PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

10.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (244 utterances, 882 words searched).

  1. even though he's on the floor ? MOT · eng_USA_Brown/sarah024.cha, line 302 · Sarah 2;08
  2. he doesn't blow his nose . MOT · eng_USA_Brown/sarah024.cha, line 811 · Sarah 2;08
  3. he doesn't need a kleenex . MOT · eng_USA_Brown/sarah024.cha, line 819 · Sarah 2;08
  4. he said no yes ? MOT · eng_USA_Brown/sarah024.cha, line 834 · Sarah 2;08
  5. he doesn't stand up # he's broken . MOT · eng_USA_Brown/sarah024.cha, line 923 · Sarah 2;08
  6. he doesn't stand up # he's broken . MOT · eng_USA_Brown/sarah024.cha, line 923 · Sarah 2;08
  7. he bite your hand ? MOT · eng_USA_Brown/sarah024.cha, line 1035 · Sarah 2;08
  8. he did ? MOT · eng_USA_Brown/sarah024.cha, line 1039 · Sarah 2;08
  9. he'll bite you . MOT · eng_USA_Brown/sarah024.cha, line 1230 · Sarah 2;08
  1. MOTMichael have dirty hands ?
    CHIno .
    MOT*MOT: even though he's on the floor ?
    CHIyyy ni(ght)+ni(ght) xxx floor you .
    CHI<ni(ght)+ni(ght) xxx> [/] ni(ght)+ni(ght) xxx .
  2. CHIxxx .
    CHIblow [/] blow .
    MOT*MOT: he doesn't blow his nose .
    CHIyou got K(leen)ex ?
    CHIK(leen)ex ?
  3. CHIyou got K(leen)ex ?
    CHIK(leen)ex ?
    MOT*MOT: he doesn't need a kleenex .
    CHIwoe !
    CHIyou need a K(leen)ex ?
  4. CHIK(leen)ex ?
    CHIhe say no yes .
    MOT*MOT: he said no yes ?
    CHIno said no yes .
    CHIxxx my doll xxx you .
  5. CHIxxx .
    CHIyyy xxx .
    MOT*MOT: he doesn't stand up # he's broken .
    CHIhuh ?
    CHIxxx .
  6. CHIwowwowwowwow@b .
    CHIowwow@b bit my hand .
    MOT*MOT: he bite your hand ?
    CHIyes .
    MOThe did ?
  7. MOThe bite your hand ?
    CHIyes .
    MOT*MOT: he did ?
    MOTwhere ?
    CHIxxx bite my hand xxx .
  8. CHIhorsie Michael .
    MOToh # no .
    MOT*MOT: he'll bite you .
    CHIhuh ?
    MOTwant him to bite you ?

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_Brown10.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah024.chaSarah 2;8.028828910.20

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. he9 · 100.0%