PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (296 utterances, 1,144 words searched).

  1. well ya know we're going . MOT · eng_USA_Brown/sarah068.cha, line 115 · Sarah 3;07
  2. I'm really going to be ahead of myself . MOT · eng_USA_Brown/sarah068.cha, line 119 · Sarah 3;07
  3. did you tell Kent you're going to have a nice pretty room by next week week # huh ? MOT · eng_USA_Brown/sarah068.cha, line 174 · Sarah 3;07
  4. oh # Sarah's going to help . FAT · eng_USA_Brown/sarah068.cha, line 225 · Sarah 3;07
  5. xxx stop from going in stickerbirds . MOT · eng_USA_Brown/sarah068.cha, line 256 · Sarah 3;07
  6. what're you going to do today # Sarah ? FAT · eng_USA_Brown/sarah068.cha, line 481 · Sarah 3;07
  7. you're going to get a new bed . FAT · eng_USA_Brown/sarah068.cha, line 549 · Sarah 3;07
  1. MOTwait'll I cut it .
    MOTyou chewin(g) ?
    MOT*MOT: well ya know we're going .
    MOThere .
    MOTI'm really going to be ahead of myself .
  2. MOTwell ya know we're going .
    MOThere .
    MOT*MOT: I'm really going to be ahead of myself .
    FATwhat're ya drinkin(g) ?
    CHIthe # soda .
  3. MOTwhat's the matter ?
    CHInothin(g) .
    MOT*MOT: did you tell Kent you're going to have a nice pretty room by next week week # huh ?
    CHII'm goin(g) have a nice pretty room .
    FAT0 .
  4. MOToh .
    MOTI guess you are on vacation .
    FAT*FAT: oh # Sarah's going to help .
    MOTgot some of it .
    MOTChantilly !
  5. MOThope ya haven't got a toe in there .
    MOTstop .
    MOT*MOT: xxx stop from going in stickerbirds .
    CHIyeah # I goin(g) stickerbirds in my head .
    MOTshe's goin(g) to be bald by the summer comes with cuttin(g) out these stickerbirds .
  6. MOTnot a thing .
    CHIuh # I mean .
    FAT*FAT: what're you going to do today # Sarah ?
    CHII don't know .
    FATuhuh +...
  7. MOTyeah .
    MOTyou gonna tell Kent about it ?
    FAT*FAT: you're going to get a new bed .
    CHIum # yeah .
    FAThmm ?

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_Brown6.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah068.chaSarah 3;7.091,144776.12

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. going7 · 100.0%