PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,264 words searched).

  1. Mommy's got some nice mu(ffins) [//] . MOT · eng_USA_Brown/sarah009.cha, line 706 · Sarah 2;04
  2. <a mu(ffin)> [//] nice muffins for you . MOT · eng_USA_Brown/sarah009.cha, line 708 · Sarah 2;04
  3. eat it nice now . MOT · eng_USA_Brown/sarah009.cha, line 779 · Sarah 2;04
  4. why can't you have nice curls . MOT · eng_USA_Brown/sarah009.cha, line 833 · Sarah 2;04
  5. why can't you have nice curls . MOT · eng_USA_Brown/sarah009.cha, line 839 · Sarah 2;04
  6. be nice . MOT · eng_USA_Brown/sarah009.cha, line 1179 · Sarah 2;04
  1. eng_USA_Brown/sarah009.cha, line 706 · Sarah, 2;4.17
    CHII cake ?
    MOTno # that's an old cake now .
    MOT*MOT: Mommy's got some nice mu(ffins) [//] .
    MOT<a mu(ffin)> [//] nice muffins for you .
    MOTbut you want some cereal first ?
  2. eng_USA_Brown/sarah009.cha, line 708 · Sarah, 2;4.17
    MOTno # that's an old cake now .
    MOTMommy's got some nice mu(ffins) [//] .
    MOT*MOT: <a mu(ffin)> [//] nice muffins for you .
    MOTbut you want some cereal first ?
    MOTand some juice ?
  3. eng_USA_Brown/sarah009.cha, line 779 · Sarah, 2;4.17
    MOTok .
    MOTgo ahead .
    MOT*MOT: eat it nice now .
    CHIxxx milk .
    MOTwhat do you want # juice ?
  4. eng_USA_Brown/sarah009.cha, line 833 · Sarah, 2;4.17
    MOTxxx .
    MOToh # Sarah .
    MOT*MOT: why can't you have nice curls .
    MOThmm ?
    MOToh # Sarah .
  5. eng_USA_Brown/sarah009.cha, line 839 · Sarah, 2;4.17
    MOThmm ?
    MOToh # Sarah .
    MOT*MOT: why can't you have nice curls .
    MOThmm ?
    GLOxxx cutting her hair ?
  6. eng_USA_Brown/sarah009.cha, line 1179 · Sarah, 2;4.17
    CHIxxx .
    MOTdon't stick it down in your mouth .
    MOT*MOT: be nice .
    COUwho gave that to you # Sarah ?
    CHINana .

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_Brown4.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah009.chaSarah 2;4.171,264664.75

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. nice6 · 100.0%