PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 1,848 words searched).

  1. huh ? MOT · eng_USA_Brown/sarah125.cha, line 160 · Sarah 4;09
  2. huh ? MOT · eng_USA_Brown/sarah125.cha, line 721 · Sarah 4;09
  3. y(ou) know what's gonna happen to you # huh ? MOT · eng_USA_Brown/sarah125.cha, line 724 · Sarah 4;09
  4. huh ? MOT · eng_USA_Brown/sarah125.cha, line 756 · Sarah 4;09
  5. huh ? ANN · eng_USA_Brown/sarah125.cha, line 967 · Sarah 4;09
  6. it's too early for an all white dress # huh ? MOT · eng_USA_Brown/sarah125.cha, line 1026 · Sarah 4;09
  1. eng_USA_Brown/sarah125.cha, line 160 · Sarah, 4;9.19
    MOTgo on .
    ANNxxx Donny ?
    MOT*MOT: huh ?
    ANNwho'd ya go with ?
    MOT<if you don't> [//] hey # Sarah .
  2. eng_USA_Brown/sarah125.cha, line 721 · Sarah, 4;9.19
    MOTthe wild ones .
    MOTthere they are # right there .
    MOT*MOT: huh ?
    MOTy(ou) know what's gonna happen to you # huh ?
    CHIwhat ?
  3. eng_USA_Brown/sarah125.cha, line 724 · Sarah, 4;9.19
    MOTthere they are # right there .
    MOThuh ?
    MOT*MOT: y(ou) know what's gonna happen to you # huh ?
    CHIwhat ?
    MOTdon't pull my hair .
  4. eng_USA_Brown/sarah125.cha, line 756 · Sarah, 4;9.19
    MOT(be)cause you're gettin(g) to act like a little boy .
    CHIgirls (sup)posed to have belts ?
    MOT*MOT: huh ?
    CHIgirls (sup)posed to have belts ?
    MOTbelts ?
  5. eng_USA_Brown/sarah125.cha, line 967 · Sarah, 4;9.19
    CHIa c@l .
    MELare you gonna write a story ?
    ANN*ANN: huh ?
    MELare you gonna write a story ?
    ANNuhuh .
  6. eng_USA_Brown/sarah125.cha, line 1026 · Sarah, 4;9.19
    CHInow gi(ve) me my pencil .
    CHInow I'm goin(g) make a valentine today .
    MOT*MOT: it's too early for an all white dress # huh ?
    MELit shouldn't be .
    MOTit shouldn't be but it's awful cold .

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_Brown3.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah125.chaSarah 4;9.191,848663.25

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. huh6 · 100.0%