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. earrings . MOT · eng_USA_Brown/sarah037.cha, line 35 · Sarah 2;11
  2. <what do you> [/] what do you want the earrings for ? MOT · eng_USA_Brown/sarah037.cha, line 40 · Sarah 2;11
  3. what do you want earrings for ? MOT · eng_USA_Brown/sarah037.cha, line 47 · Sarah 2;11
  4. hey # can the doll wear earrings ? COU · eng_USA_Brown/sarah037.cha, line 343 · Sarah 2;11
  5. like to play with earrings ? MOT · eng_USA_Brown/sarah037.cha, line 584 · Sarah 2;11
  6. xxx earrings . MOT · eng_USA_Brown/sarah037.cha, line 647 · Sarah 2;11
  7. whyn't [: why don't] you put your earrings on ? MOT · eng_USA_Brown/sarah037.cha, line 873 · Sarah 2;11
  8. how'd you like those earrings ? MOT · eng_USA_Brown/sarah037.cha, line 918 · Sarah 2;11
  1. MOTwhat is it ?
    CHIrings .
    MOT*MOT: earrings .
    CHIearrings .
    MOT<what do you> [/] what do you want the earrings for ?
  2. 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 .
  3. 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 ?
  4. MOThere's some curlers .
    MOTI don't know whether the other ones are .
    COU*COU: hey # can the doll wear earrings ?
    CHIno .
    CHIxxx my hand .
  5. MOTwhat's that ?
    CHIearrings .
    MOT*MOT: like to play with earrings ?
    CHIum .
    CHIxxx earrearrearree@b # earrings my mouth .
  6. CHIum # no .
    MOTno ?
    MOT*MOT: xxx earrings .
    CHIyyy .
    MOThmm ?
  7. MOTno # I'm not crying .
    CHIxxx .
    MOT*MOT: whyn't [: why don't] you put your earrings on ?
    CHIput my flower on me .
    MOTput the flower on you ?
  8. CHIdon't work .
    MOTsure it works .
    MOT*MOT: how'd you like those earrings ?
    CHIfine .
    CHIfine .

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.

  1. earrings8 · 100.0%