PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. so it will fit . MOT · eng_USA_Bates/sue28.cha, line 82 · Sue 2;04
  2. have to turn it around so it'll fit . MOT · eng_USA_Bates/sue28.cha, line 144 · Sue 2;04
  3. so I can see . MOT · eng_USA_Bates/sue28.cha, line 248 · Sue 2;04
  1. eng_USA_Bates/sue28.cha, line 82 · Sue, 2;4.
    CHI0 .
    MOTyou might have to turn it .
    MOT*MOT: so it will fit .
    MOTwhich one do you think it will go in ?
    CHIwhere ?
  2. eng_USA_Bates/sue28.cha, line 144 · Sue, 2;4.
    CHIwhere that go ?
    MOTthat's right .
    MOT*MOT: have to turn it around so it'll fit .
    MOTlike you do your puzzles at home .
    MOThave to turn (th)em until they fit .
  3. eng_USA_Bates/sue28.cha, line 248 · Sue, 2;4.
    CHIxxx .
    MOTwhy don't you put it over here .
    MOT*MOT: so I can see .
    MOT(o)k ?
    MOT(be)c(a)use I can't see if you have them all over 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. Sue eng_USA_Bates8.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/sue28.chaSue 2;4.359338.36

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. so3 · 100.0%