PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (502 utterances, 2,022 words searched).

  1. d(o) you want a piece of cheese ? MOT · eng_USA_Brown/eve11.cha, line 680 · Eve 1;11
  2. you bit a piece out of it . FAT · eng_USA_Brown/eve11.cha, line 1044 · Eve 1;11
  3. did you bite a hole out of your cheese sandwich ? COL · eng_USA_Brown/eve11.cha, line 1100 · Eve 1;11
  4. that's part of the tapioca . MOT · eng_USA_Brown/eve11.cha, line 1250 · Eve 1;11
  5. why don't we take two of them and put them on the table . RIC · eng_USA_Brown/eve11.cha, line 2742 · Eve 1;11
  6. say # you take the spoon out of there . MOT · eng_USA_Brown/eve11.cha, line 2857 · Eve 1;11
  7. I know # why don't we put some of these away so that we won't sit on them . MOT · eng_USA_Brown/eve11.cha, line 3040 · Eve 1;11
  1. CHItapioca .
    MOTyes # we'll have some tapioca too .
    MOT*MOT: d(o) you want a piece of cheese ?
    CHIno .
    COLno ?
  2. CHII bite it .
    FATyou did bite it .
    FAT*FAT: you bit a piece out of it .
    FATlook # see ?
    FATyou bit a hole in it .
  3. CHIin my [/] my paddle .
    COLm:hm .
    COL*COL: did you bite a hole out of your cheese sandwich ?
    CHIno # out of paddle .
    COLyou bit a hole in your cheese sandwich too .
  4. MOThey # stop spitting out the tapioca .
    CHIwhat that ?
    MOT*MOT: that's part of the tapioca .
    MOTand you don't spit it out .
    CHImore .
  5. RIChuh ?
    CHIyeah .
    RIC*RIC: why don't we take two of them and put them on the table .
    MOTlet's see .
    MOTwhy don't we take [//] this is the Mama # okay and +/.
  6. RICuhhuh .
    CHIthat hot [= coffee] .
    MOT*MOT: say # you take the spoon out of there .
    MOTthat's Cromer's coffee .
    COLlook # Eve .
  7. CHIo:h !
    RICready ?
    MOT*MOT: I know # why don't we put some of these away so that we won't sit on them .
    RICthey can stay .
    RICthey can stay .

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. Eve eng_USA_Brown3.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve11.chaEve 1;11.2,022773.46

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.

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