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. how it goes like that ? MOT · eng_USA_Bates/sue28.cha, line 112 · Sue 2;04
  2. how many is that ? MOT · eng_USA_Bates/sue28.cha, line 258 · Sue 2;04
  3. should I show you how . MOT · eng_USA_Bates/sue28.cha, line 342 · Sue 2;04
  1. eng_USA_Bates/sue28.cha, line 112 · Sue, 2;4.
    MOTnow look at the end .
    MOTsee ?
    MOT*MOT: how it goes like that ?
    CHIhuh .
    MOTdo you find one like that ?
  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 342 · Sue, 2;4.
    MOTwant to do one like that ?
    CHIuh .
    MOT*MOT: should I show you how .
    MOTok .

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. how3 · 100.0%