PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

9.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (88 utterances, 427 words searched).

  1. oh # are you putting it over there ? MOT · eng_USA_Bates/nan28.cha, line 85 · Nan 2;04
  2. are there any more people ? MOT · eng_USA_Bates/nan28.cha, line 144 · Nan 2;04
  3. where are some more people ? MOT · eng_USA_Bates/nan28.cha, line 150 · Nan 2;04
  4. which side are you going to put in ? MOT · eng_USA_Bates/nan28.cha, line 240 · Nan 2;04
  1. eng_USA_Bates/nan28.cha, line 85 · Nan, 2;4.
    CHIput it there .
    CHIover here put .
    MOT*MOT: oh # are you putting it over there ?
    CHIyeah # this go xxx .
    MOTwhat do you think ?
  2. eng_USA_Bates/nan28.cha, line 144 · Nan, 2;4.
    CHIyeah .
    CHIoh this one put in there .
    MOT*MOT: are there any more people ?
    CHIyeah .
    MOTwhere are some more people ?
  3. eng_USA_Bates/nan28.cha, line 150 · Nan, 2;4.
    MOTare there any more people ?
    CHIyeah .
    MOT*MOT: where are some more people ?
    CHIright here .
    MOToh .
  4. eng_USA_Bates/nan28.cha, line 240 · Nan, 2;4.
    CHIdo_do_do@wp that side .
    MOTthat side ?
    MOT*MOT: which side are you going to put in ?
    CHIput in that one .
    MOToh # ok .

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. Nan eng_USA_Bates9.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/nan28.chaNan 2;4.427449.37

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. are4 · 100.0%