PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,304 words searched).

  1. oh # that's not Millisan(dy) [//] Gloria has Millisandy . MOT · eng_USA_Brown/sarah048.cha, line 1271 · Sarah 3;02
  2. did you know that's Millisandy ? MOT · eng_USA_Brown/sarah048.cha, line 1274 · Sarah 3;02
  3. oh # this is Millisandy . GLO · eng_USA_Brown/sarah048.cha, line 1277 · Sarah 3;02
  4. that's Millisandy . MOT · eng_USA_Brown/sarah048.cha, line 1279 · Sarah 3;02
  5. <why don't you &te> [//] why don't you feed Millisandy ? GLO · eng_USA_Brown/sarah048.cha, line 1311 · Sarah 3;02
  1. eng_USA_Brown/sarah048.cha, line 1271 · Sarah, 3;2.10
    MOTto fit together .
    CHIMillisan(d)y .
    MOT*MOT: oh # that's not Millisan(dy) [//] Gloria has Millisandy .
    MOTdid you know that's Millisandy ?
    GLOoh # this is Millisandy .
  2. eng_USA_Brown/sarah048.cha, line 1274 · Sarah, 3;2.10
    CHIMillisan(d)y .
    MOToh # that's not Millisan(dy) [//] Gloria has Millisandy .
    MOT*MOT: did you know that's Millisandy ?
    GLOoh # this is Millisandy .
    MOTthat's Millisandy .
  3. eng_USA_Brown/sarah048.cha, line 1277 · Sarah, 3;2.10
    MOToh # that's not Millisan(dy) [//] Gloria has Millisandy .
    MOTdid you know that's Millisandy ?
    GLO*GLO: oh # this is Millisandy .
    MOTthat's Millisandy .
    GLOoh # that's right # I remember .
  4. eng_USA_Brown/sarah048.cha, line 1279 · Sarah, 3;2.10
    MOTdid you know that's Millisandy ?
    GLOoh # this is Millisandy .
    MOT*MOT: that's Millisandy .
    GLOoh # that's right # I remember .
    CHIyeah # he too big fo(r) me .
  5. eng_USA_Brown/sarah048.cha, line 1311 · Sarah, 3;2.10
    CHIgi(v)e me M(ill)asan(d)y .
    CHIgi(ve) M(ill)asan(d)y .
    GLO*GLO: <why don't you &te> [//] why don't you feed Millisandy ?
    GLOhe or she ?
    CHI(be)cause he don('t) open his mouth .

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_Brown3.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah048.chaSarah 3;2.101,304553.83

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. millisandy5 · 100.0%