PHPCLANCHILDES with regular expressions

17 matches in 17 utterances

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

  1. you build one . MOT · eng_USA_Bates/kathy28.cha, line 101 · Kathy 2;04
  2. put this one . MOT · eng_USA_Bates/kathy28.cha, line 106 · Kathy 2;04
  3. pick the orange one up . MOT · eng_USA_Bates/kathy28.cha, line 126 · Kathy 2;04
  4. that the right one ? MOT · eng_USA_Bates/kathy28.cha, line 129 · Kathy 2;04
  5. no # this one ! MOT · eng_USA_Bates/kathy28.cha, line 158 · Kathy 2;04
  6. no put that one in . MOT · eng_USA_Bates/kathy28.cha, line 200 · Kathy 2;04
  7. that one in there . MOT · eng_USA_Bates/kathy28.cha, line 203 · Kathy 2;04
  8. then that one . MOT · eng_USA_Bates/kathy28.cha, line 206 · Kathy 2;04
  9. that one . MOT · eng_USA_Bates/kathy28.cha, line 210 · Kathy 2;04
  10. then that one . MOT · eng_USA_Bates/kathy28.cha, line 215 · Kathy 2;04
  11. and that one . MOT · eng_USA_Bates/kathy28.cha, line 222 · Kathy 2;04
  12. that one . MOT · eng_USA_Bates/kathy28.cha, line 225 · Kathy 2;04
  13. and that one ? MOT · eng_USA_Bates/kathy28.cha, line 239 · Kathy 2;04
  14. that one goes in there . MOT · eng_USA_Bates/kathy28.cha, line 248 · Kathy 2;04
  15. no # this one goes next . MOT · eng_USA_Bates/kathy28.cha, line 253 · Kathy 2;04
  16. now that one . MOT · eng_USA_Bates/kathy28.cha, line 260 · Kathy 2;04
  17. and that one . MOT · eng_USA_Bates/kathy28.cha, line 266 · Kathy 2;04
  1. CHIwhoa !
    MOTcan you build a tower now ?
    MOT*MOT: you build one .
    MOTno # you have to put the right shapes on .
    MOTput this one .
  2. MOTyou build one .
    MOTno # you have to put the right shapes on .
    MOT*MOT: put this one .
    CHI(o)k .
    MOTok .
  3. MOTwait !
    MOTpick it up .
    MOT*MOT: pick the orange one up .
    MOTthat the right one ?
    CHIyeah .
  4. MOTpick it up .
    MOTpick the orange one up .
    MOT*MOT: that the right one ?
    CHIyeah .
    MOT(o)k .
  5. MOTuhhuh .
    MOTok # go ahead .
    MOT*MOT: no # this one !
    CHIno .
    MOTwant to do it your way ?
  6. CHIuh yyy .
    MOTno # the bottom xxx .
    MOT*MOT: no put that one in .
    MOTthat one in there .
    MOTthen that one .
  7. MOTno # the bottom xxx .
    MOTno put that one in .
    MOT*MOT: that one in there .
    MOTthen that one .
    CHI0 .
  8. MOTno put that one in .
    MOTthat one in there .
    MOT*MOT: then that one .
    CHI0 .
    MOTthat one .
  9. MOTthen that one .
    CHI0 .
    MOT*MOT: that one .
    CHI0 .
    MOTthen that one .
  10. MOTthat one .
    CHI0 .
    MOT*MOT: then that one .
    CHI(o)k .
    MOTand that one .
  11. MOTthen that one .
    CHI(o)k .
    MOT*MOT: and that one .
    MOTthat one .
    CHIoh !
  12. CHI(o)k .
    MOTand that one .
    MOT*MOT: that one .
    CHIoh !
    CHIthat one .
  13. CHIthat one .
    CHIxxx .
    MOT*MOT: and that one ?
    CHI0 .
    MOTnot yet .
  14. CHI0 .
    MOTnot yet .
    MOT*MOT: that one goes in there .
    CHI0 .
    MOTno # this one goes next .
  15. MOTthat one goes in there .
    CHI0 .
    MOT*MOT: no # this one goes next .
    CHIxxx .
    MOTnow that one .
  16. MOTno # this one goes next .
    CHIxxx .
    MOT*MOT: now that one .
    CHIthat one .
    MOTand that one .
  17. MOTnow that one .
    CHIthat one .
    MOT*MOT: and that one .
    CHIyyy done !
    MOTdone [?] !

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_Bates41.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/kathy28.chaKathy 2;4.414171741.06

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. one17 · 100.0%