PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (459 utterances, 1,698 words searched).

  1. MOTxxx .
    INVno ?
    MOT*MOT: oh yes .
    MOTyes .
    INVI thought xxx .
  2. INVno ?
    MOToh yes .
    MOT*MOT: yes .
    INVI thought xxx .
    MOThere you are then .
  3. MOTwilln't go on , will it that lid .
    MOTtry +//.
    MOT*MOT: oh yes .
    MOTit does .
    MOTgood .
  4. CHIit's cockadoo [: cockatoo] there .
    MOTa cockadoo [: cockatoo] .
    MOT*MOT: yes .
    MOTthat's where eggs come from though , don't they ?
    MOTthey come from chickens .
  5. MOTI don't think you did .
    CHIa biscuit there .
    MOT*MOT: oh yes .
    MOTI biscuit .
    MOTjust pretend .
  6. CHIthere's one .
    CHIxxx .
    MOT*MOT: oh well yes .
    CHIhay .
    INVhay .
  7. MOTwho's this ?
    CHIit's a tiger .
    MOT*MOT: yes .
    MOTthe Mummy tiger .
    MOTcome to find baby .
  8. CHIdid you bring that ?
    INVI did bring that .
    MOT*MOT: yes .
    INVyes .
    CHIdown there .
  9. INVI did bring that .
    MOTyes .
    INV*INV: yes .
    CHIdown there .
    INVpardon ?

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_I5.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky11b.chaBecky 2;3.201,698995.30

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. yes9 · 100.0%