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. hmm what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 102 · Betty 2;04
  2. what about him ? MOT · eng_USA_Bates/betty28.cha, line 137 · Betty 2;04
  3. what are we eating # Betty ? MOT · eng_USA_Bates/betty28.cha, line 175 · Betty 2;04
  4. what's he doing ? MOT · eng_USA_Bates/betty28.cha, line 193 · Betty 2;04
  5. what's this ? MOT · eng_USA_Bates/betty28.cha, line 201 · Betty 2;04
  6. what's this ? MOT · eng_USA_Bates/betty28.cha, line 236 · Betty 2;04
  7. oh # what does the rooster say ? MOT · eng_USA_Bates/betty28.cha, line 339 · Betty 2;04
  8. oh # what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 403 · Betty 2;04
  9. what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 406 · Betty 2;04
  10. what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 410 · Betty 2;04
  1. eng_USA_Bates/betty28.cha, line 102 · Betty, 2;4.
    MOTwan(t) (t)a eat breakfast with me ?
    CHIhi .
    MOT*MOT: hmm what are we eating ?
    CHIxxx .
    CHIyyy .
  2. eng_USA_Bates/betty28.cha, line 137 · Betty, 2;4.
    MOTwhoops .
    CHIhi .
    MOT*MOT: what about him ?
    MOTshould we eat breakfast with him ?
    MOTgo +...
  3. eng_USA_Bates/betty28.cha, line 175 · Betty, 2;4.
    CHII eat .
    MOTyou've already eaten ?
    MOT*MOT: what are we eating # Betty ?
    CHIhi !
    CHIyyy .
  4. eng_USA_Bates/betty28.cha, line 193 · Betty, 2;4.
    CHI0 [=! crying sound] .
    MOToh # are you crying ?
    MOT*MOT: what's he doing ?
    CHInight(ie)+night .
    MOThmm # going to take a nap ?
  5. eng_USA_Bates/betty28.cha, line 201 · Betty, 2;4.
    CHInight(ie)+night .
    MOThmm # going to take a nap ?
    MOT*MOT: what's this ?
    CHIno .
    CHIyyy .
  6. eng_USA_Bates/betty28.cha, line 236 · Betty, 2;4.
    CHIa bed .
    MOToh !
    MOT*MOT: what's this ?
    CHIup .
    MOToh .
  7. 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 ?
  8. 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 .
  9. eng_USA_Bates/betty28.cha, line 406 · Betty, 2;4.
    CHI0 [=! smacking noise] .
    MOToh # what are we eating ?
    MOT*MOT: what are we eating ?
    MOTlook .
    MOTwhat are we eating ?
  10. eng_USA_Bates/betty28.cha, line 410 · Betty, 2;4.
    MOTwhat are we eating ?
    MOTlook .
    MOT*MOT: what are we eating ?
    CHI0 .
    MOTpie # looks like a piece of pie .

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. what10 · 100.0%