PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (245 utterances, 1,532 words searched).

  1. okay now you put the broom away be careful . MOT · bilingual_eng_Genesee/oli33b06m.cha, line 126 · Olivier 3;06
  2. you're awake now ! MOT · bilingual_eng_Genesee/oli33b06m.cha, line 357 · Olivier 3;06
  3. okay now we've seen your big bad wolf . MOT · bilingual_eng_Genesee/oli33b06m.cha, line 560 · Olivier 3;06
  4. Olivier listen to me now . MOT · bilingual_eng_Genesee/oli33b06m.cha, line 599 · Olivier 3;06
  5. now we can build our airplane . MOT · bilingual_eng_Genesee/oli33b06m.cha, line 891 · Olivier 3;06
  6. oh wow okay now I just have to make the rest of the [/] the plane . MOT · bilingual_eng_Genesee/oli33b06m.cha, line 1028 · Olivier 3;06
  1. MOTthank you thank you .
    CHI0.
    MOT*MOT: okay now you put the broom away be careful .
    MOTwatch [/] watch out for that .
    MOTcan you throw that piece of bagel in the garbage please ?
  2. MOThe's sleeping .
    CHI0.
    MOT*MOT: you're awake now !
    MOTit's a good thing .
    MOTI don't know how we would have finished building this house if you kept sleeping .
  3. MOTremember I asked you to settle down a little bit ?
    MOT(o)kay ?
    MOT*MOT: okay now we've seen your big bad wolf .
    MOTwe know that you're the biggest meanest biggest bad wolf .
    CHIoh .
  4. CHIyou gonna [: going to] cry .
    CHIcry .
    MOT*MOT: Olivier listen to me now .
    MOTdo you think you could be nice for a litlle bit ?
    MOTokay ?
  5. MOToh there it is okay .
    MOThere we go here we go .
    MOT*MOT: now we can build our airplane .
    MOTthere so we just look at the picture here and then we put it together see ?
    MOTyou go like this .
  6. CHIhe's made .
    MOThe's all made oh that's good .
    MOT*MOT: oh wow okay now I just have to make the rest of the [/] the plane .
    MOTyeah his hands are on .
    CHIyes .

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_Genesee3.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli33b06m.chaOlivier 3;06.091,532663.92

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. now6 · 100.0%