PHPCLANCHILDES with regular expressions

17 matches in 17 utterances

7.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (703 utterances, 2,406 words searched).

  1. CHIyeah .
    MOTthey're in the car , aren't they at the moment ?
    MOT*MOT: yeah ?
    MOTin Caroline's car ?
    MOTwere we reading Paddington ?
  2. MOTin Caroline's car ?
    MOTwere we reading Paddington ?
    MOT*MOT: yeah [>] .
    CHIyeah [<] .
    CHICaroline .
  3. CHIlook .
    INVoh .
    MOT*MOT: yeah .
    MOTwhere did this book come from ?
    MOTwhere did it come from ?
  4. MOTand it's ringing , isn't it ?
    MOTsaying wake up , Paddington .
    MOT*MOT: yeah .
    MOTtime to get up .
    MOTand what's he do ?
  5. CHIbrushing teeth .
    MOTbrushing his teeth , is he ?
    MOT*MOT: yeah .
    MOTin that one he is .
    MOTwhat's he doing here though ?
  6. CHIflannel .
    MOTflannel .
    MOT*MOT: yeah .
    MOTuhhum .
    MOTnow .
  7. CHIplug .
    MOTplug .
    MOT*MOT: yeah .
    MOTwhat are these ?
    MOTwhat's the water coming out of ?
  8. MOTdid he ?
    CHIyeah .
    MOT*MOT: oh yeah .
    MOThe did there .
    MOToh .
  9. MOTwhat's he looking at ?
    CHIcake .
    MOT*MOT: yeah .
    CHIbiscuits .
    MOTI think they're cakes .
  10. CHIcup of tea .
    MOTcup of tea .
    MOT*MOT: yeah .
    MOToh no .
    MOTwhat's he doing ?
  11. CHIcarrot .
    MOTcarrot .
    MOT*MOT: yeah .
    MOTwhat's the carrot on ?
    CHIum +...
  12. CHIbroken egg .
    MOTbroken an egg .
    MOT*MOT: yeah .
    MOTwhat's he doing ?
    CHIrolling .
  13. MOTno ?
    MOThave you had enough of this book ?
    MOT*MOT: yeah ?
    MOTlet's see .
    MOTcan you remember what that +//.
  14. CHIfroggie .
    MOTfroggie .
    MOT*MOT: yeah .
    MOTdid you wear your costume ?
    CHIno .
  15. MOTand what did you have on ?
    MOTjust your knickers , didn't you ?
    MOT*MOT: yeah ?
    CHIyeah .
    MOTpardon ?
  16. MOTwhere did that come from ?
    MOTZoe made it , didn't she ?
    MOT*MOT: yeah ?
    MOTwhat's that ?
    CHIbell .
  17. MOTno .
    MOTwe'll save it for him when he's awake .
    MOT*MOT: yeah ?
    MOTwhat can you see ?
    MOTanything interesting out there ?

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. Gail eng_british_Manchester_I7.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail03a.chaGail 2;0.192,40617177.07

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. yeah17 · 100.0%