PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

18.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (88 utterances, 427 words searched).

  1. move some of that ? MOT · eng_USA_Bates/nan28.cha, line 24 · Nan 2;04
  2. here some more . MOT · eng_USA_Bates/nan28.cha, line 41 · Nan 2;04
  3. there some more . MOT · eng_USA_Bates/nan28.cha, line 52 · Nan 2;04
  4. should we put some little people in them ? MOT · eng_USA_Bates/nan28.cha, line 93 · Nan 2;04
  5. here's some more . MOT · eng_USA_Bates/nan28.cha, line 103 · Nan 2;04
  6. where are some more people ? MOT · eng_USA_Bates/nan28.cha, line 150 · Nan 2;04
  7. we can put some of them in the car . MOT · eng_USA_Bates/nan28.cha, line 429 · Nan 2;04
  8. here we can take some more people out of the xxx . MOT · eng_USA_Bates/nan28.cha, line 530 · Nan 2;04
  1. MOTwhat could we build ?
    CHIxxx .
    MOT*MOT: move some of that ?
    MOTwe're going to have to move it even more # huh ?
    CHIthis one .
  2. CHIone ?
    CHIum .
    MOT*MOT: here some more .
    CHIhere some more ?
    MOTmmhm .
  3. CHIhere some more ?
    MOTmmhm .
    MOT*MOT: there some more .
    CHIthis come over me .
    CHIthat there .
  4. CHIyeah # this go xxx .
    MOTwhat do you think ?
    MOT*MOT: should we put some little people in them ?
    CHIyeah .
    MOTwait # if we move them down this way they'll fit .
  5. CHIyeah .
    MOTwait # if we move them down this way they'll fit .
    MOT*MOT: here's some more .
    CHIok .
    MOTshould we keep putting people in them ?%mor: v:aux|should pro|we v|keep part|put-PROG n|person&PL prep|in pro|them ?
  6. MOTare there any more people ?
    CHIyeah .
    MOT*MOT: where are some more people ?
    CHIright here .
    MOToh .
  7. MOTshould +...
    MOTwhere should we put the people ?
    MOT*MOT: we can put some of them in the car .
    CHIyeah .
    MOTlet's see .
  8. MOTyeah # that works too .
    CHIO .
    MOT*MOT: here we can take some more people out of the xxx .
    MOTthere .
    MOTput him in there ?

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. Nan eng_USA_Bates18.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/nan28.chaNan 2;4.4278818.74

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. some8 · 100.0%