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. this is too skinny to put that in . MOT · eng_USA_Bates/sue28.cha, line 95 · Sue 2;04
  2. how many is that ? MOT · eng_USA_Bates/sue28.cha, line 258 · Sue 2;04
  3. one # is that +... MOT · eng_USA_Bates/sue28.cha, line 260 · Sue 2;04
  4. is it tricky ? MOT · eng_USA_Bates/sue28.cha, line 309 · Sue 2;04
  1. 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 .
  2. eng_USA_Bates/sue28.cha, line 258 · Sue, 2;4.
    MOT(be)c(a)use I can't see if you have them all over there .
    CHI0 [=! sighs] .
    MOT*MOT: how many is that ?
    MOTone # is that +...
    CHIxxx .
  3. eng_USA_Bates/sue28.cha, line 260 · Sue, 2;4.
    CHI0 [=! sighs] .
    MOThow many is that ?
    MOT*MOT: one # is that +...
    CHIxxx .
    MOTtwo # can you count (th)em ?
  4. eng_USA_Bates/sue28.cha, line 309 · Sue, 2;4.
    CHIyyy .
    MOTyou can do it .
    MOT*MOT: is it tricky ?
    CHIum .
    MOTthere you go .

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. is4 · 100.0%