PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

6.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (524 utterances, 2,181 words searched).

  1. lots of boots ? MOT · eng_USA_Brown/adam10.cha, line 148 · Adam 2;07
  2. on your side of the paper . MOT · eng_USA_Brown/adam10.cha, line 369 · Adam 2;07
  3. and what did you do with my piece of paper ? MOT · eng_USA_Brown/adam10.cha, line 518 · Adam 2;07
  4. like a piece of meat ? MOT · eng_USA_Brown/adam10.cha, line 1321 · Adam 2;07
  5. what kind of meat is it ? MOT · eng_USA_Brown/adam10.cha, line 1351 · Adam 2;07
  6. you got lots of bites # didn't you ? MOT · eng_USA_Brown/adam10.cha, line 1469 · Adam 2;07
  7. is that part of the broom ? MOT · eng_USA_Brown/adam10.cha, line 1889 · Adam 2;07
  8. maybe she's afraid of doggies . MOT · eng_USA_Brown/adam10.cha, line 2668 · Adam 2;07
  9. what kind of corn ? MOT · eng_USA_Brown/adam10.cha, line 2803 · Adam 2;07
  10. what kind of corn is it ? MOT · eng_USA_Brown/adam10.cha, line 2808 · Adam 2;07
  11. take the pencil out of your mouth . MOT · eng_USA_Brown/adam10.cha, line 2813 · Adam 2;07
  12. take the pencil out of your mouth . MOT · eng_USA_Brown/adam10.cha, line 2821 · Adam 2;07
  13. take the pencil out of your mouth . MOT · eng_USA_Brown/adam10.cha, line 2832 · Adam 2;07
  14. what kind of smoke is that ? MOT · eng_USA_Brown/adam10.cha, line 2842 · Adam 2;07
  15. well # what kind of smoke is that ? MOT · eng_USA_Brown/adam10.cha, line 2848 · Adam 2;07
  1. CHIcowboy .
    CHIcowboy xxx lots of boot .
    MOT*MOT: lots of boots ?
    CHIyeah .
    MOToh # no # what will he write with ?
  2. CHIa@l b@l .
    CHIa@l b@l c@l .
    MOT*MOT: on your side of the paper .
    RICshall we use a new piece ?
    CHIyeah .
  3. CHIball .
    MOTyou're picking the ball .
    MOT*MOT: and what did you do with my piece of paper ?
    CHImoon # Mommy .
    CHIwrite dat's a moon # for you .
  4. CHIbake it self .
    CHIlike a piece meat .
    MOT*MOT: like a piece of meat ?
    MOTno thank you .
    CHIlike a piece of meat .
  5. CHIyep .
    CHImeat .
    MOT*MOT: what kind of meat is it ?
    CHIbig meat .
    MOTbig meat .
  6. MOTthe fish bit you and the cowboy bit you and a big doggie bit you .
    CHIyeah .
    MOT*MOT: you got lots of bites # didn't you ?
    CHIyeah # lots bite # yeah .
    CHIok ?
  7. CHIdat a not screw ?
    MOTno # that isn't a screw .
    MOT*MOT: is that part of the broom ?
    CHIno no no .
    CHIno # Urs(u)la .
  8. CHIplease # Urs(u)la .
    CHIok # doggie # next to you .
    MOT*MOT: maybe she's afraid of doggies .
    CHI(a)fraid a [?] doggies .
    CHIwoof@o woof@o !
  9. CHIcorn .
    MOToh # that's corn ?
    MOT*MOT: what kind of corn ?
    CHIcorn ?
    MOTwhat kind of corn is it ?
  10. MOTwhat kind of corn ?
    CHIcorn ?
    MOT*MOT: what kind of corn is it ?
    CHIcorn ?
    MOTtake the pencil out of your mouth .
  11. MOTwhat kind of corn is it ?
    CHIcorn ?
    MOT*MOT: take the pencil out of your mouth .
    CHIcorn .
    MOTcorn on the cob ?
  12. MOTcorn on the cob ?
    CHIand cob # and mouth .
    MOT*MOT: take the pencil out of your mouth .
    MOTyou've finished your corn # haven't you ?
    MOTall gone .
  13. CHIhey # Mommy .
    MOTno .
    MOT*MOT: take the pencil out of your mouth .
    MOTwhat is that ?
    CHIsmoke .
  14. CHIsmoke .
    MOTsmoke .
    MOT*MOT: what kind of smoke is that ?
    CHII sitting table .
    MOTyou're sitting at the table ?
  15. CHII sitting table .
    MOTyou're sitting at the table ?
    MOT*MOT: well # what kind of smoke is that ?
    CHIcigarette smoke .
    MOToh cigarette smoke .

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. Adam eng_USA_Brown6.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam10.chaAdam 2;7.142,18115156.88

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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