PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (412 utterances, 1,673 words searched).

  1. good morning . MOT · eng_USA_Brown/adam15.cha, line 56 · Adam 2;10
  2. it's very good . MOT · eng_USA_Brown/adam15.cha, line 730 · Adam 2;10
  3. is yours good ? MOT · eng_USA_Brown/adam15.cha, line 732 · Adam 2;10
  4. no good ? MOT · eng_USA_Brown/adam15.cha, line 883 · Adam 2;10
  5. it's good for you . MOT · eng_USA_Brown/adam15.cha, line 2739 · Adam 2;10
  1. CHI<want some> [//] what de I have # (a)nother train .
    CHIlet me do .
    MOT*MOT: good morning .
    CHICromer .
    CHIwhere your book ?
  2. MOToh no .
    MOTI've finished mine .
    MOT*MOT: it's very good .
    MOTis yours good ?
    CHIyes .
  3. MOTI've finished mine .
    MOTit's very good .
    MOT*MOT: is yours good ?
    CHIyes .
    CHIwant go .
  4. MOTyes .
    CHIno good .
    MOT*MOT: no good ?
    MOTwhy not ?
    CHIno # good # Paul .
  5. CHIyeah # like (a)nother water .
    MOToh # you want another water ?
    MOT*MOT: it's good for you .
    CHII # am burn [/] burn no more .
    MOTyou're burned no more ?

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_Brown2.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam15.chaAdam 2;10.021,673552.99

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. good5 · 100.0%