PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (517 utterances, 1,954 words searched).

  1. tell Gloria you have pretty curls # now ? MOT · eng_USA_Brown/sarah035.cha, line 73 · Sarah 2;10
  2. how did she make pretty curls ? GLO · eng_USA_Brown/sarah035.cha, line 172 · Sarah 2;10
  3. that's a good way to make curls . GLO · eng_USA_Brown/sarah035.cha, line 178 · Sarah 2;10
  4. more curls ? MOT · eng_USA_Brown/sarah035.cha, line 213 · Sarah 2;10
  5. ya like havin(g) curls ? MOT · eng_USA_Brown/sarah035.cha, line 228 · Sarah 2;10
  6. I want to see your curls . MOT · eng_USA_Brown/sarah035.cha, line 1464 · Sarah 2;10
  1. eng_USA_Brown/sarah035.cha, line 73 · Sarah, 2;10.24
    CHI0 .
    FATstill there ?
    MOT*MOT: tell Gloria you have pretty curls # now ?
    CHII got # p(ret)ty # curls .
    MOTwhat did Mommy do to you ?
  2. eng_USA_Brown/sarah035.cha, line 172 · Sarah, 2;10.24
    GLOwhat did Mommy do to you ?
    CHInothing .
    GLO*GLO: how did she make pretty curls ?
    CHIkick .
    GLOshe kicks ?
  3. eng_USA_Brown/sarah035.cha, line 178 · Sarah, 2;10.24
    CHIkick .
    GLOshe kicks ?
    GLO*GLO: that's a good way to make curls .
    GLOwhat's that ?
    CHIcurled .
  4. eng_USA_Brown/sarah035.cha, line 213 · Sarah, 2;10.24
    CHIfix hair .
    MOTwhat d(o) ya want ?
    MOT*MOT: more curls ?
    CHIyay !
    MOTwhy ?
  5. eng_USA_Brown/sarah035.cha, line 228 · Sarah, 2;10.24
    MOT(be)cause ya wanna do kicks ?
    MOTI don know if we can do anymore kicks .
    MOT*MOT: ya like havin(g) curls ?
    GLOwhat are kicks ?
    GLOoh # I put her head in the sink .
  6. eng_USA_Brown/sarah035.cha, line 1464 · Sarah, 2;10.24
    CHIyeah .
    MOTkind o(f) hot in here .
    MOT*MOT: I want to see your curls .
    CHII am a hold it .
    CHII am a hold it .

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_Brown3.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah035.chaSarah 2;10.241,954663.07

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. curls6 · 100.0%