PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. can you count when you put them in ? MOT · eng_USA_Bates/sue28.cha, line 44 · Sue 2;04
  2. this is too skinny to put that in . MOT · eng_USA_Bates/sue28.cha, line 95 · Sue 2;04
  3. can you put the rest in ? MOT · eng_USA_Bates/sue28.cha, line 129 · Sue 2;04
  4. why don't you put it over here . MOT · eng_USA_Bates/sue28.cha, line 243 · Sue 2;04
  1. eng_USA_Bates/sue28.cha, line 44 · Sue, 2;4.
    CHIxxx .
    MOTwhoop(s) .
    MOT*MOT: can you count when you put them in ?
    MOTone +...
    CHI0 .
  2. eng_USA_Bates/sue28.cha, line 95 · Sue, 2;4.
    MOTwhich one ?
    MOTno # that's too sk(inny) +...
    MOT*MOT: this is too skinny to put that in .
    CHI0 .
    MOTthat's # the easy way out .
  3. eng_USA_Bates/sue28.cha, line 129 · Sue, 2;4.
    CHI0 .
    MOTok .
    MOT*MOT: can you put the rest in ?
    CHIhmm .
    CHIwhere that go ?
  4. eng_USA_Bates/sue28.cha, line 243 · Sue, 2;4.
    MOTok .
    CHIxxx .
    MOT*MOT: why don't you put it over here .
    MOTso I can see .
    MOT(o)k ?

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_Bates11.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/sue28.chaSue 2;4.3594411.14

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. put4 · 100.0%