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. where are some more people ? MOT · eng_USA_Bates/nan28.cha, line 150 · Nan 2;04
  2. where should we put the rooster ? MOT · eng_USA_Bates/nan28.cha, line 188 · Nan 2;04
  3. where should we put the people ? MOT · eng_USA_Bates/nan28.cha, line 427 · Nan 2;04
  4. where +... MOT · eng_USA_Bates/nan28.cha, line 439 · Nan 2;04
  1. 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 .
  2. eng_USA_Bates/nan28.cha, line 188 · Nan, 2;4.
    MOTa couple in there ?
    CHIum yeah .
    MOT*MOT: where should we put the rooster ?
    CHIxxx .
    CHIin there .
  3. eng_USA_Bates/nan28.cha, line 427 · Nan, 2;4.
    MOTremember this is how the one you got works too .
    MOTshould +...
    MOT*MOT: where should we put the people ?
    MOTwe can put some of them in the car .
    CHIyeah .
  4. eng_USA_Bates/nan28.cha, line 439 · Nan, 2;4.
    CHIyeah .
    MOTlet's see .
    MOT*MOT: where +...
    MOThere's another one .
    MOTthink this would fit in there ?

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. where4 · 100.0%