PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

10.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (234 utterances, 859 words searched).

  1. what're you doing ? MOT · eng_USA_Brown/sarah039.cha, line 24 · Sarah 2;11
  2. what're you eating ? MOT · eng_USA_Brown/sarah039.cha, line 26 · Sarah 2;11
  3. what're you doing ? MOT · eng_USA_Brown/sarah039.cha, line 386 · Sarah 2;11
  4. what're you doing ? MOT · eng_USA_Brown/sarah039.cha, line 428 · Sarah 2;11
  5. what're you doing ? MOT · eng_USA_Brown/sarah039.cha, line 790 · Sarah 2;11
  6. what're you gonna play ? MOT · eng_USA_Brown/sarah039.cha, line 810 · Sarah 2;11
  7. what're you doing ? MOT · eng_USA_Brown/sarah039.cha, line 853 · Sarah 2;11
  8. now what're you gonna do ? MOT · eng_USA_Brown/sarah039.cha, line 892 · Sarah 2;11
  9. what're you doing ? MOT · eng_USA_Brown/sarah039.cha, line 901 · Sarah 2;11
  1. CHIwhat ?
    MOTjust wanted to know where you were .
    MOT*MOT: what're you doing ?
    MOTwhat're you eating ?
    CHIcake .
  2. MOTjust wanted to know where you were .
    MOTwhat're you doing ?
    MOT*MOT: what're you eating ?
    CHIcake .
    MOTcake ?
  3. CHIMummy +...
    MOTwhat ?
    MOT*MOT: what're you doing ?
    CHII got boo+boo .
    MOTwhat ?
  4. COUthank+you .
    CHIdis # cow .
    MOT*MOT: what're you doing ?
    CHIplaying !
    MOToh .
  5. MOTI don't know where we're gonna put them all when they come home .
    CHIyeah .
    MOT*MOT: what're you doing ?
    CHInothing .
    MOTwell # c(o)me (h)ere .
  6. CHIplay .
    MOTyou gonna play !
    MOT*MOT: what're you gonna play ?
    CHIum # toys .
    MOTwhyn't [: why don't] you put some of these away # you can't +...
  7. MOTyou can't even move .
    CHI0 .
    MOT*MOT: what're you doing ?
    MOTcleaning your room ?
    CHIyeah # no .
  8. MOTyou having fun ?
    CHIyeah .
    MOT*MOT: now what're you gonna do ?
    MOTwhat's that ?
    CHIa bogey+man .
  9. CHIa bogey+man .
    MOTbogey+man ?
    MOT*MOT: what're you doing ?
    CHIcut dis .
    MOTcutting this ?

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_Brown10.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah039.chaSarah 2;11.308599910.48

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're9 · 100.0%