PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (333 utterances, 1,270 words searched).

  1. that's gonna be all melted before you get the top off . MOT · eng_USA_Brown/sarah043.cha, line 212 · Sarah 3;01
  2. oh # all over your leg # huh ? MOT · eng_USA_Brown/sarah043.cha, line 288 · Sarah 3;01
  3. you can't xxx with all the ice+cream . MOT · eng_USA_Brown/sarah043.cha, line 311 · Sarah 3;01
  4. aw # you got ice+cream all over your face . MOT · eng_USA_Brown/sarah043.cha, line 329 · Sarah 3;01
  5. what's all that noise ? MOT · eng_USA_Brown/sarah043.cha, line 429 · Sarah 3;01
  6. all you're doing is eating . MOT · eng_USA_Brown/sarah043.cha, line 680 · Sarah 3;01
  7. they're all down the beach . MOT · eng_USA_Brown/sarah043.cha, line 976 · Sarah 3;01
  1. CHIyeah .
    MOTc(o)me on # let me do it .
    MOT*MOT: that's gonna be all melted before you get the top off .
    CHIno .
    MOTyes # it will .
  2. CHIthree .
    MOTthree bears ?
    MOT*MOT: oh # all over your leg # huh ?
    MOTwhose girl are you ?
    CHIyour .
  3. CHISarah .
    CHII want # xxx .
    MOT*MOT: you can't xxx with all the ice+cream .
    MOTfirst eat what you got in your mouth and tell me .
    CHIxxx .
  4. CHIMommy girl .
    MOThow about Daddy ?
    MOT*MOT: aw # you got ice+cream all over your face .
    MOTyou know that ?
    CHIno .
  5. CHIum xxx .
    MOTwhat's that ?
    MOT*MOT: what's all that noise ?
    MOTyou're not telling me anything .
    MOTyou're just making noise .
  6. CHIhey .
    MOTyou're going to get fat .
    MOT*MOT: all you're doing is eating .
    MOT<eat # eat # eat # eat> [/] # eat # huh ?
    MOToop .
  7. MOTwe haven't got any Bandaids .
    MOTyou have to get them .
    MOT*MOT: they're all down the beach .
    CHIxxx # xxx .
    CHII got them .

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_Brown5.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah043.chaSarah 3;1.031,270775.51

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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