PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (462 utterances, 1,610 words searched).

  1. eat the sandwich right . MOT · eng_USA_Brown/sarah074.cha, line 41 · Sarah 3;08
  2. how ya goin(g) make <anoth(er)> [//] <an(other)> [//] sandwich ? MOT · eng_USA_Brown/sarah074.cha, line 57 · Sarah 3;08
  3. she's tearing the sandwich . ANN · eng_USA_Brown/sarah074.cha, line 101 · Sarah 3;08
  4. eat the sandwich right . MOT · eng_USA_Brown/sarah074.cha, line 105 · Sarah 3;08
  5. starts to fix Sarah's sandwich . ANN · eng_USA_Brown/sarah074.cha, line 232 · Sarah 3;08
  6. xxx eat the sandwich xxx . ANN · eng_USA_Brown/sarah074.cha, line 250 · Sarah 3;08
  7. Ann_Marie # do you want a sandwich ? MOT · eng_USA_Brown/sarah074.cha, line 258 · Sarah 3;08
  1. MOTya had a good time .
    CHIhey I goin(g) make a yyy .
    MOT*MOT: eat the sandwich right .
    CHIyyy ?
    CHIwhat ?
  2. CHIsee ?
    CHII goin(g) make another one .
    MOT*MOT: how ya goin(g) make <anoth(er)> [//] <an(other)> [//] sandwich ?
    MOTcome on .
    MOTdon't play with it .
  3. KENSarah # what're you up to ?
    CHIhuh ?
    ANN*ANN: she's tearing the sandwich .
    ANNxxx .
    MOTeat the sandwich right .
  4. ANNshe's tearing the sandwich .
    ANNxxx .
    MOT*MOT: eat the sandwich right .
    CHII goin(g) make another one .
    CHIlike that .
  5. MOTyeah .
    CHIoh !
    ANN*ANN: starts to fix Sarah's sandwich .
    ANNSarah # c(o)me (h)ere .
    CHIhuh ?
  6. CHImy bum [!!] is tired .
    MOTyou're goin(g) to be tired .
    ANN*ANN: xxx eat the sandwich xxx .
    MOTxxx I didn't know you liked macaroni salad Ann_Marie .
    CHIuh # &h # yyy .
  7. MOTxxx I didn't know you liked macaroni salad Ann_Marie .
    CHIuh # &h # yyy .
    MOT*MOT: Ann_Marie # do you want a sandwich ?
    ANNxxx .
    MOThuh ?

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_Brown4.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah074.chaSarah 3;8.201,610774.35

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. sandwich7 · 100.0%