PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

6.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (99 utterances, 474 words searched).

  1. she'll be back in a little bit . MOT · eng_USA_Bates/george28.cha, line 26 · George 2;04
  2. won't that be hot ? MOT · eng_USA_Bates/george28.cha, line 127 · George 2;04
  3. let's make that be Tammy . MOT · eng_USA_Bates/george28.cha, line 240 · George 2;04
  1. eng_USA_Bates/george28.cha, line 26 · George, 2;4.
    MOTshe had to go do something .
    CHIwhere she ?
    MOT*MOT: she'll be back in a little bit .
    CHIwhere she yyy go ?
    MOTI don't know where she's gon (t)a go .
  2. eng_USA_Bates/george28.cha, line 127 · George, 2;4.
    MOTnext to the barbecue ?
    CHIyeah .
    MOT*MOT: won't that be hot ?
    MOTthat's hot .
    CHIDaddy has a barbecue .
  3. eng_USA_Bates/george28.cha, line 240 · George, 2;4.
    CHIthat's a doggie .
    MOTshould we make that +...
    MOT*MOT: let's make that be Tammy .
    MOTok ?
    MOTwhere's Tammy always at ?

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. George eng_USA_Bates6.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/george28.chaGeorge 2;4.474336.33

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. be3 · 100.0%