PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

2.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,126 utterances, 3,425 words searched).

  1. ok let's set it up like +/. MOT · downs-flusberg/billy02.cha, line 89
  2. like that. MOT · downs-flusberg/billy02.cha, line 91
  3. open it up like this. MOT · downs-flusberg/billy02.cha, line 220
  4. ok you wanna play with the spaceship like this? MOT · downs-flusberg/billy02.cha, line 355
  5. go like this. MOT · downs-flusberg/billy02.cha, line 472
  6. you like to inflict pain, <huh> [/?]? MOT · downs-flusberg/billy02.cha, line 605
  7. like that. MOT · downs-flusberg/billy02.cha, line 720
  8. like billy must be. MOT · downs-flusberg/billy02.cha, line 977
  9. they go <meow, mewo> [/?] meow like that. MOT · downs-flusberg/billy02.cha, line 1870
  1. MOTyeah, I you do <huh> [/?].
    CHIyeah.
    MOT*MOT: ok let's set it up like +/.
    MOT<oops> [/?] how do you it?
    MOTlike that.
  2. MOTok let's set it up like +/.
    MOT<oops> [/?] how do you it?
    MOT*MOT: like that.
    MOTand what is this?
    CHIturkey.
  3. MOTopen.
    MOTwhat's in there?
    MOT*MOT: open it up like this.
    MOTok.
    MOTput it in.
  4. MOTthere he ges.
    CHIthere.
    MOT*MOT: ok you wanna play with the spaceship like this?
    MOT<huh> [/?]?
    MOT<what's in> [/?] what's in here?
  5. MOTwhat's that?
    MOTit'sasmallworld.
    MOT*MOT: go like this.
    MOTwhen you dance.
    MOTwhat's this?
  6. MOTmy finger!
    MOT<ow ow ow> [/?]!
    MOT*MOT: you like to inflict pain, <huh> [/?]?
    MOT<ow ow ow> [/?]!
    MOT<ow ow ow> [/?]!
  7. MOTmy hair.
    MOTlook at my hair.
    MOT*MOT: like that.
    MOTbilly do his hair.
    MOTdon't hit.
  8. MOT<huh> [/?]?
    CHItired.
    MOT*MOT: like billy must be.
    CHItired.
    MOTbilly tired?
  9. MOT<meow, meow> [/?] meow.
    MOTwatch his nose.
    MOT*MOT: they go <meow, mewo> [/?] meow like that.
    MOTthat's how they talk.
    MOThis nose.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Billy downs-flusberg2.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/billy02.chaBilly 3,425992.63

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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