PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,623 words searched).

  1. xxx come back . MOT · eng_USA_Brown/sarah112.cha, line 622 · Sarah 4;06
  2. are you taking it back with you ? MOT · eng_USA_Brown/sarah112.cha, line 1009 · Sarah 4;06
  3. I'm taking it back . GAI · eng_USA_Brown/sarah112.cha, line 1011 · Sarah 4;06
  4. haven't got it back yet ? MOT · eng_USA_Brown/sarah112.cha, line 1016 · Sarah 4;06
  5. supposed to go back to work next month . MOT · eng_USA_Brown/sarah112.cha, line 1055 · Sarah 4;06
  1. eng_USA_Brown/sarah112.cha, line 622 · Sarah, 4;6.05
    CHI0 .
    GAIwhat did you do ?
    MOT*MOT: xxx come back .
    MOTSarah # it's gonna land right in the sink .
    MOTnow stop it .
  2. eng_USA_Brown/sarah112.cha, line 1009 · Sarah, 4;6.05
    CHIit has +...
    MOT<you're not> [//] # you're gonna leave that here ?
    MOT*MOT: are you taking it back with you ?
    GAII'm taking it back .
    MOTyou didn't get the other one fixed yet # huh ?
  3. eng_USA_Brown/sarah112.cha, line 1011 · Sarah, 4;6.05
    MOT<you're not> [//] # you're gonna leave that here ?
    MOTare you taking it back with you ?
    GAI*GAI: I'm taking it back .
    MOTyou didn't get the other one fixed yet # huh ?
    MOThaven't got it back yet ?
  4. eng_USA_Brown/sarah112.cha, line 1016 · Sarah, 4;6.05
    GAII'm taking it back .
    MOTyou didn't get the other one fixed yet # huh ?
    MOT*MOT: haven't got it back yet ?
    GAIyes # but someone else is using it .
    MOTdo you have one at home so you don't have to keep dragging it around with ya ?
  5. eng_USA_Brown/sarah112.cha, line 1055 · Sarah, 4;6.05
    MOThe'd been doin(g) fine .
    MOThe was home (a)n(d) everything .
    MOT*MOT: supposed to go back to work next month .
    MOThe died of <uh instant> [//] # uh no # quick pneumonia .
    GAImmhm .

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_Brown3.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah112.chaSarah 4;6.051,623553.08

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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