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. now what ? MOT · eng_USA_Bates/sue28.cha, line 34 · Sue 2;04
  2. now look at the end . MOT · eng_USA_Bates/sue28.cha, line 108 · Sue 2;04
  3. now try . MOT · eng_USA_Bates/sue28.cha, line 177 · Sue 2;04
  1. eng_USA_Bates/sue28.cha, line 34 · Sue, 2;4.
    CHI0 .
    MOTok .
    MOT*MOT: now what ?
    CHIum .
    CHIxxx .
  2. eng_USA_Bates/sue28.cha, line 108 · Sue, 2;4.
    CHIxxx .
    MOTfind the right shape .
    MOT*MOT: now look at the end .
    MOTsee ?
    MOThow it goes like that ?
  3. eng_USA_Bates/sue28.cha, line 177 · Sue, 2;4.
    MOTturn it some more .
    MOTwhy don't you do it like that ?
    MOT*MOT: now try .
    CHI0 .
    MOTstick it in .

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. now3 · 100.0%