PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (372 utterances, 1,452 words searched).

  1. <where's the bunny> [//] well # we'll go see the Bunny # all right ? MOT · eng_USA_Brown/sarah021.cha, line 77 · Sarah 2;07
  2. where's the juice ? FAT · eng_USA_Brown/sarah021.cha, line 227 · Sarah 2;07
  3. where's Huckleberry ? FAT · eng_USA_Brown/sarah021.cha, line 615 · Sarah 2;07
  4. where's the balloon ? FAT · eng_USA_Brown/sarah021.cha, line 835 · Sarah 2;07
  5. where's her dress ? FAT · eng_USA_Brown/sarah021.cha, line 1050 · Sarah 2;07
  6. where's your other boo+boo <on your> [//] on you other hand ? MOT · eng_USA_Brown/sarah021.cha, line 1550 · Sarah 2;07
  7. where's his xxx eyes ? FAT · eng_USA_Brown/sarah021.cha, line 1597 · Sarah 2;07
  1. MOThuh ?
    CHIbe bunny ?
    MOT*MOT: <where's the bunny> [//] well # we'll go see the Bunny # all right ?
    CHIalright .
    MOTthat's if you hold your head real stiff now for one minute .
  2. CHIjuice .
    CHIno juice (i)n (th)ere .
    FAT*FAT: where's the juice ?
    CHIhere .
    FATclose the door .
  3. FATHuckleberry .
    CHIxxx .
    FAT*FAT: where's Huckleberry ?
    FATHuckleberry's the dog .
    FATYogi_Bear's the bear .
  4. CHII got balloon a my house .
    FATyou got a balloon at the house ?
    FAT*FAT: where's the balloon ?
    FATin your room ?
    MOTat Nana's .
  5. FATwhat did you write on her for ?
    CHIone two three four .
    FAT*FAT: where's her dress ?
    CHIno know .
    FATyou want her to catch cold ?
  6. FATyou want a boo+boo # don't you ?
    FATwhy ?
    MOT*MOT: where's your other boo+boo <on your> [//] on you other hand ?
    FAToh # what happened ?
    CHIxxx .
  7. FATit's a funny lookin(g) dog .
    CHIyeah .
    FAT*FAT: where's his xxx eyes ?
    CHIno eye .
    FATdid you take his eyes out ?

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_Brown4.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah021.chaSarah 2;7.121,452774.82

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. where's7 · 100.0%