PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (354 utterances, 1,562 words searched).

  1. Gail # like if somebody asks a question and there's a nod or something like that # put that down too . MEL · eng_USA_Brown/sarah095.cha, line 366 · Sarah 4;02
  2. no powder in there ? FAT · eng_USA_Brown/sarah095.cha, line 804 · Sarah 4;02
  3. what have you got in there ? FAT · eng_USA_Brown/sarah095.cha, line 982 · Sarah 4;02
  4. oh yeah # leave it in there # that's nice . MOT · eng_USA_Brown/sarah095.cha, line 1001 · Sarah 4;02
  5. was there a fire ? MEL · eng_USA_Brown/sarah095.cha, line 1120 · Sarah 4;02
  6. there was a big accident out here the other night . MOT · eng_USA_Brown/sarah095.cha, line 1385 · Sarah 4;02
  1. CHII am .
    FATpush it back .
    MEL*MEL: Gail # like if somebody asks a question and there's a nod or something like that # put that down too .
    CHII swing my arm out .
    MEL(be)cause it shows that she understands .
  2. CHIwho empty it ?
    CHIwho empty it xxx powder ?
    FAT*FAT: no powder in there ?
    CHIno .
    CHIwho took these ?
  3. CHItwo cottons .
    CHIMommy # open it this way ?
    FAT*FAT: what have you got in there ?
    FATtwo cottons .
    MOTit's not cotton # is it ?
  4. CHIlook .
    CHIlook # Mommy .
    MOT*MOT: oh yeah # leave it in there # that's nice .
    MOTif you lose your other one # it's nice to have this .
    CHIreal xxx .
  5. CHIno .
    MOTyou just missed it # didn't you ?
    MEL*MEL: was there a fire ?
    FATyeah # we were in the barber's .
    FATan automobile accident .
  6. MELshe doesn't forget # does she ?
    MOTyeah # she doesn't forget .
    MOT*MOT: there was a big accident out here the other night .
    MOTlast Saturday night .
    MOTI wasn't home .

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_Brown3.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah095.chaSarah 4;2.091,562663.84

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. there6 · 100.0%