PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. wan(t) (t)a go to bed ? MOT · eng_USA_Bates/betty28.cha, line 11 · Betty 2;04
  2. wan(t) (t)a eat breakfast with me ? MOT · eng_USA_Bates/betty28.cha, line 96 · Betty 2;04
  3. hmm # going to take a nap ? MOT · eng_USA_Bates/betty28.cha, line 198 · Betty 2;04
  4. oh # you going to take a nap ? MOT · eng_USA_Bates/betty28.cha, line 334 · Betty 2;04
  5. do you want to go for a ride ? MOT · eng_USA_Bates/betty28.cha, line 345 · Betty 2;04
  6. pie # looks like a piece of pie . MOT · eng_USA_Bates/betty28.cha, line 414 · Betty 2;04
  7. and that looks like a salad . MOT · eng_USA_Bates/betty28.cha, line 422 · Betty 2;04
  1. eng_USA_Bates/betty28.cha, line 11 · Betty, 2;4.
    MOTI think it's time to go to bed .
    MOT*MOT: wan(t) (t)a go to bed ?
    CHI(o)k .
    CHIyyy .
  2. eng_USA_Bates/betty28.cha, line 96 · Betty, 2;4.
    CHIhi !
    MOThi !
    MOT*MOT: wan(t) (t)a eat breakfast with me ?
    CHIhi .
    MOThmm what are we eating ?
  3. eng_USA_Bates/betty28.cha, line 198 · Betty, 2;4.
    MOTwhat's he doing ?
    CHInight(ie)+night .
    MOT*MOT: hmm # going to take a nap ?
    MOTwhat's this ?
    CHIno .
  4. 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 ?
  5. eng_USA_Bates/betty28.cha, line 345 · Betty, 2;4.
    MOToh # what does the rooster say ?
    CHIooo@o .
    MOT*MOT: do you want to go for a ride ?
    CHIno .
    MOTok .
  6. eng_USA_Bates/betty28.cha, line 414 · Betty, 2;4.
    MOTwhat are we eating ?
    CHI0 .
    MOT*MOT: pie # looks like a piece of pie .
    MOTand that looks like meat .
    CHImeat .
  7. eng_USA_Bates/betty28.cha, line 422 · Betty, 2;4.
    MOTand that looks like meat .
    CHImeat .
    MOT*MOT: and that looks like a salad .
    CHImeat .

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_Bates27.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/betty28.chaBetty 2;4.2517727.89

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. a7 · 100.0%