PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (237 utterances, 909 words searched).

  1. there's Beaver # honey . MOT · eng_USA_Brown/sarah025.cha, line 227 · Sarah 2;08
  2. see Beaver ? MOT · eng_USA_Brown/sarah025.cha, line 240 · Sarah 2;08
  3. Beaver # yeah . MOT · eng_USA_Brown/sarah025.cha, line 260 · Sarah 2;08
  4. Beaver . MOT · eng_USA_Brown/sarah025.cha, line 264 · Sarah 2;08
  5. who's Beaver # Sarah ? COU · eng_USA_Brown/sarah025.cha, line 269 · Sarah 2;08
  1. MOTgo on # want to change the fish's water ?
    CHIyes .
    MOT*MOT: there's Beaver # honey .
    CHIwhere ?
    MOTup there .
  2. MOTsee him # down at the corner .
    MOThe didn't see you .
    MOT*MOT: see Beaver ?
    CHIoh !
    MOTsee ?
  3. MOTthat's he's cute .
    CHIa Beaver .
    MOT*MOT: Beaver # yeah .
    CHIBeaver .
    MOTBeaver .
  4. MOTBeaver # yeah .
    CHIBeaver .
    MOT*MOT: Beaver .
    CHIxxx .
    COUwho's Beaver # Sarah ?
  5. MOTBeaver .
    CHIxxx .
    COU*COU: who's Beaver # Sarah ?
    CHImy doggie .
    MOTUncle Ernest's doggie .

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_Brown5.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah025.chaSarah 2;8.25909555.50

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. beaver5 · 100.0%