PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,149 words searched).

  1. we'll have to call up Auntie_Marilyn and get this straight # huh . MOT · eng_USA_Brown/sarah028.cha, line 288 · Sarah 2;09
  2. I think we have a problem . MOT · eng_USA_Brown/sarah028.cha, line 400 · Sarah 2;09
  3. he don't have a car . MOT · eng_USA_Brown/sarah028.cha, line 855 · Sarah 2;09
  4. yeah # just you have a car . MOT · eng_USA_Brown/sarah028.cha, line 878 · Sarah 2;09
  5. you don't have one . MOT · eng_USA_Brown/sarah028.cha, line 1211 · Sarah 2;09
  6. whyn't [: why don't] you wait and have some for after supper # save some for later ? GLO · eng_USA_Brown/sarah028.cha, line 1435 · Sarah 2;09
  1. eng_USA_Brown/sarah028.cha, line 288 · Sarah, 2;9.06
    CHIDawson ?
    CHII make Dawson ?
    MOT*MOT: we'll have to call up Auntie_Marilyn and get this straight # huh .
    CHImmhm .
    MOTI guess we will .
  2. eng_USA_Brown/sarah028.cha, line 400 · Sarah, 2;9.06
    MOTyour books are in your room .
    CHIno .
    MOT*MOT: I think we have a problem .
    MOTtell me # what's the matter .
    CHIbig book .
  3. eng_USA_Brown/sarah028.cha, line 855 · Sarah, 2;9.06
    CHIwhere boy yyy .
    MOTwhere's the boy's car ?
    MOT*MOT: he don't have a car .
    CHIyyy .
    MOTno .
  4. eng_USA_Brown/sarah028.cha, line 878 · Sarah, 2;9.06
    MOThmm ?
    CHIyyy me car ?
    MOT*MOT: yeah # just you have a car .
    CHIohohoho@b .
    CHIoh .
  5. eng_USA_Brown/sarah028.cha, line 1211 · Sarah, 2;9.06
    CHIok .
    CHIwhere mine's ?
    MOT*MOT: you don't have one .
    MOTyou're a lost Indian .
    MOTdon't do that .
  6. eng_USA_Brown/sarah028.cha, line 1435 · Sarah, 2;9.06
    CHII want more .
    GLOyou sure you want more ?
    GLO*GLO: whyn't [: why don't] you wait and have some for after supper # save some for later ?
    CHIno .
    GLOhuh ?

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_Brown5.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149665.22

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. have6 · 100.0%