PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

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

  1. Mister Ears ? MOT · eng_USA_Brown/sarah021.cha, line 313 · Sarah 2;07
  2. poor Mister Ears . MOT · eng_USA_Brown/sarah021.cha, line 346 · Sarah 2;07
  3. you gonna take Mister Ears for a ride ? MOT · eng_USA_Brown/sarah021.cha, line 350 · Sarah 2;07
  4. did Mister Ears bleed ? FAT · eng_USA_Brown/sarah021.cha, line 378 · Sarah 2;07
  5. and the mouse's ears's red . FAT · eng_USA_Brown/sarah021.cha, line 827 · Sarah 2;07
  6. see the big ears ? FAT · eng_USA_Brown/sarah021.cha, line 980 · Sarah 2;07
  7. and the mouse has # round ears . FAT · eng_USA_Brown/sarah021.cha, line 984 · Sarah 2;07
  8. how many ears ? FAT · eng_USA_Brown/sarah021.cha, line 1466 · Sarah 2;07
  9. long ears # huh . FAT · eng_USA_Brown/sarah021.cha, line 1650 · Sarah 2;07
  1. MOTwho ?
    CHImonkey ears .
    MOT*MOT: Mister Ears ?
    CHIhe got boo+boo hand .
    MOTyeah # he's got xxx .
  2. MOTlook .
    CHIa boo+boo .
    MOT*MOT: poor Mister Ears .
    CHIxxx .
    MOTyou gonna take Mister Ears for a ride ?
  3. MOTpoor Mister Ears .
    CHIxxx .
    MOT*MOT: you gonna take Mister Ears for a ride ?
    CHIxxx boo+boo .
    CHImy hand .
  4. MOTyes # you did .
    CHIyes .
    FAT*FAT: did Mister Ears bleed ?
    CHI0 .
    FAThe didn't bleed .
  5. CHIaqua .
    FATyeah .
    FAT*FAT: and the mouse's ears's red .
    CHIred .
    CHII got balloon a my house .
  6. MOTwww .
    FATthat's a bunny .
    FAT*FAT: see the big ears ?
    CHIxxx .
    FATand the mouse has # round ears .
  7. FATsee the big ears ?
    CHIxxx .
    FAT*FAT: and the mouse has # round ears .
    CHIo:h !
    CHIa bite me .
  8. FATone mouth .
    CHIone mouth .
    FAT*FAT: how many ears ?
    CHIxxx two ears .
    FAThow many fingers have I got ?
  9. FATlook at the hair .
    CHIxxx ears .
    FAT*FAT: long ears # huh .
    CHIlong ears .
    FATshort tail .

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_Brown6.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah021.chaSarah 2;7.121,452996.20

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. ears9 · 100.0%