PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

25.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (78 utterances, 359 words searched).

  1. look at the shape . MOT · eng_USA_Bates/sue28.cha, line 63 · Sue 2;04
  2. you see the shape of it ? MOT · eng_USA_Bates/sue28.cha, line 68 · Sue 2;04
  3. can you find one of these that looks the same as that ? MOT · eng_USA_Bates/sue28.cha, line 74 · Sue 2;04
  4. that's # the easy way out . MOT · eng_USA_Bates/sue28.cha, line 101 · Sue 2;04
  5. find the right shape . MOT · eng_USA_Bates/sue28.cha, line 106 · Sue 2;04
  6. now look at the end . MOT · eng_USA_Bates/sue28.cha, line 108 · Sue 2;04
  7. can you put the rest in ? MOT · eng_USA_Bates/sue28.cha, line 129 · Sue 2;04
  8. should we play with the people and the house over there ? MOT · eng_USA_Bates/sue28.cha, line 218 · Sue 2;04
  9. should we play with the people and the house over there ? MOT · eng_USA_Bates/sue28.cha, line 218 · Sue 2;04
  1. CHIuh .
    MOTwhich one does it go in ?
    MOT*MOT: look at the shape .
    CHIwhere +...
    MOTyou see the shape of it ?
  2. MOTlook at the shape .
    CHIwhere +...
    MOT*MOT: you see the shape of it ?
    CHIoh .
    MOTcan you find one of these that looks the same as that ?
  3. MOTyou see the shape of it ?
    CHIoh .
    MOT*MOT: can you find one of these that looks the same as that ?
    CHI0 .
    MOTyou might have to turn it .
  4. MOTthis is too skinny to put that in .
    CHI0 .
    MOT*MOT: that's # the easy way out .
    CHIxxx .
    MOTfind the right shape .
  5. MOTthat's # the easy way out .
    CHIxxx .
    MOT*MOT: find the right shape .
    MOTnow look at the end .
    MOTsee ?
  6. CHIxxx .
    MOTfind the right shape .
    MOT*MOT: now look at the end .
    MOTsee ?
    MOThow it goes like that ?
  7. CHI0 .
    MOTok .
    MOT*MOT: can you put the rest in ?
    CHIhmm .
    CHIwhere that go ?
  8. MOTthere .
    CHIxxx .
    MOT*MOT: should we play with the people and the house over there ?
    CHIyeah .
    MOTwhy don't you bring it over here a little more ?

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. Sue eng_USA_Bates25.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/sue28.chaSue 2;4.3598925.07

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. the9 · 100.0%