOT · bilingual_eng_french_Watkins/c3zan04.cha, line 14 · Stephanie 4;08
  1. bilingual_eng_french_Watkins/c3zan04.cha, line 12 · Stephanie, 4;8.28
    MOTsay that in english, it's so sweet .
    MOT*MOT: [- to GRA] and she said um Monica is bronzée ?
    CHIyes .
    MOTMonica is bronzée, but that [/] that's the real colour of her skin and Monica is um black, she comes from a black country .
  2. bilingual_eng_french_Watkins/c3zan04.cha, line 14 · Stephanie, 4;8.28
    MOT[- to GRA] and she said um Monica is bronzée ?
    CHIyes .
    MOT*MOT: Monica is bronzée, but that [/] that's the real colour of her skin and Monica is um black, she comes from a black country .
    CHIand even we asked her, we did a party, not a real one, we went to la tenneuse [?] .
    MOTla terreur ?

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. Stephanie bilingual_eng_french_Watkins23.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c3zan04.chaStephanie 4;8.28842223.81

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. she2 · 100.0%