PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

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

  1. these are bunk beds . MOT · eng_USA_Bates/betty28.cha, line 44 · Betty 2;04
  2. hmm what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 102 · Betty 2;04
  3. what are we eating # Betty ? MOT · eng_USA_Bates/betty28.cha, line 175 · Betty 2;04
  4. oh # are you crying ? MOT · eng_USA_Bates/betty28.cha, line 190 · Betty 2;04
  5. oh # these are two benches . MOT · eng_USA_Bates/betty28.cha, line 212 · Betty 2;04
  6. how are you ? MOT · eng_USA_Bates/betty28.cha, line 267 · Betty 2;04
  7. oh # what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 403 · Betty 2;04
  8. what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 406 · Betty 2;04
  9. what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 410 · Betty 2;04
  1. eng_USA_Bates/betty28.cha, line 44 · Betty, 2;4.
    MOTlook at that .
    CHIah .
    MOT*MOT: these are bunk beds .
    CHIa bed [?] .
    MOTok .
  2. 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 .
  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 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 .
  5. 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 !
  6. eng_USA_Bates/betty28.cha, line 267 · Betty, 2;4.
    CHIyyy !
    CHIyyy .
    MOT*MOT: how are you ?
    CHIuh morning .
    MOTyou look awfully sad .
  7. 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 .
  8. 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 ?
  9. 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_Bates35.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/betty28.chaBetty 2;4.2519935.86

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. are9 · 100.0%