PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (271 utterances, 1,099 words searched).

  1. you'll be rich # you'll xxx (un)till ninety nine . MOT · eng_USA_Brown/sarah071.cha, line 431 · Sarah 3;07
  2. oh # Chantilly # be quiet . MOT · eng_USA_Brown/sarah071.cha, line 590 · Sarah 3;07
  3. he told me you better be a good girl . MOT · eng_USA_Brown/sarah071.cha, line 626 · Sarah 3;07
  4. she thought she was going to be here this morning . KEN · eng_USA_Brown/sarah071.cha, line 777 · Sarah 3;07
  5. xxx be good . MOT · eng_USA_Brown/sarah071.cha, line 884 · Sarah 3;07
  6. whyn't [: why don't] cha be good ? MOT · eng_USA_Brown/sarah071.cha, line 890 · Sarah 3;07
  7. this is going to be a long week . MOT · eng_USA_Brown/sarah071.cha, line 1056 · Sarah 3;07
  1. CHIyou ripped it .
    MOTput the paper on it .
    MOT*MOT: you'll be rich # you'll xxx (un)till ninety nine .
    MOTwhat're doin(g) with the crackers in the refrigerator ?
    CHIxxx .
  2. CHIyou make this draw .
    CHII can't make it .
    MOT*MOT: oh # Chantilly # be quiet .
    CHIsee # I can't make it .
    CHIyou make it ?
  3. MOTI saw Father Sheehan last night .
    MOTyou know what he told me ?
    MOT*MOT: he told me you better be a good girl .
    CHIyou maked@n one .
    MOTmmhm .
  4. MOTit seems unusual .
    CHIwhat one you want me to do .
    KEN*KEN: she thought she was going to be here this morning .
    KENI talked to her last week .
    CHIoops .
  5. MOTno knittin(g) .
    CHIyes !
    MOT*MOT: xxx be good .
    CHImm .
    MOTwhyn't [: why don't] cha be good ?
  6. MOTxxx be good .
    CHImm .
    MOT*MOT: whyn't [: why don't] cha be good ?
    MOTtake it easy .
    CHIyou make another letter .
  7. CHIDada .
    MOTxxx drowned out by the doll .
    MOT*MOT: this is going to be a long week .
    CHIcoffee all gone .
    MOTxxx .

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. Sarah eng_USA_Brown6.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah071.chaSarah 3;7.301,099776.37

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. be7 · 100.0%