PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,827 words searched).

  1. three boys . URS · eng_USA_Brown/adam51.cha, line 253 · Adam 4;07
  2. don't you see three ? URS · eng_USA_Brown/adam51.cha, line 257 · Adam 4;07
  3. why three children ? URS · eng_USA_Brown/adam51.cha, line 500 · Adam 4;07
  4. there were three . URS · eng_USA_Brown/adam51.cha, line 511 · Adam 4;07
  5. three bikes # but two children . MOT · eng_USA_Brown/adam51.cha, line 520 · Adam 4;07
  6. and we have three children and two bikes . MOT · eng_USA_Brown/adam51.cha, line 522 · Adam 4;07
  1. eng_USA_Brown/adam51.cha, line 253 · Adam, 4;7.29
    URSdead !
    CHIdo we have two boys or one boy ?
    URS*URS: three boys .
    CHIthree !
    URSdon't you see three ?
  2. eng_USA_Brown/adam51.cha, line 257 · Adam, 4;7.29
    URSthree boys .
    CHIthree !
    URS*URS: don't you see three ?
    CHIwhere ?
    CHIon your head ?
  3. eng_USA_Brown/adam51.cha, line 500 · Adam, 4;7.29
    CHIhe has two +...
    CHIyou have three children # right ?
    URS*URS: why three children ?
    CHII saw two bikes .
    URStwo bikes ?
  4. eng_USA_Brown/adam51.cha, line 511 · Adam, 4;7.29
    URSoh # you mean big bicycles .
    URSAdam # you're right .
    URS*URS: there were three .
    CHII was right .
    CHInow you have three # like we do # don't we ?
  5. eng_USA_Brown/adam51.cha, line 520 · Adam, 4;7.29
    CHInow you have three # like we do # don't we ?
    MOTno # she has only has two children .
    MOT*MOT: three bikes # but two children .
    MOTand we have three children and two bikes .
    CHIno # one bike .
  6. eng_USA_Brown/adam51.cha, line 522 · Adam, 4;7.29
    MOTno # she has only has two children .
    MOTthree bikes # but two children .
    MOT*MOT: and we have three children and two bikes .
    CHIno # one bike .
    CHItwo bikes .

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. Adam eng_USA_Brown3.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam51.chaAdam 4;7.291,827663.28

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. three6 · 100.0%