PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. what's the matter ? GAI · eng_USA_Brown/sarah125.cha, line 17 · Sarah 4;09
  2. what's the matter with you ? MOT · eng_USA_Brown/sarah125.cha, line 154 · Sarah 4;09
  3. what's the little doggie's name that I have ? ANN · eng_USA_Brown/sarah125.cha, line 208 · Sarah 4;09
  4. yeah # and what's the other dog's name # Sheba ? ANN · eng_USA_Brown/sarah125.cha, line 224 · Sarah 4;09
  5. what's (th)e matter ? MOT · eng_USA_Brown/sarah125.cha, line 698 · Sarah 4;09
  6. y(ou) know what's gonna happen to you # huh ? MOT · eng_USA_Brown/sarah125.cha, line 724 · Sarah 4;09
  7. what's Ann_Marie drawing # Sarah ? MEL · eng_USA_Brown/sarah125.cha, line 1054 · Sarah 4;09
  8. what's that # Ann_Marie ? MOT · eng_USA_Brown/sarah125.cha, line 1107 · Sarah 4;09
  1. CHIxxx .
    GAI*GAI: what's the matter ?
    GAIwhat ?
    GAII can't hear you .
  2. MELwho ?
    MOTwho'd you go shoppin(g) with ?
    MOT*MOT: what's the matter with you ?
    MOTgo on .
    ANNxxx Donny ?
  3. CHId@l o@l g@l .
    ANNnot g@l o@l g@l .
    ANN*ANN: what's the little doggie's name that I have ?
    CHISheba ?
    ANNno # that's the big one .
  4. ANNand what is he ?
    CHIa French poodle .
    ANN*ANN: yeah # and what's the other dog's name # Sheba ?
    ANNoh # I said the name .
    CHISheba .
  5. CHII going +...
    MOTwatch it .
    MOT*MOT: what's (th)e matter ?
    MOTwhat are you going in there for ?
    CHII don't know why .
  6. MOTthere they are # right there .
    MOThuh ?
    MOT*MOT: y(ou) know what's gonna happen to you # huh ?
    CHIwhat ?
    MOTdon't pull my hair .
  7. ANNI'll make what I made in school today .
    ANNxxx .
    MEL*MEL: what's Ann_Marie drawing # Sarah ?
    CHIa whale .
    MELhow can you tell ?
  8. CHIgood .
    CHInow I got ta cut this out .
    MOT*MOT: what's that # Ann_Marie ?
    ANNa whale .
    MOToh # a whale .

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_Brown4.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah125.chaSarah 4;9.191,848884.33

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. what's8 · 100.0%