PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (429 utterances, 1,532 words searched).

  1. the beef+burger . MOT · eng_british_Manchester_II/nic10b.cha, line 266 · Nicole 2;04
  2. xxx beef+burger . MOT · eng_british_Manchester_II/nic10b.cha, line 399 · Nicole 2;04
  3. beef burgers . MOT · eng_british_Manchester_II/nic10b.cha, line 405 · Nicole 2;04
  4. beans and beef burgers . MOT · eng_british_Manchester_II/nic10b.cha, line 407 · Nicole 2;04
  5. do you like beef burgers . MOT · eng_british_Manchester_II/nic10b.cha, line 409 · Nicole 2;04
  6. beef tomatos . MOT · eng_british_Manchester_II/nic10b.cha, line 470 · Nicole 2;04
  1. eng_british_Manchester_II/nic10b.cha, line 266 · Nicole, 2;4.
    MOTa xxx lemon .
    MOTstill got the old favorite .
    MOT*MOT: the beef+burger .
    MOTare you going to put your cheese +//.
    MOTgoing to put your lettuce on ?
  2. eng_british_Manchester_II/nic10b.cha, line 399 · Nicole, 2;4.
    MOTyeah .
    CHIxxx .
    MOT*MOT: xxx beef+burger .
    MOTwhat's that ?
    CHIbeef+burger .
  3. eng_british_Manchester_II/nic10b.cha, line 405 · Nicole, 2;4.
    MOTwhat's that ?
    CHIbeef+burger .
    MOT*MOT: beef burgers .
    MOTbeans and beef burgers .
    MOTdo you like beef burgers .
  4. eng_british_Manchester_II/nic10b.cha, line 407 · Nicole, 2;4.
    CHIbeef+burger .
    MOTbeef burgers .
    MOT*MOT: beans and beef burgers .
    MOTdo you like beef burgers .
    MOTno .
  5. eng_british_Manchester_II/nic10b.cha, line 409 · Nicole, 2;4.
    MOTbeef burgers .
    MOTbeans and beef burgers .
    MOT*MOT: do you like beef burgers .
    MOTno .
    MOTyou didn't .
  6. eng_british_Manchester_II/nic10b.cha, line 470 · Nicole, 2;4.
    MOTit is .
    MOTit's celery .
    MOT*MOT: beef tomatos .
    CHIMummy do it .
    MOTput it there .

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. Nicole eng_british_Manchester_II3.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic10b.chaNicole 2;4.1,532663.92

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. beef6 · 100.0%