PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (550 utterances, 2,387 words searched).

  1. those are David's ? MOT · eng_USA_Brown/adam28.cha, line 565 · Adam 3;04
  2. those are tweezers . URS · eng_USA_Brown/adam28.cha, line 1145 · Adam 3;04
  3. what're you going to do with those ? URS · eng_USA_Brown/adam28.cha, line 1728 · Adam 3;04
  4. yes # we have one of those . MOT · eng_USA_Brown/adam28.cha, line 1766 · Adam 3;04
  5. yes # we have one of those . MOT · eng_USA_Brown/adam28.cha, line 1770 · Adam 3;04
  6. what kind of cakes are those ? MOT · eng_USA_Brown/adam28.cha, line 2533 · Adam 3;04
  7. those two are just alike . MOT · eng_USA_Brown/adam28.cha, line 2719 · Adam 3;04
  1. CHIdey [//] # she got ta have too many ?
    CHIdese are David's .
    MOT*MOT: those are David's ?
    CHIdese David's .
    MOTwell # put them back in the bag .
  2. CHIwhat is dis # huh ?
    CHIwhat is dis # huh ?
    URS*URS: those are tweezers .
    CHItweezers for what ?
    URSfor picking up things .
  3. CHIwe all have cake .
    CHIwe all eating [?] ladies [?] .
    URS*URS: what're you going to do with those ?
    CHIwhich bag they were # huh # in ?
    URSI'm not sure you can put them back .
  4. MOTcookies and grapefruit .
    CHIdo we have one of dese ?
    MOT*MOT: yes # we have one of those .
    CHIdo we have dis ?
    MOTyes # we have one of those .
  5. MOTyes # we have one of those .
    CHIdo we have dis ?
    MOT*MOT: yes # we have one of those .
    CHIyou have those too ?
    MOTyes .
  6. CHIbuddy cakes .
    MOTbuddy cakes ?
    MOT*MOT: what kind of cakes are those ?
    CHIdose mixer cakes .
    CHIto mixer # when you get dem all dirty and (s)melly .
  7. CHIdo you have two of dem ?
    CHIjust alike ?
    MOT*MOT: those two are just alike .
    CHIdose xxx roller .
    CHII better turn dat light on so Paul won't wake up .

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_Brown2.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam28.chaAdam 3;4.012,387772.93

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. those7 · 100.0%