PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (418 utterances, 1,439 words searched).

  1. do you know where the goose is ? MOT · eng_british_Manchester_I/becky29b.cha, line 42 · Becky 2;10
  2. where's that come from ? MOT · eng_british_Manchester_I/becky29b.cha, line 332 · Becky 2;10
  3. come from where ? MOT · eng_british_Manchester_I/becky29b.cha, line 336 · Becky 2;10
  4. where's the what ? INV · eng_british_Manchester_I/becky29b.cha, line 996 · Becky 2;10
  5. where ? INV · eng_british_Manchester_I/becky29b.cha, line 1309 · Becky 2;10
  6. where's that gone now ? MOT · eng_british_Manchester_I/becky29b.cha, line 1322 · Becky 2;10
  7. where are you ? MOT · eng_british_Manchester_I/becky29b.cha, line 1704 · Becky 2;10
  8. where is the big tiger ? MOT · eng_british_Manchester_I/becky29b.cha, line 1914 · Becky 2;10
  1. MOThere we are .
    MOTthere should be the goose about as well .
    MOT*MOT: do you know where the goose is ?
    CHIhere .
    INVthank you .
  2. MOTis that a cough ?
    CHIyeah .
    MOT*MOT: where's that come from ?
    CHIit's come from +...
    MOTcome from where ?
  3. MOTwhere's that come from ?
    CHIit's come from +...
    MOT*MOT: come from where ?
    CHIit's come from +//.
    CHIthere's another sheep .
  4. CHIoh .
    CHIwhere's the calf ?
    INV*INV: where's the what ?
    CHIwhere's the calf ?
    INVthe cars ?
  5. CHIhide it .
    INVhide it ?
    INV*INV: where ?
    INVoh .
    INVit's gone under the +...
  6. CHIxxx .
    MOTnow .
    MOT*MOT: where's that gone now ?
    INVwww .
    MOThang on .
  7. MOTyou're putting what on ?
    CHIxxx .
    MOT*MOT: where are you ?
    CHII pressed that .
    MOTyou've pressed the green button , have you ?
  8. MOTa big tiger ?
    CHIoh .
    MOT*MOT: where is the big tiger ?
    MOTBecky ?
    INVoh here .

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_I5.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky29b.chaBecky 2;10.111,439885.56

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. where8 · 100.0%