PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (680 utterances, 2,443 words searched).

  1. what're ya goin(g) to do ? FAT · eng_USA_Brown/sarah062.cha, line 90 · Sarah 3;05
  2. what're ya turnin(g) her head around for ? FAT · eng_USA_Brown/sarah062.cha, line 92 · Sarah 3;05
  3. what're ya goin(g) to do ? FAT · eng_USA_Brown/sarah062.cha, line 366 · Sarah 3;05
  4. what're ya goin(g) to write ? MOT · eng_USA_Brown/sarah062.cha, line 489 · Sarah 3;05
  5. what're they cute ? MOT · eng_USA_Brown/sarah062.cha, line 1100 · Sarah 3;05
  6. what're ya doin(g) here ? MOT · eng_USA_Brown/sarah062.cha, line 1379 · Sarah 3;05
  7. what're ya going to draw ? MOT · eng_USA_Brown/sarah062.cha, line 1963 · Sarah 3;05
  1. CHIuh .
    MOTxxx .
    FAT*FAT: what're ya goin(g) to do ?
    FATwhat're ya turnin(g) her head around for ?
    CHIsee what's in it .
  2. MOTxxx .
    FATwhat're ya goin(g) to do ?
    FAT*FAT: what're ya turnin(g) her head around for ?
    CHIsee what's in it .
    FATshe has moving parts .
  3. MOTthat's amazing .
    CHIhe chewin(g) his bone .
    FAT*FAT: what're ya goin(g) to do ?
    CHII'm make a +...
    FATmake a what ?
  4. MOTwhat do ya want your pencil for ?
    CHIcan [//] I wan(t) w(r)ite .
    MOT*MOT: what're ya goin(g) to write ?
    CHIyyy .
    MOT<where's your> [//] where's your # xxx thing ?
  5. MOTthree rabbits .
    CHIthree rabbits .
    MOT*MOT: what're they cute ?
    CHIyeah .
    MOTnow # if you can tell me what this is .
  6. CHIum # alright ?
    MOTyeah # I guess it's a xxx .
    MOT*MOT: what're ya doin(g) here ?
    MOTsill .
    CHInow # we can make a drawing .
  7. MOThe [//] he's got abscessed tooth on both sides .
    CHIwant me draw ?
    MOT*MOT: what're ya going to draw ?
    MOTthat's pretty good .
    MOTI thought this was going to be his feet when he started .

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_Brown2.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah062.chaSarah 3;5.132,443772.87

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. what're7 · 100.0%