PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (375 utterances, 1,625 words searched).

  1. ok . ANN · eng_USA_Brown/sarah092.cha, line 151 · Sarah 4;01
  2. ok # you start gluing em in . MOT · eng_USA_Brown/sarah092.cha, line 806 · Sarah 4;01
  3. these are the ones to this one # ok ? ANN · eng_USA_Brown/sarah092.cha, line 1079 · Sarah 4;01
  4. ok # go ahead # put it up here . MOT · eng_USA_Brown/sarah092.cha, line 1187 · Sarah 4;01
  5. ok # my turn . MOT · eng_USA_Brown/sarah092.cha, line 1240 · Sarah 4;01
  1. CHIyeah .
    MOThow did you like school ?
    ANN*ANN: ok .
    ANNour teacher's nice .
    ANNwe have a teacher for every +/.
  2. MOTyou want me to punch some out for you ?
    CHIyeah .
    MOT*MOT: ok # you start gluing em in .
    MOTglue that .
    ANNd(o) you want me to cut this one ?
  3. MOTyou can't see up there .
    CHIyes sir .
    ANN*ANN: these are the ones to this one # ok ?
    ANNthese are the ones to this one .
    CHIhey # you .
  4. MOTxxx .
    ANNand this goes to this .
    MOT*MOT: ok # go ahead # put it up here .
    CHIare they gonna get married ?
    MOTyeah .
  5. MOTput his head in .
    MOTthat's enough .
    MOT*MOT: ok # my turn .
    CHII forgot something .
    CHIoh no # I didn't .

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_Brown3.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah092.chaSarah 4;1.181,625553.08

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. ok5 · 100.0%