PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

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

  1. yes . URS · eng_USA_Brown/adam15.cha, line 568 · Adam 2;10
  2. yes # he is a little baby . MOT · eng_USA_Brown/adam15.cha, line 872 · Adam 2;10
  3. yes . MOT · eng_USA_Brown/adam15.cha, line 878 · Adam 2;10
  4. yes . URS · eng_USA_Brown/adam15.cha, line 937 · Adam 2;10
  5. yes . MOT · eng_USA_Brown/adam15.cha, line 1478 · Adam 2;10
  6. oh # yes . MOT · eng_USA_Brown/adam15.cha, line 1546 · Adam 2;10
  7. yes # for Adam . MOT · eng_USA_Brown/adam15.cha, line 1572 · Adam 2;10
  8. yes . MOT · eng_USA_Brown/adam15.cha, line 1751 · Adam 2;10
  9. yes . URS · eng_USA_Brown/adam15.cha, line 1766 · Adam 2;10
  10. yes # you have some yourself . MOT · eng_USA_Brown/adam15.cha, line 2024 · Adam 2;10
  1. CHIwant go down ?
    CHIwant car to go [/] go dat way ?
    URS*URS: yes .
    CHIbeep@o beep@o .
    CHIgo here .
  2. MOThe's a baby ?
    CHIyes .
    MOT*MOT: yes # he is a little baby .
    CHIhe Paul Douglas .
    MOTPaul Douglas ?
  3. CHIhe Paul Douglas .
    MOTPaul Douglas ?
    MOT*MOT: yes .
    CHIno good .
    MOTno good ?
  4. URSwhat is it ?
    CHIwhat is [!!] it ?
    URS*URS: yes .
    CHII don't know .
    CHIhave put back .
  5. MOTwhat do you see ?
    CHItree .
    MOT*MOT: yes .
    CHII # like # tree .
    MOTyou what .
  6. MOTno # no # it's hot .
    CHIwant some .
    MOT*MOT: oh # yes .
    CHIwhy not ?
    CHIwhat d(o) you doing ?
  7. MOTI'm folding diapers .
    CHIwhy folding # for Adam ?
    MOT*MOT: yes # for Adam .
    CHIwhat dat ?
    MOTa diaper .
  8. CHIthought it milk ?
    CHIwant see it ?
    MOT*MOT: yes .
    CHIwhat d(o) you have ?
    CHIwhat she have ?
  9. URSwhat d(o) you think ?
    CHIwhat me think ?
    URS*URS: yes .
    CHIwhat dat ?
    CHIpony .
  10. CHII want have some .
    CHIhave some myself .
    MOT*MOT: yes # you have some yourself .
    CHIok .
    CHII # eat all the poor .

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_Brown5.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam15.chaAdam 2;10.021,67310105.98

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. yes10 · 100.0%