PHPCLANCHILDES with regular expressions

17 matches in 17 utterances

5.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (688 utterances, 2,859 words searched).

  1. what's an elbow ? MOT · eng_USA_Brown/adam02.cha, line 763 · Adam 2;03
  2. yes # what's the man's name driving the busy bulldozer ? MOT · eng_USA_Brown/adam02.cha, line 1113 · Adam 2;03
  3. what's the man's name ? MOT · eng_USA_Brown/adam02.cha, line 1123 · Adam 2;03
  4. what's his name ? MOT · eng_USA_Brown/adam02.cha, line 1147 · Adam 2;03
  5. you tell me what's happening . MOT · eng_USA_Brown/adam02.cha, line 1175 · Adam 2;03
  6. what's your doggie's name ? MOT · eng_USA_Brown/adam02.cha, line 1345 · Adam 2;03
  7. what's her little boy's name ? MOT · eng_USA_Brown/adam02.cha, line 2115 · Adam 2;03
  8. what's her little boy's name ? MOT · eng_USA_Brown/adam02.cha, line 2122 · Adam 2;03
  9. what's this ? MOT · eng_USA_Brown/adam02.cha, line 2577 · Adam 2;03
  10. what's he doing ? MOT · eng_USA_Brown/adam02.cha, line 2829 · Adam 2;03
  11. what's his name ? MOT · eng_USA_Brown/adam02.cha, line 2833 · Adam 2;03
  12. what's so funny ? MOT · eng_USA_Brown/adam02.cha, line 3372 · Adam 2;03
  13. can you read what's on there # Adam ? MOT · eng_USA_Brown/adam02.cha, line 3422 · Adam 2;03
  14. what's this ? MOT · eng_USA_Brown/adam02.cha, line 3723 · Adam 2;03
  15. what's the matter ? MOT · eng_USA_Brown/adam02.cha, line 3826 · Adam 2;03
  16. what's Bambi doing ? MOT · eng_USA_Brown/adam02.cha, line 3981 · Adam 2;03
  17. what's in his mouth ? MOT · eng_USA_Brown/adam02.cha, line 4279 · Adam 2;03
  1. MOTdo you have elbow ?
    CHIno ?
    MOT*MOT: what's an elbow ?
    CHIright [?] &a arm .
    MOToh # it's right on your arm .
  2. MOTdo you know the man's name ?
    CHIman drive busy bulldozer .
    MOT*MOT: yes # what's the man's name driving the busy bulldozer ?
    CHIdrive up dere .
    CHIput dirt up .
  3. CHIput dirt up .
    MOTyes # he's pushing the dirt up .
    MOT*MOT: what's the man's name ?
    CHIput shovel up .
    CHIwho dat ?
  4. MOTwhat is his name ?
    CHIdrive busy busy busy bulldozer .
    MOT*MOT: what's his name ?
    CHIdrive [/] drive busy busy busy bulldozer .
    CHIwho dat ?
  5. CHIread dat .
    CHIread dat .
    MOT*MOT: you tell me what's happening .
    CHItow truck train train track .
    CHIread dat .
  6. MOTis that your doggie ?
    CHImy .
    MOT*MOT: what's your doggie's name ?
    CHIdoggie .
    CHIfind doggie .
  7. CHIMommy ?
    CHIMommy Daddy Mommy Daddy .
    MOT*MOT: what's her little boy's name ?
    CHIAdam .
    MOTthat's your name .
  8. CHIAdam .
    MOTthat's your name .
    MOT*MOT: what's her little boy's name ?
    URSthe one who had the bunny rabbit .
    CHIbunny+rabbit go ?
  9. CHIbite doggie ?
    MOTno # the doggie didn't bite him .
    MOT*MOT: what's this ?
    CHIfell down .
    MOTwhat is she putting the bandaid on ?
  10. CHIyyy .
    MOTthey do look like stars .
    MOT*MOT: what's he doing ?
    CHIwho dat ?
    MOTwhat's his name ?
  11. MOTwhat's he doing ?
    CHIwho dat ?
    MOT*MOT: what's his name ?
    CHIcoat .
    MOTwhat is that ?
  12. RICis that a racket .
    CHIdoggie .
    MOT*MOT: what's so funny ?
    MOTdid you think that was funny ?
    CHIyou # doggie .
  13. CHIMommy .
    MOTno # this Mommy's .
    MOT*MOT: can you read what's on there # Adam ?
    MOTdo you want a piece ?
    CHIyeah # sure .
  14. CHIget a [?] hand out .
    MOT+" get the hand out ?
    MOT*MOT: what's this ?
    CHIDo(n)z_Duck .
    MOTthat's not Donald Duck .
  15. CHIright dere .
    CHITuffy .
    MOT*MOT: what's the matter ?
    MOTis that hot .
    MOTwho dat ?
  16. MOT+" Bambi's green .
    CHIBambi green a [?] .
    MOT*MOT: what's Bambi doing ?
    CHIfunny .
    CHIha(ha) .
  17. CHIBambi .
    CHImouth .
    MOT*MOT: what's in his mouth ?
    CHI+" tongue .
    MOTtongue .

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_Brown5.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam02.chaAdam 2;3.182,85917175.95

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. what's17 · 100.0%