PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (275 utterances, 1,067 words searched).

  1. they're not the same , are they ? MOT · eng_british_Manchester_II/john10b.cha, line 628 · John 2;02
  2. they've got to be the same , haven't they ? MOT · eng_british_Manchester_II/john10b.cha, line 648 · John 2;02
  3. it's got to be the same as this one to say snap . MOT · eng_british_Manchester_II/john10b.cha, line 702 · John 2;02
  1. eng_british_Manchester_II/john10b.cha, line 628 · John, 2;2.21
    CHIsnap .
    MOTno .
    MOT*MOT: they're not the same , are they ?
    MOTthat one's spotty .
    MOTwhoops .
  2. eng_british_Manchester_II/john10b.cha, line 648 · John, 2;2.21
    CHIsnap .
    MOTnot yet .
    MOT*MOT: they've got to be the same , haven't they ?
    CHIsnap .
    CHIsnap .
  3. eng_british_Manchester_II/john10b.cha, line 702 · John, 2;2.21
    CHIsnap .
    MOTno .
    MOT*MOT: it's got to be the same as this one to say snap .
    MOTput it down on the pile then .
    MOTcome on .

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. John eng_british_Manchester_II2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john10b.chaJohn 2;2.211,067332.81

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. same3 · 100.0%