PHPCLANCHILDES with regular expressions

9 matches in 7 utterances

45.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (61 utterances, 196 words searched).

  1. should we take the car out ? MOT · eng_USA_Bates/frank28.cha, line 33 · Frank 2;04
  2. should the little girl sit in the car ? MOT · eng_USA_Bates/frank28.cha, line 38 · Frank 2;04
  3. should the little girl sit in the car ? MOT · eng_USA_Bates/frank28.cha, line 38 · Frank 2;04
  4. wan(t) (t)a put the people in the rocking chair ? MOT · eng_USA_Bates/frank28.cha, line 99 · Frank 2;04
  5. wan(t) (t)a put the people in the rocking chair ? MOT · eng_USA_Bates/frank28.cha, line 99 · Frank 2;04
  6. looks like the one for [?] dinner . MOT · eng_USA_Bates/frank28.cha, line 113 · Frank 2;04
  7. here's the car . MOT · eng_USA_Bates/frank28.cha, line 200 · Frank 2;04
  8. set that by the table . MOT · eng_USA_Bates/frank28.cha, line 266 · Frank 2;04
  9. can [/] can she walk up the ladder ? MOT · eng_USA_Bates/frank28.cha, line 279 · Frank 2;04
  1. CHIxxx .
    MOThmm ?
    MOT*MOT: should we take the car out ?
    CHIyeah .
    MOTshould the little girl sit in the car ?
  2. MOTshould we take the car out ?
    CHIyeah .
    MOT*MOT: should the little girl sit in the car ?
    CHIyeah .
    MOTthey look like twins # huh ?
  3. CHIpeople .
    MOThmm .
    MOT*MOT: wan(t) (t)a put the people in the rocking chair ?
    CHIwhat's that ?
    MOTwhat is it ?
  4. CHItable .
    MOTyeah .
    MOT*MOT: looks like the one for [?] dinner .
    CHIdinner .
    MOTdinner time ?
  5. CHIxxx dump (th)em out .
    MOTok .
    MOT*MOT: here's the car .
    CHIxxx .
    MOTwell .
  6. MOTwhoa .
    MOThere .
    MOT*MOT: set that by the table .
    MOTno # you can't walk up that ladder # you're too big .
    CHIhuh ?
  7. MOTyou're too big for that ladder .
    CHIoh .
    MOT*MOT: can [/] can she walk up the ladder ?

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. Frank eng_USA_Bates45.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/frank28.chaFrank 2;4.1967945.92

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%