PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (370 utterances, 1,524 words searched).

  1. <Sarah # what's my Daddy's name> [?] ? GLO · eng_USA_Brown/sarah047.cha, line 106 · Sarah 3;02
  2. what's my Mommy's name ? GLO · eng_USA_Brown/sarah047.cha, line 115 · Sarah 3;02
  3. oh my . GLO · eng_USA_Brown/sarah047.cha, line 400 · Sarah 3;02
  4. <what's my doggie's name> [?] ? MOT · eng_USA_Brown/sarah047.cha, line 754 · Sarah 3;02
  5. my goodness what a pretty dress . GLO · eng_USA_Brown/sarah047.cha, line 1069 · Sarah 3;02
  1. eng_USA_Brown/sarah047.cha, line 106 · Sarah, 3;2.02
    GLOok ?
    CHIhey # I go ge(t) two pencils .
    GLO*GLO: <Sarah # what's my Daddy's name> [?] ?
    CHIuh # Flintstone .
    GLO<that's right # Flintstone> [?] .
  2. eng_USA_Brown/sarah047.cha, line 115 · Sarah, 3;2.02
    CHIuh # Flintstone .
    GLO<that's right # Flintstone> [?] .
    GLO*GLO: what's my Mommy's name ?
    CHIum # Be(tt)y .
    GLOthat's right .
  3. eng_USA_Brown/sarah047.cha, line 400 · Sarah, 3;2.02
    CHIoh here it is .
    GLOoh you found her # let's see .
    GLO*GLO: oh my .
    CHIBam_Bam xxx .
    GLOyou've to Bam_Bam and Pebbles # don't you ?
  4. eng_USA_Brown/sarah047.cha, line 754 · Sarah, 3;2.02
    GLOp@l # r@l # e@l # i@l # huh ?
    CHIgot it twisted .
    MOT*MOT: <what's my doggie's name> [?] ?
    CHIhuh .
    CHIuh # Beeno .
  5. eng_USA_Brown/sarah047.cha, line 1069 · Sarah, 3;2.02
    GLOwhat's that ?
    GLOoh # who's that ?
    GLO*GLO: my goodness what a pretty dress .
    GLOoh isn't that pretty .
    CHIbib .

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_Brown3.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah047.chaSarah 3;2.021,524553.28

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. my5 · 100.0%