PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 1,986 words searched).

  1. see # Mommy bought +... MOT · eng_USA_Brown/sarah058.cha, line 204 · Sarah 3;04
  2. Mommy # bought the candles . MOT · eng_USA_Brown/sarah058.cha, line 210 · Sarah 3;04
  3. um # Mommy bought the candles . MOT · eng_USA_Brown/sarah058.cha, line 217 · Sarah 3;04
  4. should of bought more # huh ? MOT · eng_USA_Brown/sarah058.cha, line 231 · Sarah 3;04
  5. should of bought two packages . MOT · eng_USA_Brown/sarah058.cha, line 233 · Sarah 3;04
  6. should of bought two packs ? MOT · eng_USA_Brown/sarah058.cha, line 235 · Sarah 3;04
  1. eng_USA_Brown/sarah058.cha, line 204 · Sarah, 3;4.16
    MOTtoday's Daddy's birthday .
    CHIxxx .
    MOT*MOT: see # Mommy bought +...
    MOT# <shut the> [/] # shut the freezer .
    CHI0 .
  2. eng_USA_Brown/sarah058.cha, line 210 · Sarah, 3;4.16
    MOT# <shut the> [/] # shut the freezer .
    CHI0 .
    MOT*MOT: Mommy # bought the candles .
    MOTsee ?
    MOTshut the door .
  3. eng_USA_Brown/sarah058.cha, line 217 · Sarah, 3;4.16
    MOTsee ?
    MOTshut the door .
    MOT*MOT: um # Mommy bought the candles .
    MOTthat nice ?
    MOTwe'll have to make a cake .
  4. eng_USA_Brown/sarah058.cha, line 231 · Sarah, 3;4.16
    MOTthis is for Daddy .
    MOTtwenty four candles .
    MOT*MOT: should of bought more # huh ?
    MOTshould of bought two packages .
    MOTshould of bought two packs ?
  5. eng_USA_Brown/sarah058.cha, line 233 · Sarah, 3;4.16
    MOTtwenty four candles .
    MOTshould of bought more # huh ?
    MOT*MOT: should of bought two packages .
    MOTshould of bought two packs ?
    CHIyeah # two packs +...
  6. eng_USA_Brown/sarah058.cha, line 235 · Sarah, 3;4.16
    MOTshould of bought more # huh ?
    MOTshould of bought two packages .
    MOT*MOT: should of bought two packs ?
    CHIyeah # two packs +...
    CHIge(t) two packs +...

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_Brown3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah058.chaSarah 3;4.161,986663.02

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. bought6 · 100.0%