PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (438 utterances, 1,507 words searched).

  1. who's Beaver ? MOT · eng_USA_Brown/sarah059.cha, line 591 · Sarah 3;04
  2. who's Beaver ? MOT · eng_USA_Brown/sarah059.cha, line 598 · Sarah 3;04
  3. yeah # and who's Sheba ? MOT · eng_USA_Brown/sarah059.cha, line 603 · Sarah 3;04
  4. who's Tramp . MOT · eng_USA_Brown/sarah059.cha, line 669 · Sarah 3;04
  5. who's on the front ? MOT · eng_USA_Brown/sarah059.cha, line 1489 · Sarah 3;04
  6. who's this ? MOT · eng_USA_Brown/sarah059.cha, line 1493 · Sarah 3;04
  7. who's that ? MOT · eng_USA_Brown/sarah059.cha, line 1496 · Sarah 3;04
  8. who's on the front of what ? MOT · eng_USA_Brown/sarah059.cha, line 1693 · Sarah 3;04
  1. CHII'll sure listen to bed .
    CHIuh +...
    MOT*MOT: who's Beaver ?
    CHIhuh ?
    MOTKent doesn't know who Beaver is .
  2. CHIhuh ?
    MOTKent doesn't know who Beaver is .
    MOT*MOT: who's Beaver ?
    CHIuh # Beaver's a dog .
    MOTyeah # and who's Sheba ?
  3. MOTwho's Beaver ?
    CHIuh # Beaver's a dog .
    MOT*MOT: yeah # and who's Sheba ?
    CHISheba's a dog .
    CHIshe +...
  4. CHIyeah .
    MOTyeah # you can buy Tramp a bone .
    MOT*MOT: who's Tramp .
    CHIhere .
    MOTwho is he ?
  5. CHIMommy .
    MOTthat nice ?
    MOT*MOT: who's on the front ?
    CHIhuh ?
    MOTwho's this ?
  6. MOTwho's on the front ?
    CHIhuh ?
    MOT*MOT: who's this ?
    MOTwho's that ?
    CHIbunny .
  7. CHIhuh ?
    MOTwho's this ?
    MOT*MOT: who's that ?
    CHIbunny .
    MOTbunny .
  8. MOTwhat ?
    CHIhe lay on the front .
    MOT*MOT: who's on the front of what ?
    CHIthe back +...

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_Brown5.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah059.chaSarah 3;4.261,507885.31

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. who's8 · 100.0%