PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,487 words searched).

  1. Bunny . MOT · eng_USA_Brown/sarah007.cha, line 528 · Sarah 2;04
  2. a bunny . MOT · eng_USA_Brown/sarah007.cha, line 532 · Sarah 2;04
  3. a bunny . MOT · eng_USA_Brown/sarah007.cha, line 559 · Sarah 2;04
  4. a bunny ! MOT · eng_USA_Brown/sarah007.cha, line 627 · Sarah 2;04
  5. here # bunny . MOT · eng_USA_Brown/sarah007.cha, line 636 · Sarah 2;04
  1. MOTa what ?
    CHIbu(nn)y .
    MOT*MOT: Bunny .
    CHIbu(nn)y .
    MOTa bunny .
  2. MOTBunny .
    CHIbu(nn)y .
    MOT*MOT: a bunny .
    MOTis that Bugs ?
    CHIbug .
  3. MOTwhat's that ?
    CHIa bu(nn)y .
    MOT*MOT: a bunny .
    MOTwhat's that ?
    MOTdo you remember what that is ?
  4. MOThuh ?
    CHIyyy dere .
    MOT*MOT: a bunny !
    CHIbu(nn)y ?
    MOTyeah .
  5. MOTyeah .
    CHIxxx here bu(nn)y .
    MOT*MOT: here # bunny .
    CHIyyy dere .
    MOTthat's the little old lady .

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_Brown3.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah007.chaSarah 2;4.101,487553.36

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. bunny5 · 100.0%