PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (451 utterances, 1,619 words searched).

  1. but you [/] you don't say snap unless you can get two the same . MOT · eng_british_Manchester_I/becky34a.cha, line 1611 · Becky 2;11
  2. why are they the same ? MOT · eng_british_Manchester_I/becky34a.cha, line 1626 · Becky 2;11
  3. they're not the same , are they ? MOT · eng_british_Manchester_I/becky34a.cha, line 1628 · Becky 2;11
  4. what do we do if it's the same , Becky ? MOT · eng_british_Manchester_I/becky34a.cha, line 1660 · Becky 2;11
  5. not the same . MOT · eng_british_Manchester_I/becky34a.cha, line 1788 · Becky 2;11
  1. CHIwhat [/] what's it called ?
    MOTit's called snap .
    MOT*MOT: but you [/] you don't say snap unless you can get two the same .
    MOTdo you ?
    CHIno .
  2. MOTit's not snap .
    MOTnow .
    MOT*MOT: why are they the same ?
    MOTthey're not the same , are they ?
    CHIno .
  3. MOTnow .
    MOTwhy are they the same ?
    MOT*MOT: they're not the same , are they ?
    CHIno .
    MOTno .
  4. MOTyeah .
    MOTso +...
    MOT*MOT: what do we do if it's the same , Becky ?
    CHII don't know .
    CHIsay snap .
  5. MOTno .
    CHInot a [*] same .
    MOT*MOT: not the same .
    CHIthey are running out .
    CHIxxx .

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_I3.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky34a.chaBecky 2;11.151,619553.09

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. same5 · 100.0%