PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (255 utterances, 1,054 words searched).

  1. is this one of your nights ? MEL · eng_USA_Brown/sarah120.cha, line 33 · Sarah 4;08
  2. is this one of your nights on duty ? MEL · eng_USA_Brown/sarah120.cha, line 40 · Sarah 4;08
  3. put you between two pieces of bread . MOT · eng_USA_Brown/sarah120.cha, line 269 · Sarah 4;08
  4. no # but it could be part of his name . MOT · eng_USA_Brown/sarah120.cha, line 317 · Sarah 4;08
  5. can you think of any that begins with l@l ? MEL · eng_USA_Brown/sarah120.cha, line 363 · Sarah 4;08
  6. isn't there another clown # a friend of Bozo ? MOT · eng_USA_Brown/sarah120.cha, line 950 · Sarah 4;08
  7. you always make such a project out of everything . MOT · eng_USA_Brown/sarah120.cha, line 1037 · Sarah 4;08
  1. MELyou getting ready to go down to work ?
    MOTyup # it won't be long .
    MEL*MEL: is this one of your nights ?
    FAThmm ?
    CHIyyy .
  2. FAThmm ?
    CHIyyy .
    MEL*MEL: is this one of your nights on duty ?
    FATyep # go down (a)n(d) relax .
    FATget away from it all .
  3. GAImm # delicious .
    CHIya wanna eat it ?
    MOT*MOT: put you between two pieces of bread .
    MELwould you be best with salt and pepper on you # or sugar ?
    CHIsugar .
  4. MELthat's a good place .
    CHIa@l is for rabbit ?
    MOT*MOT: no # but it could be part of his name .
    CHIis it ?
    MELyou could call him Arthur and then it would be his name .
  5. CHI(o)k .
    CHIbut what name does it have to begin ?
    MEL*MEL: can you think of any that begins with l@l ?
    CHInope .
    MELhow (a)bout Linda ?
  6. CHIno .
    CHInobody else .
    MOT*MOT: isn't there another clown # a friend of Bozo ?
    CHICoco .
    MOToh yeah # Coco # the clown .
  7. CHII am [?] a faker .
    MOTxxx go right around .
    MOT*MOT: you always make such a project out of everything .
    MOTwhen are you gonna learn ?
    CHII don't know .

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_Brown6.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah120.chaSarah 4;8.071,054776.64

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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