PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 1,245 words searched).

  1. yeah . GLO · eng_USA_Brown/sarah027.cha, line 61 · Sarah 2;09
  2. yeah # he's got legs . MOT · eng_USA_Brown/sarah027.cha, line 398 · Sarah 2;09
  3. yeah . MOT · eng_USA_Brown/sarah027.cha, line 426 · Sarah 2;09
  4. yeah # they're new ones . MOT · eng_USA_Brown/sarah027.cha, line 535 · Sarah 2;09
  5. yeah # that's your powder puff # but what's this ? MOT · eng_USA_Brown/sarah027.cha, line 986 · Sarah 2;09
  6. yeah # your mirror . MOT · eng_USA_Brown/sarah027.cha, line 995 · Sarah 2;09
  7. yeah # you make it . MOT · eng_USA_Brown/sarah027.cha, line 1120 · Sarah 2;09
  8. yeah # but where ? MOT · eng_USA_Brown/sarah027.cha, line 1130 · Sarah 2;09
  1. GLOwhat did you do with it # Sarah ?
    CHIall gone .
    GLO*GLO: yeah .
    GLOwhat did you do ?
    CHIall gone .
  2. CHIfour [<] .
    CHIxxx legs .
    MOT*MOT: yeah # he's got legs .
    CHIyes !
    GLOdoes he have nails ?
  3. GLOtell me where they are .
    CHIa put (i)n [?] (h)e(re) [?] .
    MOT*MOT: yeah .
    MOTwhat number ?
    CHIsev(en) four .
  4. MOT<tell her> [//] oh # we got your new shoes yesterday but they were too small .
    CHItoo small .
    MOT*MOT: yeah # they're new ones .
    MOTyour ballet shoes .
    MOTwhyn't [: why don't] you say your piece for Gloria .
  5. MOTwhat's this ?
    CHImy pow(der)+puff .
    MOT*MOT: yeah # that's your powder puff # but what's this ?
    MOTyour what ?
    CHIyyy .
  6. MOTyour what ?
    CHIyyy .
    MOT*MOT: yeah # your mirror .
    MOTok # what are you doing now # honey ?
    MOTwhat do you do with your powder+puff ?
  7. MOTwhat ?
    CHII make it xxx .
    MOT*MOT: yeah # you make it .
    MOTbut <you tell> [/] <you tell> [//] tell Gloria what happened to your head .
    MOTwhere did it happen # where ?
  8. MOTwhere did it happen # where ?
    CHIright here .
    MOT*MOT: yeah # but where ?
    MOTout in the yard ?
    MOTon the what ?

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_Brown6.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245886.43

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. yeah8 · 100.0%