PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

5.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (88 utterances, 523 words searched).

  1. on where are they now ? MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 22 · Olivier 2;08
  2. where are the children ? MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 43 · Olivier 2;08
  3. where's Olivier's favourite story about the man on the beach ? MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 57 · Olivier 2;08
  1. bilingual_eng_french_Watkins/b2charous04.cha, line 22 · Olivier, 2;8.
    MOTthat's right .
    MOTand the next page .
    MOT*MOT: on where are they now ?
    CHIin Paris .
    MOTyou think it's Paris do you ?
  2. bilingual_eng_french_Watkins/b2charous04.cha, line 43 · Olivier, 2;8.
    MOTthat's right, and the children ?
    CHIah .
    MOT*MOT: where are the children ?
    CHIlà .
    MOTare they on a roundabout ?
  3. bilingual_eng_french_Watkins/b2charous04.cha, line 57 · Olivier, 2;8.
    MOTuhhuh she's getting all wet .
    CHIwet .
    MOT*MOT: where's Olivier's favourite story about the man on the beach ?
    CHIman on the beach .
    MOTmissed it .

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. Olivier bilingual_eng_french_Watkins5.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/b2charous04.chaOlivier 2;8.523335.74

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. where3 · 100.0%