PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,236 words searched).

  1. he bite you ? MOT · eng_USA_Brown/sarah020.cha, line 450 · Sarah 2;07
  2. did Mr Ears bite you ? MOT · eng_USA_Brown/sarah020.cha, line 457 · Sarah 2;07
  3. he bite xxx ? MOT · eng_USA_Brown/sarah020.cha, line 465 · Sarah 2;07
  4. you bite Mr Ears . MOT · eng_USA_Brown/sarah020.cha, line 469 · Sarah 2;07
  1. eng_USA_Brown/sarah020.cha, line 450 · Sarah, 2;7.05
    MOToh # don't you love Mr Ears ?
    CHIow !
    MOT*MOT: he bite you ?
    CHIyes .
    MOTbad Mr Ears .
  2. eng_USA_Brown/sarah020.cha, line 457 · Sarah, 2;7.05
    CHIyes .
    MOTbad Mr Ears .
    MOT*MOT: did Mr Ears bite you ?
    MOTc(o)me (h)ere .
    MOTxxx .
  3. eng_USA_Brown/sarah020.cha, line 465 · Sarah, 2;7.05
    MOTxxx .
    CHIow .
    MOT*MOT: he bite xxx ?
    MOTbad Mr Ears .
    MOTyou bite Mr Ears .
  4. eng_USA_Brown/sarah020.cha, line 469 · Sarah, 2;7.05
    MOThe bite xxx ?
    MOTbad Mr Ears .
    MOT*MOT: you bite Mr Ears .
    MOTaw .
    MOTpoor Mr Ears .

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_Brown3.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236443.24

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. bite4 · 100.0%