PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

39.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (77 utterances, 251 words searched).

  1. oh # are you crying ? MOT · eng_USA_Bates/betty28.cha, line 190 · Betty 2;04
  2. oh # these are two benches . MOT · eng_USA_Bates/betty28.cha, line 212 · Betty 2;04
  3. oh # cockle_doodle_doo@o ! MOT · eng_USA_Bates/betty28.cha, line 218 · Betty 2;04
  4. oh ! MOT · eng_USA_Bates/betty28.cha, line 234 · Betty 2;04
  5. oh . MOT · eng_USA_Bates/betty28.cha, line 243 · Betty 2;04
  6. oh thank you . MOT · eng_USA_Bates/betty28.cha, line 319 · Betty 2;04
  7. oh ! MOT · eng_USA_Bates/betty28.cha, line 326 · Betty 2;04
  8. oh # you going to take a nap ? MOT · eng_USA_Bates/betty28.cha, line 334 · Betty 2;04
  9. oh # what does the rooster say ? MOT · eng_USA_Bates/betty28.cha, line 339 · Betty 2;04
  10. oh # what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 403 · Betty 2;04
  1. eng_USA_Bates/betty28.cha, line 190 · Betty, 2;4.
    MOTwould you like to eat breakfast ?
    CHI0 [=! crying sound] .
    MOT*MOT: oh # are you crying ?
    MOTwhat's he doing ?
    CHInight(ie)+night .
  2. eng_USA_Bates/betty28.cha, line 212 · Betty, 2;4.
    CHIno .
    CHIyyy .
    MOT*MOT: oh # these are two benches .
    MOTpeople sit in these .
    MOToh # cockle_doodle_doo@o !
  3. eng_USA_Bates/betty28.cha, line 218 · Betty, 2;4.
    MOToh # these are two benches .
    MOTpeople sit in these .
    MOT*MOT: oh # cockle_doodle_doo@o !
    MOTmorning ["] # says the rooster .
    CHIoh .
  4. eng_USA_Bates/betty28.cha, line 234 · Betty, 2;4.
    MOTthere we go .
    CHIa bed .
    MOT*MOT: oh !
    MOTwhat's this ?
    CHIup .
  5. eng_USA_Bates/betty28.cha, line 243 · Betty, 2;4.
    MOTwhat's this ?
    CHIup .
    MOT*MOT: oh .
    CHIup # up up up !
    MOThuh !
  6. eng_USA_Bates/betty28.cha, line 319 · Betty, 2;4.
    MOTwhere can I sit ?
    CHIeh go !
    MOT*MOT: oh thank you .
    CHIwhere sit ?
    MOToh !
  7. eng_USA_Bates/betty28.cha, line 326 · Betty, 2;4.
    MOToh thank you .
    CHIwhere sit ?
    MOT*MOT: oh !
    MOTwhere can you sit ?
    CHII nap .
  8. eng_USA_Bates/betty28.cha, line 334 · Betty, 2;4.
    MOTwhere can you sit ?
    CHII nap .
    MOT*MOT: oh # you going to take a nap ?
    CHIuh nap !
    MOToh # what does the rooster say ?
  9. eng_USA_Bates/betty28.cha, line 339 · Betty, 2;4.
    MOToh # you going to take a nap ?
    CHIuh nap !
    MOT*MOT: oh # what does the rooster say ?
    CHIooo@o .
    MOTdo you want to go for a ride ?
  10. eng_USA_Bates/betty28.cha, line 403 · Betty, 2;4.
    CHIyyy .
    CHI0 [=! smacking noise] .
    MOT*MOT: oh # what are we eating ?
    MOTwhat are we eating ?
    MOTlook .

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. Betty eng_USA_Bates39.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/betty28.chaBetty 2;4.251101039.84

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. oh10 · 100.0%