PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

19.92 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 are we eating # Betty ? MOT · eng_USA_Bates/betty28.cha, line 175 · Betty 2;04
  3. oh # what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 403 · Betty 2;04
  4. what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 406 · Betty 2;04
  5. what are we eating ? MOT · eng_USA_Bates/betty28.cha, line 410 · Betty 2;04
  1. MOTwan(t) (t)a eat breakfast with me ?
    CHIhi .
    MOT*MOT: hmm what are we eating ?
    CHIxxx .
    CHIyyy .
  2. CHII eat .
    MOTyou've already eaten ?
    MOT*MOT: what are we eating # Betty ?
    CHIhi !
    CHIyyy .
  3. CHIyyy .
    CHI0 [=! smacking noise] .
    MOT*MOT: oh # what are we eating ?
    MOTwhat are we eating ?
    MOTlook .
  4. CHI0 [=! smacking noise] .
    MOToh # what are we eating ?
    MOT*MOT: what are we eating ?
    MOTlook .
    MOTwhat are we eating ?
  5. 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_Bates19.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/betty28.chaBetty 2;4.2515519.92

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. eating5 · 100.0%