PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.30 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. he won't bite me # honey . MOT · eng_USA_Brown/sarah025.cha, line 451 · Sarah 2;08
  3. he didn't bite you yet # but he will bite you # honey . MOT · eng_USA_Brown/sarah025.cha, line 475 · Sarah 2;08
  1. eng_USA_Brown/sarah025.cha, line 227 · Sarah, 2;8.25
    MOTgo on # want to change the fish's water ?
    CHIyes .
    MOT*MOT: there's Beaver # honey .
    CHIwhere ?
    MOTup there .
  2. eng_USA_Brown/sarah025.cha, line 451 · Sarah, 2;8.25
    MOThe won't bite me .
    CHIbite you .
    MOT*MOT: he won't bite me # honey .
    CHIxxx .
    CHIxxx # Mummy .
  3. eng_USA_Brown/sarah025.cha, line 475 · Sarah, 2;8.25
    CHIbite me yet .
    CHIhe bite me yet .
    MOT*MOT: he didn't bite you yet # but he will bite you # honey .
    CHIxxx .
    MOTno [/] # no # don't punch him .

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_Brown3.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah025.chaSarah 2;8.25909333.30

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. honey3 · 100.0%