PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (265 utterances, 956 words searched).

  1. it's a cup for the monster . FAT · eng_USA_Brown/sarah089.cha, line 433 · Sarah 4;00
  2. Sarah # why don't you make a pet for the monster ? MOT · eng_USA_Brown/sarah089.cha, line 509 · Sarah 4;00
  3. make that frog for the monster's pet . MOT · eng_USA_Brown/sarah089.cha, line 524 · Sarah 4;00
  4. where do you keep them if you have them for pets ? FAT · eng_USA_Brown/sarah089.cha, line 547 · Sarah 4;00
  5. <it's for> [//] # it's a Blanche ? MOT · eng_USA_Brown/sarah089.cha, line 614 · Sarah 4;00
  6. it's for Blanche ? MOT · eng_USA_Brown/sarah089.cha, line 618 · Sarah 4;00
  7. Uncle_Buster gets blamed for everything . FAT · eng_USA_Brown/sarah089.cha, line 1290 · Sarah 4;00
  1. CHIa cup for you .
    CHIyou lazy .
    FAT*FAT: it's a cup for the monster .
    CHIyou have a bite .
    MELhmm ?
  2. CHII break it .
    CHII break it .
    MOT*MOT: Sarah # why don't you make a pet for the monster ?
    CHIno .
    MOTno ?
  3. CHI<a little> [/] a little xxx .
    CHIgoin(g) make out of this .
    MOT*MOT: make that frog for the monster's pet .
    CHIwhat's your favorite pet ?
    FATpet ?
  4. MOTeverything is monsters now .
    CHIand a xxx .
    FAT*FAT: where do you keep them if you have them for pets ?
    CHIbridge .
    CHIMommy # can you make # doggie of this ?
  5. CHIyeah .
    CHIit's a Blanche .
    MOT*MOT: <it's for> [//] # it's a Blanche ?
    CHIBlanche .
    MOTit's for Blanche ?
  6. MOT<it's for> [//] # it's a Blanche ?
    CHIBlanche .
    MOT*MOT: it's for Blanche ?
    CHIyeah .
    CHII don't +...
  7. MOTwho taught you that song ?
    CHIUncle_Buster .
    FAT*FAT: Uncle_Buster gets blamed for everything .
    MOTthe two of them .
    MOTI'm tellin(g) ya .

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_Brown7.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah089.chaSarah 4;0.28956777.32

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. for7 · 100.0%