PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (425 utterances, 1,572 words searched).

  1. what kind of dog ? KEN · eng_USA_Brown/sarah056.cha, line 14 · Sarah 3;04
  2. and a piece of paper ? KEN · eng_USA_Brown/sarah056.cha, line 67 · Sarah 3;04
  3. you gonna draw a picture of Chantilly ? KEN · eng_USA_Brown/sarah056.cha, line 70 · Sarah 3;04
  4. <on top of your draw> [//] on top o(f) your toy box . MOT · eng_USA_Brown/sarah056.cha, line 237 · Sarah 3;04
  5. Sarah # what kind of dog is that ? MOT · eng_USA_Brown/sarah056.cha, line 529 · Sarah 3;04
  6. oh # listen to this kind of a game . MOT · eng_USA_Brown/sarah056.cha, line 1485 · Sarah 3;04
  1. eng_USA_Brown/sarah056.cha, line 14 · Sarah, 3;4.01
    CHII heh hah a [//] a dog .
    KEN*KEN: what kind of dog ?
    CHIuh # I [/] I [/] I # have a dog named Chantilly .
    KENhow old is # she ?
  2. eng_USA_Brown/sarah056.cha, line 67 · Sarah, 3;4.01
    CHIplease .
    KENok .
    KEN*KEN: and a piece of paper ?
    KENyou gonna draw a picture of Chantilly ?
    CHIuh # hey # you w(r)ite on that one .
  3. eng_USA_Brown/sarah056.cha, line 70 · Sarah, 3;4.01
    KENok .
    KENand a piece of paper ?
    KEN*KEN: you gonna draw a picture of Chantilly ?
    CHIuh # hey # you w(r)ite on that one .
    KENno # Bugs scribbled on that .
  4. eng_USA_Brown/sarah056.cha, line 237 · Sarah, 3;4.01
    MOTno .
    CHII get my alphabet .
    MOT*MOT: <on top of your draw> [//] on top o(f) your toy box .
    CHIhid em .
    MOTin the box .
  5. eng_USA_Brown/sarah056.cha, line 529 · Sarah, 3;4.01
    GLO<I know he's chewing on something> [//] she's chewing on something .
    CHIa goo(d) boy .
    MOT*MOT: Sarah # what kind of dog is that ?
    CHIChantilly .
    MOTI know .
  6. eng_USA_Brown/sarah056.cha, line 1485 · Sarah, 3;4.01
    MOTnow you play games with Gloria .
    GLO<I'll give you> [//] I'll give you a letter .
    MOT*MOT: oh # listen to this kind of a game .
    GLOwhenever you say the word I'll give you a letter .
    GLOok .

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. Sarah eng_USA_Brown3.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah056.chaSarah 3;4.011,572663.82

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.

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