PHPCLANCHILDES with regular expressions

5 matches in 3 utterances

18.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (79 utterances, 276 words searched).

  1. oh # tight fit # right ? MOT · eng_USA_Bates/paula28.cha, line 265 · Paula 2;04
  2. yeah # that's right . MOT · eng_USA_Bates/paula28.cha, line 323 · Paula 2;04
  3. we've got to get all of the right ones to go in the right # cylinders # right ? MOT · eng_USA_Bates/paula28.cha, line 333 · Paula 2;04
  4. we've got to get all of the right ones to go in the right # cylinders # right ? MOT · eng_USA_Bates/paula28.cha, line 333 · Paula 2;04
  5. …'ve got to get all of the right ones to go in the right # cylinders # right ? MOT · eng_USA_Bates/paula28.cha, line 333 · Paula 2;04
  1. eng_USA_Bates/paula28.cha, line 265 · Paula, 2;4.
    CHIuhhuh .
    CHIget that out [!] .
    MOT*MOT: oh # tight fit # right ?
    CHIget that out .
    MOTuhhuh .
  2. eng_USA_Bates/paula28.cha, line 323 · Paula, 2;4.
    MOTcan you put a big thing into a small thing ?
    CHIthat go in there [!] .
    MOT*MOT: yeah # that's right .
    MOTwon't work # will it ?
    CHIhuh .
  3. eng_USA_Bates/paula28.cha, line 333 · Paula, 2;4.
    MOTwon't work # will it ?
    CHIhuh .
    MOT*MOT: we've got to get all of the right ones to go in the right # cylinders # right ?
    CHIuhhuh .
    MOTso # we should +...

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. Paula eng_USA_Bates18.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/paula28.chaPaula 2;4.2763518.12

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. right5 · 100.0%