PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

10.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (201 utterances, 692 words searched).

  1. yeah # I know he's your doggie . MOT · eng_USA_Brown/sarah022.cha, line 626 · Sarah 2;07
  2. no # what does he say ? MOT · eng_USA_Brown/sarah022.cha, line 636 · Sarah 2;07
  3. yeah # he's too big now # yeah . MOT · eng_USA_Brown/sarah022.cha, line 771 · Sarah 2;07
  4. he's what ? MOT · eng_USA_Brown/sarah022.cha, line 802 · Sarah 2;07
  5. he's workin(g) # yeah . MOT · eng_USA_Brown/sarah022.cha, line 806 · Sarah 2;07
  6. he doesn't want to go over there . MOT · eng_USA_Brown/sarah022.cha, line 838 · Sarah 2;07
  7. I know he loves you # yeah . MOT · eng_USA_Brown/sarah022.cha, line 850 · Sarah 2;07
  1. CHIsit dere .
    CHIhe my doggie # know .
    MOT*MOT: yeah # I know he's your doggie .
    CHIhi # doggie .
    CHIhi # doggie .
  2. MOTSarah # what's the doggie say ?
    CHIMichael !
    MOT*MOT: no # what does he say ?
    CHIbow_wow@o .
    MOTand what does the kitty say ?
  3. MOTyou love Tup(py) .
    CHItoo big me .
    MOT*MOT: yeah # he's too big now # yeah .
    CHIxxx .
    CHIdoggie xxx no xxx ki(tt)y .
  4. CHIhe here .
    MOTwell # where is &ne now ?
    MOT*MOT: he's what ?
    CHIdowntown workin(g) [?] .
    MOThe's workin(g) # yeah .
  5. MOThe's what ?
    CHIdowntown workin(g) [?] .
    MOT*MOT: he's workin(g) # yeah .
    CHIxxx my doggie here .
    CHImy .
  6. CHIhere my doggie xxx .
    CHImy doggie xxx .
    MOT*MOT: he doesn't want to go over there .
    CHIhere yyy me # Mummy .
    MOThuh ?
  7. MOThuh ?
    CHIhere yyy me .
    MOT*MOT: I know he loves you # yeah .
    CHIhere # Michael .
    MOTwhee .

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_Brown10.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah022.chaSarah 2;7.186927710.12

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. he7 · 100.0%