PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,158 words searched).

  1. we need to make a bridge , don't we to put that on . MOT · eng_british_Manchester_I/becky32a.cha, line 368 · Becky 2;11
  2. what you need to do with this bit +... MOT · eng_british_Manchester_I/becky32a.cha, line 406 · Becky 2;11
  3. do we need that one there ? MOT · eng_british_Manchester_I/becky32a.cha, line 456 · Becky 2;11
  1. eng_british_Manchester_I/becky32a.cha, line 368 · Becky, 2;11.01
    CHIxxx .
    MOTwell .
    MOT*MOT: we need to make a bridge , don't we to put that on .
    CHIyeah .
    CHIhere's a big bit .
  2. eng_british_Manchester_I/becky32a.cha, line 406 · Becky, 2;11.01
    CHIand why ?
    MOTum well .
    MOT*MOT: what you need to do with this bit +...
    MOTno .
    MOTmove your knees .
  3. eng_british_Manchester_I/becky32a.cha, line 456 · Becky, 2;11.01
    MOThere .
    MOTwhat's this ?
    MOT*MOT: do we need that one there ?
    CHIyeah .
    CHIthat .

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. Becky eng_british_Manchester_I2.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky32a.chaBecky 2;11.011,158332.59

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. need3 · 100.0%