PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (363 utterances, 1,733 words searched).

  1. what cat ? MOT · eng_USA_Brown/sarah081.cha, line 370 · Sarah 3;10
  2. our cat ? MOT · eng_USA_Brown/sarah081.cha, line 372 · Sarah 3;10
  3. yeah # our cat died . MOT · eng_USA_Brown/sarah081.cha, line 374 · Sarah 3;10
  4. cat died . MOT · eng_USA_Brown/sarah081.cha, line 379 · Sarah 3;10
  1. eng_USA_Brown/sarah081.cha, line 370 · Sarah, 3;10.09
    CHIno .
    CHIthe cat's dead .
    MOT*MOT: what cat ?
    MOTour cat ?
    MOTyeah # our cat died .
  2. eng_USA_Brown/sarah081.cha, line 372 · Sarah, 3;10.09
    CHIthe cat's dead .
    MOTwhat cat ?
    MOT*MOT: our cat ?
    MOTyeah # our cat died .
    MOTwe've never had very much luck with animals like that .
  3. eng_USA_Brown/sarah081.cha, line 374 · Sarah, 3;10.09
    MOTwhat cat ?
    MOTour cat ?
    MOT*MOT: yeah # our cat died .
    MOTwe've never had very much luck with animals like that .
    MOTcat died .
  4. eng_USA_Brown/sarah081.cha, line 379 · Sarah, 3;10.09
    MOTyeah # our cat died .
    MOTwe've never had very much luck with animals like that .
    MOT*MOT: cat died .
    MOTpoor goldfish .
    MOTbird flew out the window .

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_Brown2.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah081.chaSarah 3;10.091,733442.31

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. cat4 · 100.0%