PHPCLANCHILDES with regular expressions

13 matches in 10 utterances

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

  1. is it a big or a small airplane ? MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 10 · Olivier 2;08
  2. you think it's Paris do you ? MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 24 · Olivier 2;08
  3. ha ha that's it . MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 52 · Olivier 2;08
  4. missed it . MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 59 · Olivier 2;08
  5. what have we done with it yes ? MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 61 · Olivier 2;08
  6. it's coming up isn't it ? MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 67 · Olivier 2;08
  7. it's coming up isn't it ? MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 67 · Olivier 2;08
  8. does it go very fast a kayak ? MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 92 · Olivier 2;08
  9. it does it makes lots of waves . MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 94 · Olivier 2;08
  10. it does it makes lots of waves . MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 94 · Olivier 2;08
  11. what time it is ? MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 130 · Olivier 2;08
  12. it looks like seven o'clock because the sky is all red and that means it… MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 134 · Olivier 2;08
  13. it looks like seven o'clock because the sky is all red and that means it's getting to be night time . MOT · bilingual_eng_french_Watkins/b2charous04.cha, line 134 · Olivier 2;08
  1. bilingual_eng_french_Watkins/b2charous04.cha, line 10 · Olivier, 2;8.
    MOTwhat are the people doing there ?
    CHIon 0an airplane .
    MOT*MOT: is it a big or a small airplane ?
    CHIa big airplane .
    MOTyour right hein .
  2. bilingual_eng_french_Watkins/b2charous04.cha, line 24 · Olivier, 2;8.
    MOTon where are they now ?
    CHIin Paris .
    MOT*MOT: you think it's Paris do you ?
    CHIyes .
    MOTwhat's this lady doing ?
  3. bilingual_eng_french_Watkins/b2charous04.cha, line 52 · Olivier, 2;8.
    MOTdo you know why ?
    MOTlook he's going much too +...
    MOT*MOT: ha ha that's it .
    MOTand now what's the little girl doing ?
    CHIgoing in the water .
  4. bilingual_eng_french_Watkins/b2charous04.cha, line 59 · Olivier, 2;8.
    MOTwhere's Olivier's favourite story about the man on the beach ?
    CHIman on the beach .
    MOT*MOT: missed it .
    CHIxx [= missed] it .
    MOTwhat have we done with it yes ?
  5. bilingual_eng_french_Watkins/b2charous04.cha, line 61 · Olivier, 2;8.
    MOTmissed it .
    CHIxx [= missed] it .
    MOT*MOT: what have we done with it yes ?
    CHIxxx .
    MOTwhat's this silly man do ?
  6. bilingual_eng_french_Watkins/b2charous04.cha, line 67 · Olivier, 2;8.
    MOTwhat about the sea ?
    CHIxx be coming up .
    MOT*MOT: it's coming up isn't it ?
    MOTand what about the man ?
    MOThas he got his eyes open ?
  7. bilingual_eng_french_Watkins/b2charous04.cha, line 92 · Olivier, 2;8.
    MOTa kayak ?
    CHIyes .
    MOT*MOT: does it go very fast a kayak ?
    CHIno .
    MOTit does it makes lots of waves .
  8. bilingual_eng_french_Watkins/b2charous04.cha, line 94 · Olivier, 2;8.
    MOTdoes it go very fast a kayak ?
    CHIno .
    MOT*MOT: it does it makes lots of waves .
    MOTand what does Nicky want to go in ?
    CHIa liner and a punt .
  9. bilingual_eng_french_Watkins/b2charous04.cha, line 130 · Olivier, 2;8.
    MOTif they're very very tall the bridge has to open up .
    MOTand there's a very big clock .
    MOT*MOT: what time it is ?
    CHIseven o'clock .
    MOTare you sure ?
  10. bilingual_eng_french_Watkins/b2charous04.cha, line 134 · Olivier, 2;8.
    MOTare you sure ?
    CHIyes .
    MOT*MOT: it looks like seven o'clock because the sky is all red and that means it's getting to be night time .
    MOTwhat does Olivier do at seven o'clock ?
    CHIwake up .

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_Watkins24.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/b2charous04.chaOlivier 2;8.523101324.86

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. it13 · 100.0%