PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (453 utterances, 1,834 words searched).

  1. where are they all ? MOT · eng_british_Manchester_I/becky05b.cha, line 272 · Becky 2;01
  2. I don't know where all the rest of them have gone . MOT · eng_british_Manchester_I/becky05b.cha, line 297 · Becky 2;01
  3. I don't know where there's anymore monkeys , Becky . MOT · eng_british_Manchester_I/becky05b.cha, line 902 · Becky 2;01
  4. can you show me where it is ? MOT · eng_british_Manchester_I/becky05b.cha, line 915 · Becky 2;01
  5. where's it gone ? MOT · eng_british_Manchester_I/becky05b.cha, line 999 · Becky 2;01
  6. where was the panda ? MOT · eng_british_Manchester_I/becky05b.cha, line 1385 · Becky 2;01
  7. where was he ? MOT · eng_british_Manchester_I/becky05b.cha, line 1389 · Becky 2;01
  8. where's more ? MOT · eng_british_Manchester_I/becky05b.cha, line 1543 · Becky 2;01
  1. MOTyou're going to need some pennys for your shopping , aren't you ?
    CHIyeah .
    MOT*MOT: where are they all ?
    MOTare they in your purse ?
    MOTshall I get your purse out ?
  2. CHIgrapes .
    MOTyour pennys are here , look .
    MOT*MOT: I don't know where all the rest of them have gone .
    CHIgrapes .
    CHIgrapes .
  3. MOThave we ?
    CHIyes .
    MOT*MOT: I don't know where there's anymore monkeys , Becky .
    CHImonkeys .
    CHIyeah .
  4. CHIyeah .
    CHIno .
    MOT*MOT: can you show me where it is ?
    CHIno .
    CHIum no .
  5. MOTit's gone now your nose has .
    CHIno .
    MOT*MOT: where's it gone ?
    CHImine .
    MOThe's eaten your nose .
  6. MOTpanda was in bed , wasn't he ?
    CHIyeah .
    MOT*MOT: where was the panda ?
    MOThuh ?
    MOTwhere was he ?
  7. MOTwhere was the panda ?
    MOThuh ?
    MOT*MOT: where was he ?
    CHIbed .
    MOThe was in bed .
  8. MOThuh ?
    CHIwhere 0are [*] more .
    MOT*MOT: where's more ?
    CHIyeah .
    MOTI don't think there are any more .

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_I4.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky05b.chaBecky 2;1.241,834884.36

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%