PHPCLANCHILDES with regular expressions

20 matches in 20 utterances

48.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (121 utterances, 414 words searched).

  1. see # can you build like that ? MOT · eng_USA_Bates/kathy28.cha, line 44 · Kathy 2;04
  2. like that +... MOT · eng_USA_Bates/kathy28.cha, line 51 · Kathy 2;04
  3. oop(s) # that fell down . MOT · eng_USA_Bates/kathy28.cha, line 117 · Kathy 2;04
  4. that the right one ? MOT · eng_USA_Bates/kathy28.cha, line 129 · Kathy 2;04
  5. no put that one in . MOT · eng_USA_Bates/kathy28.cha, line 200 · Kathy 2;04
  6. that one in there . MOT · eng_USA_Bates/kathy28.cha, line 203 · Kathy 2;04
  7. then that one . MOT · eng_USA_Bates/kathy28.cha, line 206 · Kathy 2;04
  8. that one . MOT · eng_USA_Bates/kathy28.cha, line 210 · Kathy 2;04
  9. then that one . MOT · eng_USA_Bates/kathy28.cha, line 215 · Kathy 2;04
  10. and that one . MOT · eng_USA_Bates/kathy28.cha, line 222 · Kathy 2;04
  11. that one . MOT · eng_USA_Bates/kathy28.cha, line 225 · Kathy 2;04
  12. and that one ? MOT · eng_USA_Bates/kathy28.cha, line 239 · Kathy 2;04
  13. that one goes in there . MOT · eng_USA_Bates/kathy28.cha, line 248 · Kathy 2;04
  14. now that one . MOT · eng_USA_Bates/kathy28.cha, line 260 · Kathy 2;04
  15. and that one . MOT · eng_USA_Bates/kathy28.cha, line 266 · Kathy 2;04
  16. can you turn back that way ? MOT · eng_USA_Bates/kathy28.cha, line 371 · Kathy 2;04
  17. look at that . MOT · eng_USA_Bates/kathy28.cha, line 413 · Kathy 2;04
  18. what's that ? MOT · eng_USA_Bates/kathy28.cha, line 434 · Kathy 2;04
  19. is that what you're cooking ? MOT · eng_USA_Bates/kathy28.cha, line 498 · Kathy 2;04
  20. is that what you're cooking ? MOT · eng_USA_Bates/kathy28.cha, line 503 · Kathy 2;04
  1. CHIyyy .
    MOTall right .
    MOT*MOT: see # can you build like that ?
    MOTwatch .
    MOTlike that +...
  2. MOTsee # can you build like that ?
    MOTwatch .
    MOT*MOT: like that +...
    CHI0 .
    MOTlook it !
  3. CHI(o)k .
    MOTok .
    MOT*MOT: oop(s) # that fell down .
    MOTwait !
    MOTpick it up .
  4. MOTpick it up .
    MOTpick the orange one up .
    MOT*MOT: that the right one ?
    CHIyeah .
    MOT(o)k .
  5. CHIuh yyy .
    MOTno # the bottom xxx .
    MOT*MOT: no put that one in .
    MOTthat one in there .
    MOTthen that one .
  6. MOTno # the bottom xxx .
    MOTno put that one in .
    MOT*MOT: that one in there .
    MOTthen that one .
    CHI0 .
  7. MOTno put that one in .
    MOTthat one in there .
    MOT*MOT: then that one .
    CHI0 .
    MOTthat one .
  8. MOTthen that one .
    CHI0 .
    MOT*MOT: that one .
    CHI0 .
    MOTthen that one .
  9. MOTthat one .
    CHI0 .
    MOT*MOT: then that one .
    CHI(o)k .
    MOTand that one .
  10. MOTthen that one .
    CHI(o)k .
    MOT*MOT: and that one .
    MOTthat one .
    CHIoh !
  11. CHI(o)k .
    MOTand that one .
    MOT*MOT: that one .
    CHIoh !
    CHIthat one .
  12. CHIthat one .
    CHIxxx .
    MOT*MOT: and that one ?
    CHI0 .
    MOTnot yet .
  13. CHI0 .
    MOTnot yet .
    MOT*MOT: that one goes in there .
    CHI0 .
    MOTno # this one goes next .
  14. MOTno # this one goes next .
    CHIxxx .
    MOT*MOT: now that one .
    CHIthat one .
    MOTand that one .
  15. MOTnow that one .
    CHIthat one .
    MOT*MOT: and that one .
    CHIyyy done !
    MOTdone [?] !
  16. CHIxxx .
    MOTa lawn chair .
    MOT*MOT: can you turn back that way ?
    CHI(o)k .
    MOTok ?
  17. MOTsee ?
    MOTthey can sit at the table and eat .
    MOT*MOT: look at that .
    MOTsit at the table and eat .
    CHI0 [=! sighs] .
  18. MOTand here's some chairs for their living room ?
    CHIuh !
    MOT*MOT: what's that ?
    CHIdoggie !
    CHIyyy .
  19. MOT<is the turk(ey)> [//] is the chicken for barbecue ?
    MOTis the duckie for barbecue ?
    MOT*MOT: is that what you're cooking ?
    CHIhuh ?
    MOTis that what you're cooking ?
  20. MOTis that what you're cooking ?
    CHIhuh ?
    MOT*MOT: is that what you're cooking ?
    CHIye(ah) .
    CHIyyy .

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. Kathy eng_USA_Bates48.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/kathy28.chaKathy 2;4.414202048.31

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. that20 · 100.0%