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. shall we eat our breakfast ? MOT · eng_USA_Bates/betty28.cha, line 64 · Betty 2;04
  2. hmm what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 102 · Betty 2;04
  3. should we eat breakfast with him ? MOT · eng_USA_Bates/betty28.cha, line 139 · Betty 2;04
  4. what are we eating # Betty ? MOT · eng_USA_Bates/betty28.cha, line 175 · Betty 2;04
  5. there we go . MOT · eng_USA_Bates/betty28.cha, line 228 · Betty 2;04
  6. should we put the beds in the house ? MOT · eng_USA_Bates/betty28.cha, line 387 · Betty 2;04
  7. should we make this our house ? MOT · eng_USA_Bates/betty28.cha, line 391 · 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. MOTok .
    MOTlet's sit in the chair .
    MOT*MOT: shall we eat our breakfast ?
    CHIyyy .
    MOT0 [=! yawns] .
  2. MOTwan(t) (t)a eat breakfast with me ?
    CHIhi .
    MOT*MOT: hmm what are we eating ?
    CHIxxx .
    CHIyyy .
  3. CHIhi .
    MOTwhat about him ?
    MOT*MOT: should we eat breakfast with him ?
    MOTgo +...
    CHIa bed [?] .
  4. CHII eat .
    MOTyou've already eaten ?
    MOT*MOT: what are we eating # Betty ?
    CHIhi !
    CHIyyy .
  5. MOTmorning ["] # says the rooster .
    CHIoh .
    MOT*MOT: there we go .
    CHIa bed .
    MOToh !
  6. CHIyyy .
    MOTok .
    MOT*MOT: should we put the beds in the house ?
    MOTshould we make this our house ?
    CHIyyy .
  7. MOTok .
    MOTshould we put the beds in the house ?
    MOT*MOT: should we make this our house ?
    CHIyyy .
    CHI0 [=! smacking noise] .
  8. CHIyyy .
    CHI0 [=! smacking noise] .
    MOT*MOT: oh # what are we eating ?
    MOTwhat are we eating ?
    MOTlook .
  9. CHI0 [=! smacking noise] .
    MOToh # what are we eating ?
    MOT*MOT: what are we eating ?
    MOTlook .
    MOTwhat are we eating ?
  10. 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. we10 · 100.0%