PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (380 utterances, 1,786 words searched).

  1. actually if we want pink we've got this pink , haven't we ? MOT · eng_british_Manchester_II/warr33a.cha, line 162 · Warren 2;09
  2. because once we've run out of white that's it . MOT · eng_british_Manchester_II/warr33a.cha, line 204 · Warren 2;09
  3. we've run out of white . MOT · eng_british_Manchester_II/warr33a.cha, line 207 · Warren 2;09
  4. we've got some different shapes we can use . MOT · eng_british_Manchester_II/warr33a.cha, line 506 · Warren 2;09
  5. I like the pink we've made . MOT · eng_british_Manchester_II/warr33a.cha, line 689 · Warren 2;09
  6. all this pink we've made . MOT · eng_british_Manchester_II/warr33a.cha, line 808 · Warren 2;09
  1. CHIdo this xxx .
    MOTwe don't really need any more pink .
    MOT*MOT: actually if we want pink we've got this pink , haven't we ?
    CHIit's some white .
    MOTwhat are you doing ?
  2. MOTokay .
    MOTwell we don't want to add too much .
    MOT*MOT: because once we've run out of white that's it .
    MOTwe've run out of white .
    MOTwe haven't got any more .
  3. MOTwell we don't want to add too much .
    MOTbecause once we've run out of white that's it .
    MOT*MOT: we've run out of white .
    MOTwe haven't got any more .
    CHIxxx .
  4. MOTdo you want to try a different shaped worm ?
    CHIclip^clop@o .
    MOT*MOT: we've got some different shapes we can use .
    MOTinstead of lots of little worms we can make one big worm .
    MOTwe can make a square worm .
  5. MOTit's your soft stuff after all , isn't it ?
    MOTnot mine .
    MOT*MOT: I like the pink we've made .
    CHIit's getting into the flower .
    CHIflower .
  6. MOTDaddy's got to do some work .
    MOThe was just looking for the window key .
    MOT*MOT: all this pink we've made .
    CHIoh look at that .
    CHIoh .

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. Warren eng_british_Manchester_II3.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr33a.chaWarren 2;9.161,786663.36

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. we've6 · 100.0%