PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

10.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (82 utterances, 283 words searched).

  1. you want some seven_up ! MOT · eng_USA_Bates/tom28.cha, line 209 · Tom 2;04
  2. drink some seven_up . MOT · eng_USA_Bates/tom28.cha, line 257 · Tom 2;04
  3. have some seven_up ! MOT · eng_USA_Bates/tom28.cha, line 270 · Tom 2;04
  1. eng_USA_Bates/tom28.cha, line 209 · Tom, 2;4.
    MOTyou want to take a nap ?
    CHIno # seven_up .
    MOT*MOT: you want some seven_up !
    CHImmhm .
    MOTok sir # we'll see what we can do for you .
  2. eng_USA_Bates/tom28.cha, line 257 · Tom, 2;4.
    MOTsst@o # some for you .
    MOTsst@o # some for me .
    MOT*MOT: drink some seven_up .
    MOTgulp_gulp_gulp_gulp@o .
    CHIready eat .
  3. eng_USA_Bates/tom28.cha, line 270 · Tom, 2;4.
    CHIready eat .
    MOTgulp_gulp_gulp_gulp@o .
    MOT*MOT: have some seven_up !
    MOTgulp_gulp_gulp_gulp@o .
    CHIcome eat .

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. Tom eng_USA_Bates10.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/tom28.chaTom 2;4.2833310.60

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. seven_up3 · 100.0%