PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (380 utterances, 1,634 words searched).

  1. what were you telling me about that doll ? GAI · eng_USA_Brown/sarah107.cha, line 16 · Sarah 4;05
  2. where did you get that pretty doll # Kissy ? MOT · eng_USA_Brown/sarah107.cha, line 184 · Sarah 4;05
  3. from one doll to the other ? GAI · eng_USA_Brown/sarah107.cha, line 303 · Sarah 4;05
  4. from one doll to the other . MOT · eng_USA_Brown/sarah107.cha, line 305 · Sarah 4;05
  5. she got a doll house . MOT · eng_USA_Brown/sarah107.cha, line 609 · Sarah 4;05
  6. why don't ya go bring out your doll house . MOT · eng_USA_Brown/sarah107.cha, line 613 · Sarah 4;05
  1. eng_USA_Brown/sarah107.cha, line 16 · Sarah, 4;5.04
    CHIdo it have any buttons in the back ?
    GAII think it'll work now .
    GAI*GAI: what were you telling me about that doll ?
    CHIit's Kissy .
    MOTshow her how she works .
  2. eng_USA_Brown/sarah107.cha, line 184 · Sarah, 4;5.04
    CHIno .
    CHIsee ?
    MOT*MOT: where did you get that pretty doll # Kissy ?
    CHIfrom Christmas .
    GAIfrom Christmas ?
  3. eng_USA_Brown/sarah107.cha, line 303 · Sarah, 4;5.04
    GAIoh .
    MOTso they've been goin(g) from +...
    GAI*GAI: from one doll to the other ?
    MOTfrom one doll to the other .
    CHImy baking oven don't work .
  4. eng_USA_Brown/sarah107.cha, line 305 · Sarah, 4;5.04
    MOTso they've been goin(g) from +...
    GAIfrom one doll to the other ?
    MOT*MOT: from one doll to the other .
    CHImy baking oven don't work .
    GAIwhat ?
  5. eng_USA_Brown/sarah107.cha, line 609 · Sarah, 4;5.04
    CHIlike dat .
    CHIlike dat .
    MOT*MOT: she got a doll house .
    CHIyep .
    MOTwhy don't ya go bring out your doll house .
  6. eng_USA_Brown/sarah107.cha, line 613 · Sarah, 4;5.04
    MOTshe got a doll house .
    CHIyep .
    MOT*MOT: why don't ya go bring out your doll house .
    MOTwhat d(o) ya do # bang this leg again ?
    MOTyeah .

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_Brown3.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah107.chaSarah 4;5.041,634663.67

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.

  1. doll6 · 100.0%