PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

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

  1. I know she has a new one . MOT · eng_USA_Brown/sarah028.cha, line 319 · Sarah 2;09
  2. this one ? MOT · eng_USA_Brown/sarah028.cha, line 434 · Sarah 2;09
  3. this one ? MOT · eng_USA_Brown/sarah028.cha, line 440 · Sarah 2;09
  4. oh # is this the one you mean ? MOT · eng_USA_Brown/sarah028.cha, line 444 · Sarah 2;09
  5. xxx one ? MOT · eng_USA_Brown/sarah028.cha, line 827 · Sarah 2;09
  6. a new one # a new what ? MOT · eng_USA_Brown/sarah028.cha, line 1012 · Sarah 2;09
  7. you don't have one . MOT · eng_USA_Brown/sarah028.cha, line 1211 · Sarah 2;09
  8. wait one minute # alright ? GLO · eng_USA_Brown/sarah028.cha, line 1454 · Sarah 2;09
  9. just one more ? GLO · eng_USA_Brown/sarah028.cha, line 1461 · Sarah 2;09
  10. alright # just one more . GLO · eng_USA_Brown/sarah028.cha, line 1463 · Sarah 2;09
  11. one more in a minute # ok ? GLO · eng_USA_Brown/sarah028.cha, line 1465 · Sarah 2;09
  1. eng_USA_Brown/sarah028.cha, line 319 · Sarah, 2;9.06
    MOTTammy ?
    CHI<she have> [?] new one .
    MOT*MOT: I know she has a new one .
    CHIher [?] not home yet .
    MOTshe's not home yet ?
  2. eng_USA_Brown/sarah028.cha, line 434 · Sarah, 2;9.06
    CHIher [?] get my book .
    CHImy big book .
    MOT*MOT: this one ?
    CHIno # big [/] big book .
    MOTbig book ?
  3. eng_USA_Brown/sarah028.cha, line 440 · Sarah, 2;9.06
    CHIno # big [/] big book .
    MOTbig book ?
    MOT*MOT: this one ?
    CHIbig book .
    MOToh # is this the one you mean ?
  4. eng_USA_Brown/sarah028.cha, line 444 · Sarah, 2;9.06
    MOTthis one ?
    CHIbig book .
    MOT*MOT: oh # is this the one you mean ?
    MOToh .
    CHIyyy .
  5. eng_USA_Brown/sarah028.cha, line 827 · Sarah, 2;9.06
    CHIis dat yyy ?
    CHIxxx yyy # xxx one .
    MOT*MOT: xxx one ?
    GLOwhat's yyy ?
    MOTcolor .
  6. eng_USA_Brown/sarah028.cha, line 1012 · Sarah, 2;9.06
    MOTI don't know what that was .
    CHIxxx new one .
    MOT*MOT: a new one # a new what ?
    CHIdis .
    MOTnever mind dis .
  7. 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 .
  8. eng_USA_Brown/sarah028.cha, line 1454 · Sarah, 2;9.06
    CHI0 .
    GLOyou want more ice+cream ?
    GLO*GLO: wait one minute # alright ?
    CHIone more .
    CHIone more .
  9. eng_USA_Brown/sarah028.cha, line 1461 · Sarah, 2;9.06
    CHIone more .
    CHIone more .
    GLO*GLO: just one more ?
    GLOalright # just one more .
    GLOone more in a minute # ok ?
  10. eng_USA_Brown/sarah028.cha, line 1463 · Sarah, 2;9.06
    CHIone more .
    GLOjust one more ?
    GLO*GLO: alright # just one more .
    GLOone more in a minute # ok ?
    CHIok .
  11. eng_USA_Brown/sarah028.cha, line 1465 · Sarah, 2;9.06
    GLOjust one more ?
    GLOalright # just one more .
    GLO*GLO: one more in a minute # ok ?
    CHIok .

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_Brown9.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,14911119.57

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. one11 · 100.0%