PHPCLANCHILDES with regular expressions

17 matches in 16 utterances

9.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 1,731 words searched).

  1. you have one for your dollie's clothes ? GRA · eng_USA_Brown/sarah017.cha, line 322 · Sarah 2;06
  2. oh # cover your mouth . MOT · eng_USA_Brown/sarah017.cha, line 569 · Sarah 2;06
  3. yeah # where's your nose ? MOT · eng_USA_Brown/sarah017.cha, line 1365 · Sarah 2;06
  4. where's your eyes ? MOT · eng_USA_Brown/sarah017.cha, line 1372 · Sarah 2;06
  5. where's your neck ? MOT · eng_USA_Brown/sarah017.cha, line 1376 · Sarah 2;06
  6. where's your ears ? MOT · eng_USA_Brown/sarah017.cha, line 1380 · Sarah 2;06
  7. where's your knee ? MOT · eng_USA_Brown/sarah017.cha, line 1384 · Sarah 2;06
  8. where's your elbow ? MOT · eng_USA_Brown/sarah017.cha, line 1388 · Sarah 2;06
  9. where's your shoulder ? MOT · eng_USA_Brown/sarah017.cha, line 1397 · Sarah 2;06
  10. where's your hair ? MOT · eng_USA_Brown/sarah017.cha, line 1403 · Sarah 2;06
  11. where's your xxx ? MOT · eng_USA_Brown/sarah017.cha, line 1407 · Sarah 2;06
  12. yeah # that's your hand . MOT · eng_USA_Brown/sarah017.cha, line 1437 · Sarah 2;06
  13. count them # with your finger . GRA · eng_USA_Brown/sarah017.cha, line 2054 · Sarah 2;06
  14. get your crayon book . GRA · eng_USA_Brown/sarah017.cha, line 2142 · Sarah 2;06
  15. what did you do today in your room when you were in [//] supposed to be taking your nap ? MOT · eng_USA_Brown/sarah017.cha, line 2209 · Sarah 2;06
  16. …you do today in your room when you were in [//] supposed to be taking your nap ? MOT · eng_USA_Brown/sarah017.cha, line 2209 · Sarah 2;06
  17. what did you do with your crayons ? MOT · eng_USA_Brown/sarah017.cha, line 2215 · Sarah 2;06
  1. GRAum .
    CHImine ?
    GRA*GRA: you have one for your dollie's clothes ?
    CHIhave one for do(ll)y clothes ?
    CHI(h)ey dere ?
  2. GRAI didn't get that .
    CHI0 .
    MOT*MOT: oh # cover your mouth .
    GRA<oh # look at> [?] .
    CHIxxx [?] .
  3. GRAon the giant's nose .
    CHImy nose .
    MOT*MOT: yeah # where's your nose ?
    CHIhere .
    MOTright here ?
  4. CHIhere .
    MOTright here ?
    MOT*MOT: where's your eyes ?
    CHIright here .
    MOTwhere's your neck ?
  5. MOTwhere's your eyes ?
    CHIright here .
    MOT*MOT: where's your neck ?
    CHIhere .
    MOTwhere's your ears ?
  6. MOTwhere's your neck ?
    CHIhere .
    MOT*MOT: where's your ears ?
    CHIright here .
    MOTwhere's your knee ?
  7. MOTwhere's your ears ?
    CHIright here .
    MOT*MOT: where's your knee ?
    CHIeee here .
    MOTwhere's your elbow ?
  8. MOTwhere's your knee ?
    CHIeee here .
    MOT*MOT: where's your elbow ?
    CHIeee here .
    MOTno # right here .
  9. MOTno # right here .
    CHIright here .
    MOT*MOT: where's your shoulder ?
    CHIeee here .
    MOTthat's right .
  10. CHIeee here .
    MOTthat's right .
    MOT*MOT: where's your hair ?
    CHIhair # here .
    MOTwhere's your xxx ?
  11. MOTwhere's your hair ?
    CHIhair # here .
    MOT*MOT: where's your xxx ?
    CHIhere .
    MOTyeah .
  12. CHIde(re) .
    CHIa hand ?
    MOT*MOT: yeah # that's your hand .
    CHIhand ?
    CHIdere .
  13. GRAhow many here ?
    CHIxxx +/.
    GRA*GRA: count them # with your finger .
    GRAcount .
    CHIone # two # three # dere !
  14. GRAyou know how you do with crayons .
    CHIxxx +/.
    GRA*GRA: get your crayon book .
    GRAhave you got crayons and a crayon book ?
    CHI0 .
  15. MOTBobo@f # yeah .
    CHIxxx .
    MOT*MOT: what did you do today in your room when you were in [//] supposed to be taking your nap ?
    CHIxxx +/.
    MOTwhat did you do with your crayons ?
  16. MOTwhat did you do today in your room when you were in [//] supposed to be taking your nap ?
    CHIxxx +/.
    MOT*MOT: what did you do with your crayons ?
    MOTI broke it .
    MOTyeah # you broke them # and what else did you do ?

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_Brown9.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah017.chaSarah 2;6.131,73116179.82

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. your17 · 100.0%