PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,422 words searched).

  1. that's a cow . GLO · eng_USA_Brown/sarah045.cha, line 108 · Sarah 3;01
  2. does the cow talk ? GLO · eng_USA_Brown/sarah045.cha, line 110 · Sarah 3;01
  3. I just realized that that's a purple cow +... GLO · eng_USA_Brown/sarah045.cha, line 1436 · Sarah 3;01
  4. purple cow . MOT · eng_USA_Brown/sarah045.cha, line 1439 · Sarah 3;01
  1. eng_USA_Brown/sarah045.cha, line 108 · Sarah, 3;1.17
    GLOpop@o goes the weasel .
    CHI0 .
    GLO*GLO: that's a cow .
    GLOdoes the cow talk ?
    CHI0 .
  2. eng_USA_Brown/sarah045.cha, line 110 · Sarah, 3;1.17
    CHI0 .
    GLOthat's a cow .
    GLO*GLO: does the cow talk ?
    CHI0 .
    MOTxxx .
  3. eng_USA_Brown/sarah045.cha, line 1436 · Sarah, 3;1.17
    COUmuch less beige .
    KENSarah cat # what color's that ?
    GLO*GLO: I just realized that that's a purple cow +...
    MOTpurple cow .
    CHIyyy .
  4. eng_USA_Brown/sarah045.cha, line 1439 · Sarah, 3;1.17
    KENSarah cat # what color's that ?
    GLOI just realized that that's a purple cow +...
    MOT*MOT: purple cow .
    CHIyyy .
    KENwhat's he say ?

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_Brown2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah045.chaSarah 3;1.171,422442.81

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. cow4 · 100.0%