PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 1,245 words searched).

  1. ya can play with them today # and if ya like them I'll bring them back next week # ok ? GAI · eng_USA_Brown/sarah102.cha, line 258 · Sarah 4;03
  2. and who's that # the other ? MEL · eng_USA_Brown/sarah102.cha, line 292 · Sarah 4;03
  3. see # and that's how they make bread # see ? FAT · eng_USA_Brown/sarah102.cha, line 473 · Sarah 4;03
  4. they put the wheat in the oven and they make bread . FAT · eng_USA_Brown/sarah102.cha, line 476 · Sarah 4;03
  5. look at you # you're brushed and sheddin(g) . MOT · eng_USA_Brown/sarah102.cha, line 589 · Sarah 4;03
  6. she's gettin(g) pretty good with a pencil and paper . MOT · eng_USA_Brown/sarah102.cha, line 1205 · Sarah 4;03
  1. CHIwhat ?
    CHIc(a)n I keep it ?
    GAI*GAI: ya can play with them today # and if ya like them I'll bring them back next week # ok ?
    CHIok .
    CHII can make a <&pup> [/] puppet+show .
  2. CHIyeah .
    GAIhis name is Dick Tracy .
    MEL*MEL: and who's that # the other ?
    CHII don't know .
    CHIhello .
  3. FATshe's # cutting the wheat to make the flour .
    CHIoh .
    FAT*FAT: see # and that's how they make bread # see ?
    FATthey put the wheat in the oven and they make bread .
    CHIdat's de store ?
  4. CHIoh .
    FATsee # and that's how they make bread # see ?
    FAT*FAT: they put the wheat in the oven and they make bread .
    CHIdat's de store ?
    FATno # that's the house # see ?
  5. FATtall horse .
    MOTyou just want to be pet .
    MOT*MOT: look at you # you're brushed and sheddin(g) .
    MOTnow .
    FATyou gonna read it ?
  6. GAIwhat do you need ?
    CHIa sun .
    MOT*MOT: she's gettin(g) pretty good with a pencil and paper .
    CHIdat how you write a sun ?
    MOThow you xxx a sun .

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_Brown4.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah102.chaSarah 4;3.261,245664.82

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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