PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

5.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (271 utterances, 1,099 words searched).

  1. Uncle George and Aunt_Dottie and Arthur . MOT · eng_USA_Brown/sarah071.cha, line 72 · Sarah 3;07
  2. Uncle George and Aunt_Dottie and Arthur . MOT · eng_USA_Brown/sarah071.cha, line 72 · Sarah 3;07
  3. Arthur's daddy # and mummy . MOT · eng_USA_Brown/sarah071.cha, line 87 · Sarah 3;07
  4. and I ran [//] # looked all over the place # couldn't find nothin(g) . MOT · eng_USA_Brown/sarah071.cha, line 161 · Sarah 3;07
  5. we should've finished that champagne up last week # and we didn't # huh ? MOT · eng_USA_Brown/sarah071.cha, line 736 · Sarah 3;07
  6. # sits by the hour and plays with her xxx . MOT · eng_USA_Brown/sarah071.cha, line 949 · Sarah 3;07
  1. eng_USA_Brown/sarah071.cha, line 72 · Sarah, 3;7.30
    CHII think Skipper is coming .
    MOTno .
    MOT*MOT: Uncle George and Aunt_Dottie and Arthur .
    CHImy cousin ?
    MOTmmhm .
  2. eng_USA_Brown/sarah071.cha, line 87 · Sarah, 3;7.30
    MOTno not little Georgie .
    CHIwhat ?
    MOT*MOT: Arthur's daddy # and mummy .
    CHII # smell # the dog too .
    MOThmm ?
  3. eng_USA_Brown/sarah071.cha, line 161 · Sarah, 3;7.30
    CHIif you wound em +...
    MOTshe got them from Filene's .
    MOT*MOT: and I ran [//] # looked all over the place # couldn't find nothin(g) .
    MOTturn around ?
    CHIhmm ?
  4. eng_USA_Brown/sarah071.cha, line 736 · Sarah, 3;7.30
    MOT0 .
    CHII want a lot tea .
    MOT*MOT: we should've finished that champagne up last week # and we didn't # huh ?
    MOTgee whiz .
    CHII threw it all up .
  5. eng_USA_Brown/sarah071.cha, line 949 · Sarah, 3;7.30
    MOTI held the handle .
    MOTmy mother has more patience with her than +...
    MOT*MOT: # sits by the hour and plays with her xxx .
    MOTlets her make cakes .
    MOTshe make a cake # I'm ready to kill her .

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_Brown5.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah071.chaSarah 3;7.301,099565.46

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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