PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.55 per 1,000 words of the child (CHI), in 1 of 1 transcripts (266 utterances, 927 words searched).

  1. Melissa don't know how to open it . CHI · eng_USA_Brown/sarah109.cha, line 129 · Sarah 4;05
  2. hey # it stick to my dress . CHI · eng_USA_Brown/sarah109.cha, line 390 · Sarah 4;05
  3. y(ou) know how to make a red light ? CHI · eng_USA_Brown/sarah109.cha, line 643 · Sarah 4;05
  4. want [//] y(ou) want me to make a bird ? CHI · eng_USA_Brown/sarah109.cha, line 922 · Sarah 4;05
  5. does a mouth (sup)posed to be right dere ? CHI · eng_USA_Brown/sarah109.cha, line 954 · Sarah 4;05
  6. yeah # but I don't (sup)posed to be like that . CHI · eng_USA_Brown/sarah109.cha, line 974 · Sarah 4;05
  7. y(ou) want me to get this off ? CHI · eng_USA_Brown/sarah109.cha, line 1025 · Sarah 4;05
  1. CHII know .
    MOTnow give it to Melissa .
    CHI*CHI: Melissa don't know how to open it .
    MOToh yes she does .
    MELI don't know how to open it ?
  2. CHI<will you> [//] y(ou) know what I'm goin(g) make now ?
    CHIwhere is it ?
    CHI*CHI: hey # it stick to my dress .
    MELwhy did it do that ?
    CHI(be)cause it have both lines # I guess .
  3. GAIyeah # thanks .
    MOTit took a long time to convince her .
    CHI*CHI: y(ou) know how to make a red light ?
    MOTnow she's afraid to say no .
    CHIsee # a little bunny+rabbit .
  4. MOTfeathers ?
    CHIyeah .
    CHI*CHI: want [//] y(ou) want me to make a bird ?
    MOTa bird ?
    CHIyeah .
  5. MELI know .
    MELwhy don't you draw another one ?
    CHI*CHI: does a mouth (sup)posed to be right dere ?
    MELif that's where you want it # it supposed to be there .
    MELthat's kind of a mixed up person .
  6. MELwhat if you had your nose down here ?
    MOTyou think you'd look kind o(f) silly ?
    CHI*CHI: yeah # but I don't (sup)posed to be like that .
    MOTSarah # Sarah don't scream .
    MELbetter watch out for that # Gail .
  7. CHII can get # this off .
    MELwhat ?
    CHI*CHI: y(ou) want me to get this off ?
    MELwhat for ?
    CHII caught it out .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown7.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.14927777.55

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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