PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (504 utterances, 1,851 words searched).

  1. <what do you> [/] what do you want the earrings for ? MOT · eng_USA_Brown/sarah037.cha, line 40 · Sarah 2;11
  2. what do you want earrings for ? MOT · eng_USA_Brown/sarah037.cha, line 47 · Sarah 2;11
  3. all ready for bed ? MOT · eng_USA_Brown/sarah037.cha, line 630 · Sarah 2;11
  4. see # that's only like for you and Ann_Marie . MOT · eng_USA_Brown/sarah037.cha, line 1340 · Sarah 2;11
  5. what else you gonna have for supper ? FAT · eng_USA_Brown/sarah037.cha, line 1553 · Sarah 2;11
  6. what for ? FAT · eng_USA_Brown/sarah037.cha, line 1658 · Sarah 2;11
  7. tell Courtney what you're gonna do for your birthday . FAT · eng_USA_Brown/sarah037.cha, line 1721 · Sarah 2;11
  8. I tied it for you . FAT · eng_USA_Brown/sarah037.cha, line 1978 · Sarah 2;11
  1. MOTearrings .
    CHIearrings .
    MOT*MOT: <what do you> [/] what do you want the earrings for ?
    CHIin my ears .
    MOTI know you want them in your ears .
  2. CHIin my ears .
    MOTI know you want them in your ears .
    MOT*MOT: what do you want earrings for ?
    CHIxxx .
    MOTwant me to put them on ?
  3. MOT(be)cause !
    MOTthere # how's she look ?
    MOT*MOT: all ready for bed ?
    MOTwith her hair all up in curlers ?
    MOThmm ?
  4. MOTsee ?
    MOTmaybe Daddy can .
    MOT*MOT: see # that's only like for you and Ann_Marie .
    MOTyou and Ann_Marie can sit on it .
    CHIum .
  5. CHIyyy .
    CHIxxx .
    FAT*FAT: what else you gonna have for supper ?
    CHIum # xxx .
    CHIxxx .
  6. CHII xxx square .
    FATyou going to the square ?
    FAT*FAT: what for ?
    CHIgo get right dere .
    CHIwhoop !
  7. CHIwawawa@b .
    CHIfor your birthday ?
    FAT*FAT: tell Courtney what you're gonna do for your birthday .
    CHIum # record !
    FATtell her .
  8. FATwhy ?
    MOTshe just doesn't like you inventions .
    FAT*FAT: I tied it for you .
    CHInot my leg .
    FAThuh ?

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_Brown4.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah037.chaSarah 2;11.171,851884.32

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.

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