PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

8.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (234 utterances, 859 words searched).

  1. just wanted to know where you were . MOT · eng_USA_Brown/sarah039.cha, line 22 · Sarah 2;11
  2. I know the bees . MOT · eng_USA_Brown/sarah039.cha, line 534 · Sarah 2;11
  3. I don't know # what's his name ? MOT · eng_USA_Brown/sarah039.cha, line 661 · Sarah 2;11
  4. you know . MOT · eng_USA_Brown/sarah039.cha, line 666 · Sarah 2;11
  5. I don't know . MOT · eng_USA_Brown/sarah039.cha, line 668 · Sarah 2;11
  6. you know them all # don't you ? MOT · eng_USA_Brown/sarah039.cha, line 688 · Sarah 2;11
  7. I don't know where we're gonna put them all when they come home . MOT · eng_USA_Brown/sarah039.cha, line 784 · Sarah 2;11
  1. eng_USA_Brown/sarah039.cha, line 22 · Sarah, 2;11.30
    CHIwhat ?
    CHIwhat ?
    MOT*MOT: just wanted to know where you were .
    MOTwhat're you doing ?
    MOTwhat're you eating ?
  2. eng_USA_Brown/sarah039.cha, line 534 · Sarah, 2;11.30
    MOTyour what ?
    CHIbees .
    MOT*MOT: I know the bees .
    MOTon your what ?
    MOTyour [//] # on your belly ?
  3. eng_USA_Brown/sarah039.cha, line 661 · Sarah, 2;11.30
    CHIwhat's that ?
    MOTlet's see # what's his name ?
    MOT*MOT: I don't know # what's his name ?
    CHIum +...
    MOTyou know .
  4. eng_USA_Brown/sarah039.cha, line 666 · Sarah, 2;11.30
    MOTI don't know # what's his name ?
    CHIum +...
    MOT*MOT: you know .
    MOTI don't know .
    CHIBoo !
  5. eng_USA_Brown/sarah039.cha, line 668 · Sarah, 2;11.30
    CHIum +...
    MOTyou know .
    MOT*MOT: I don't know .
    CHIBoo !
    MOTwhat's his name ?
  6. eng_USA_Brown/sarah039.cha, line 688 · Sarah, 2;11.30
    CHImy Boo .
    MOTyeah # you're right .
    MOT*MOT: you know them all # don't you ?
    CHIyeah .
    MOThuh ?
  7. eng_USA_Brown/sarah039.cha, line 784 · Sarah, 2;11.30
    CHIfour !
    MOTmore than four .
    MOT*MOT: I don't know where we're gonna put them all when they come home .
    CHIyeah .
    MOTwhat're you doing ?

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_Brown8.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah039.chaSarah 2;11.30859778.15

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. know7 · 100.0%