PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (591 utterances, 1,988 words searched).

  1. all done . MOT · eng_british_Manchester_I/becky02a.cha, line 370 · Becky 2;00
  2. shall we cut them all off ? MOT · eng_british_Manchester_I/becky02a.cha, line 659 · Becky 2;00
  3. have you got them all ? MOT · eng_british_Manchester_I/becky02a.cha, line 996 · Becky 2;00
  4. you're putting them all in there ? MOT · eng_british_Manchester_I/becky02a.cha, line 1382 · Becky 2;00
  5. they've all gone ? MOT · eng_british_Manchester_I/becky02a.cha, line 1399 · Becky 2;00
  6. where've they all gone ? MOT · eng_british_Manchester_I/becky02a.cha, line 1405 · Becky 2;00
  1. MOToh .
    MOTthere we are .
    MOT*MOT: all done .
    CHIthere .
    CHIthere .
  2. MOTshall I cut your toes off ?
    CHIyeah .
    MOT*MOT: shall we cut them all off ?
    CHIyeah .
    MOTshall we cut the others off now ?
  3. CHIyeah .
    MOTI'm not sure +//.
    MOT*MOT: have you got them all ?
    MOTah !
    CHIabcs .
  4. CHIyeah .
    CHIin there .
    MOT*MOT: you're putting them all in there ?
    CHImmhm .
    CHIback .
  5. MOTpardon ?
    CHIall gone .
    MOT*MOT: they've all gone ?
    CHIyeah .
    MOThave they ?
  6. CHIyeah .
    MOThave they ?
    MOT*MOT: where've they all gone ?
    CHIgone .
    MOThmm ?

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_I3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky02a.chaBecky 2;0.141,988663.02

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. all6 · 100.0%