PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (491 utterances, 2,286 words searched).

  1. oh # did you make something ? MOT · eng_USA_Brown/adam27.cha, line 51 · Adam 3;03
  2. listening to something [?] . MOT · eng_USA_Brown/adam27.cha, line 251 · Adam 3;03
  3. here's something else to look at . MOT · eng_USA_Brown/adam27.cha, line 659 · Adam 3;03
  4. something's wrong with it . MOT · eng_USA_Brown/adam27.cha, line 1005 · Adam 3;03
  5. I guess I needed it to sew something . MOT · eng_USA_Brown/adam27.cha, line 2780 · Adam 3;03
  6. in case something tears . URS · eng_USA_Brown/adam27.cha, line 2792 · Adam 3;03
  7. oh # he was just visiting Paul while you were busy doing something else . MOT · eng_USA_Brown/adam27.cha, line 3153 · Adam 3;03
  1. MOTa sewing machine ?
    CHIsew my clothes [=? clothe] .
    MOT*MOT: oh # did you make something ?
    CHII <make a> [/] # make a tall tall building # with my sewing .
    CHIden [: then] I make a knot [?] .
  2. CHI<she doing> [//] what she doing on her back ?
    CHIwhat ?
    MOT*MOT: listening to something [?] .
    CHIsomething .
    CHIshe [/] # she's .
  3. CHIcan I get a ball ?
    MOTI don't think you need to play with a ball .
    MOT*MOT: here's something else to look at .
    CHIdat from my desk .
    CHIwhat is that ?
  4. CHIg@l .
    MOTis that right ?
    MOT*MOT: something's wrong with it .
    CHIwhat something wrong with it ?
    CHIwhat something wrong ?
  5. CHIMommy # is [?] this your spool ?
    URSyes .
    MOT*MOT: I guess I needed it to sew something .
    CHIcan I have it ?
    MOTwhat ?
  6. CHIcan I have it ?
    CHIwhy you have something to sew with ?
    URS*URS: in case something tears .
    CHIwhat tears ?
    URSI don't know what might tear .
  7. CHIjust +...
    CHIput too much .
    MOT*MOT: oh # he was just visiting Paul while you were busy doing something else .
    CHIwhat I busy ?
    MOTyou were cooking # Paul said .

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. Adam eng_USA_Brown3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam27.chaAdam 3;3.182,286773.06

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. something7 · 100.0%