PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,264 words searched).

  1. your # oh that's a mike # that's not a Michael # honey # it's a mike . MOT · eng_USA_Brown/sarah009.cha, line 335 · Sarah 2;04
  2. oh # it won't ? MOT · eng_USA_Brown/sarah009.cha, line 358 · Sarah 2;04
  3. oh # Santa_Claus # yeah . MOT · eng_USA_Brown/sarah009.cha, line 394 · Sarah 2;04
  4. oh ! MOT · eng_USA_Brown/sarah009.cha, line 492 · Sarah 2;04
  5. oh # no # they're not out playing in the yard # no . MOT · eng_USA_Brown/sarah009.cha, line 647 · Sarah 2;04
  6. oh # yeah # it's beautiful . MOT · eng_USA_Brown/sarah009.cha, line 761 · Sarah 2;04
  7. oh # Sarah . MOT · eng_USA_Brown/sarah009.cha, line 831 · Sarah 2;04
  8. oh # Sarah . MOT · eng_USA_Brown/sarah009.cha, line 837 · Sarah 2;04
  1. CHImike .
    CHIxxx my Michael .
    MOT*MOT: your # oh that's a mike # that's not a Michael # honey # it's a mike .
    MOTMichael's the dog # that's a mike .
    CHImike ?
  2. MOTthat's unusual .
    COUit won't be picked up on the mike probably .
    MOT*MOT: oh # it won't ?
    CHIa yyy Mommy ?
    CHIa yyy .
  3. MOTwho ?
    CHIyyy .
    MOT*MOT: oh # Santa_Claus # yeah .
    MOTSanta_Claus isn't here now # Santa_Claus has gone away .
    GLOdid you go see Santa_Claus ?
  4. CHIxxx .
    CHIyyy baby .
    MOT*MOT: oh !
    MOTSanta_Claus is going to bring her Chatty_Baby .
    CHICha(tt)y_Baby .
  5. CHIyyy .
    CHIyyy .
    MOT*MOT: oh # no # they're not out playing in the yard # no .
    MOTthey're going to school like all big girls do .
    CHIschool ?
  6. CHIp(rett)y .
    MOThmm ?
    MOT*MOT: oh # yeah # it's beautiful .
    GLOwhat a cute bib .
    MOTyeah .
  7. MOTyou drink your juice first and then you eat that # you got milk in there .
    MOTxxx .
    MOT*MOT: oh # Sarah .
    MOTwhy can't you have nice curls .
    MOThmm ?
  8. MOTwhy can't you have nice curls .
    MOThmm ?
    MOT*MOT: oh # Sarah .
    MOTwhy can't you have nice curls .
    MOThmm ?

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_Brown6.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah009.chaSarah 2;4.171,264886.33

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. oh8 · 100.0%