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. and now what's the little girl doing ? MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 53 · Olivier 2;08
  3. and now what kind of boat do you want to go in ? MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 88 · 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 53 · Olivier, 2;8.
    MOTlook he's going much too +...
    MOTha ha that's it .
    MOT*MOT: and now what's the little girl doing ?
    CHIgoing in the water .
    MOTuhhuh she's getting all wet .
  3. bilingual_eng_french_Watkins/b2charous04.cha, line 88 · Olivier, 2;8.
    MOTwe didn't go to sleep .
    CHIno .
    MOT*MOT: and now what kind of boat do you want to go in ?
    CHIthis one .
    MOTa kayak ?

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. now3 · 100.0%