PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

4.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (414 utterances, 1,606 words searched).

  1. come on (a)n(d) see how bad your God damned thing . NEI · eng_USA_Brown/sarah054.cha, line 252 · Sarah 3;03
  2. better put a diaper on the baby . GLO · eng_USA_Brown/sarah054.cha, line 773 · Sarah 3;03
  3. you put <it on> [//] a diaper on ? MOT · eng_USA_Brown/sarah054.cha, line 775 · Sarah 3;03
  4. you put <it on> [//] a diaper on ? MOT · eng_USA_Brown/sarah054.cha, line 775 · Sarah 3;03
  5. now you # better put a diaper on the baby . GLO · eng_USA_Brown/sarah054.cha, line 780 · Sarah 3;03
  6. xxx she go(t) no diaper on ? MOT · eng_USA_Brown/sarah054.cha, line 783 · Sarah 3;03
  7. she got # her bottle up on her forehead (a)n(d) everything else . MOT · eng_USA_Brown/sarah054.cha, line 1037 · Sarah 3;03
  1. CHIMommy # I get it .
    CHI(o)k # xxx .
    NEI*NEI: come on (a)n(d) see how bad your God damned thing .
    NEIwhat's this .
    MOT# it's just pourin(g) down .
  2. MOTge(t) some ?
    MOTge(t) some ?
    GLO*GLO: better put a diaper on the baby .
    MOTyou put <it on> [//] a diaper on ?
    CHIok .
  3. MOTge(t) some ?
    GLObetter put a diaper on the baby .
    MOT*MOT: you put <it on> [//] a diaper on ?
    CHIok .
    GLOnow you # better put a diaper on the baby .
  4. MOTyou put <it on> [//] a diaper on ?
    CHIok .
    GLO*GLO: now you # better put a diaper on the baby .
    MOTxxx she go(t) no diaper on ?
    MOTno .
  5. CHIok .
    GLOnow you # better put a diaper on the baby .
    MOT*MOT: xxx she go(t) no diaper on ?
    MOTno .
    MOThere # let's put some kleenex .
  6. MOTwell wipe it off .
    MOTdon't have her [//] look # good lord .
    MOT*MOT: she got # her bottle up on her forehead (a)n(d) everything else .
    CHIum [/] # um yyy yyy .
    CHIhuh .

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_Brown4.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah054.chaSarah 3;3.201,606674.36

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. on7 · 100.0%