PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

8.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (80 utterances, 359 words searched).

  1. can you help me take these out ? MOT · eng_USA_Bates/doug28.cha, line 65 · Doug 2;04
  2. where do these go ? MOT · eng_USA_Bates/doug28.cha, line 176 · Doug 2;04
  3. find the place these go . MOT · eng_USA_Bates/doug28.cha, line 179 · Doug 2;04
  1. eng_USA_Bates/doug28.cha, line 65 · Doug, 2;4.
    CHIyeah .
    MOTok .
    MOT*MOT: can you help me take these out ?
    MOTso we can fix them .
    CHI0 .
  2. eng_USA_Bates/doug28.cha, line 176 · Doug, 2;4.
    MOTthat's what he says # isn't it ?
    MOTwoof@o # woof@o !
    MOT*MOT: where do these go ?
    MOTfind the place these go .
    MOTwhere do they fit ?
  3. eng_USA_Bates/doug28.cha, line 179 · Doug, 2;4.
    MOTwoof@o # woof@o !
    MOTwhere do these go ?
    MOT*MOT: find the place these go .
    MOTwhere do they fit ?
    MOThmm ?

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. Doug eng_USA_Bates8.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/doug28.chaDoug 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. these3 · 100.0%