PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

9.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,623 words searched).

  1. no # what's the shoe got over here ? MOT · eng_USA_Brown/sarah112.cha, line 283 · Sarah 4;06
  2. no # but it's not in enough . MOT · eng_USA_Brown/sarah112.cha, line 456 · Sarah 4;06
  3. no # what's the other two ? MOT · eng_USA_Brown/sarah112.cha, line 530 · Sarah 4;06
  4. no . MOT · eng_USA_Brown/sarah112.cha, line 597 · Sarah 4;06
  5. no # you have a cold . MOT · eng_USA_Brown/sarah112.cha, line 685 · Sarah 4;06
  6. no # you don't scribble on your book . MOT · eng_USA_Brown/sarah112.cha, line 702 · Sarah 4;06
  7. no . MOT · eng_USA_Brown/sarah112.cha, line 707 · Sarah 4;06
  8. then they're no good . MOT · eng_USA_Brown/sarah112.cha, line 732 · Sarah 4;06
  9. Sarah # I have no idea . MOT · eng_USA_Brown/sarah112.cha, line 990 · Sarah 4;06
  10. he died of <uh instant> [//] # uh no # quick pneumonia . MOT · eng_USA_Brown/sarah112.cha, line 1057 · Sarah 4;06
  11. no # I don't have any bologna . MOT · eng_USA_Brown/sarah112.cha, line 1182 · Sarah 4;06
  12. no # Daddy didn't get any cheese . MOT · eng_USA_Brown/sarah112.cha, line 1191 · Sarah 4;06
  13. no he didn't # and I forgot to tell him . MOT · eng_USA_Brown/sarah112.cha, line 1198 · Sarah 4;06
  14. no # not on those crackers . MOT · eng_USA_Brown/sarah112.cha, line 1233 · Sarah 4;06
  15. (a)n(d) I [/] # I'm no help . MOT · eng_USA_Brown/sarah112.cha, line 1309 · Sarah 4;06
  1. MOTwhat's the other name ?
    CHIthese ?
    MOT*MOT: no # what's the shoe got over here ?
    CHIto stand on ?
    CHIwell # you dance .
  2. MOTalright now push .
    CHIit's in .
    MOT*MOT: no # but it's not in enough .
    MOTnow push your foot .
    MOTpush your foot down .
  3. MOT(a)n(d) what else are ya gonna be ?
    CHITin(a) +...
    MOT*MOT: no # what's the other two ?
    CHIy(ou) mean +...
    MOTthe other two dances .
  4. MOTwhere'd he go to work ?
    CHIin the fireman .
    MOT*MOT: no .
    CHIwhere ?
    MOTA_and_P .
  5. MOTSarah ?
    CHII can't go out today .
    MOT*MOT: no # you have a cold .
    MOTc(o)me on there .
    MOTwhat are ya doin(g) ?
  6. MOTxxx your book .
    CHIMommy # I can scribble on my books .
    MOT*MOT: no # you don't scribble on your book .
    CHIcan I scribble on my books ?
    MOTno .
  7. MOTno # you don't scribble on your book .
    CHIcan I scribble on my books ?
    MOT*MOT: no .
    CHI0 .
    GAIwhat book is that ?
  8. CHIdis book ?
    MOTyou scribble on em (a)n(d) I'll throw em away .
    MOT*MOT: then they're no good .
    CHII scribbled on it .
    MOTyou're gettin(g) ornery today .
  9. CHIalright now .
    CHIwhere's my alphabets ?
    MOT*MOT: Sarah # I have no idea .
    MOTle(t) me look (a)n(d) see .
    MOTwatch it .
  10. MOThe was home (a)n(d) everything .
    MOTsupposed to go back to work next month .
    MOT*MOT: he died of <uh instant> [//] # uh no # quick pneumonia .
    GAImmhm .
    MOTa blood vessel broke ?
  11. MOTwhat are ya lookin(g) for # huh ?
    CHIyou have bologna ?
    MOT*MOT: no # I don't have any bologna .
    MOTwe do run out once in a while # y(ou) know .
    CHIxxx cheese ?
  12. CHIxxx cheese ?
    MOThuh ?
    MOT*MOT: no # Daddy didn't get any cheese .
    MOThe didn't bring the cheese home .
    CHIhe bring some cheese home .
  13. MOThe didn't bring the cheese home .
    CHIhe bring some cheese home .
    MOT*MOT: no he didn't # and I forgot to tell him .
    MOTwhen we call him up # we'll tell him # alright ?
    CHIMommy # here's some cheese .
  14. CHIthese are crackers .
    CHIthese are crackers .
    MOT*MOT: no # not on those crackers .
    CHII want it on those crackers .
    CHII like it on those crackers .
  15. GAIuhhuh .
    MOTshe was tryin(g) a make a windmill or somethin(g) .
    MOT*MOT: (a)n(d) I [/] # I'm no help .
    MOTI can't do anything either .
    MOTit's pretty disgusting # y(ou) know ?

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_Brown9.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah112.chaSarah 4;6.051,62315159.24

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. no15 · 100.0%