PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (316 utterances, 1,274 words searched).

  1. Sarah # give that to Kent . MOT · eng_USA_Brown/sarah072.cha, line 17 · Sarah 3;08
  2. give it to Kent # honey . MOT · eng_USA_Brown/sarah072.cha, line 21 · Sarah 3;08
  3. Sarah # spell egg # for Kent . MOT · eng_USA_Brown/sarah072.cha, line 110 · Sarah 3;08
  4. xxx Professor will Kent . MOT · eng_USA_Brown/sarah072.cha, line 215 · Sarah 3;08
  5. Professor_Brown will kill Kent if you write on it . MOT · eng_USA_Brown/sarah072.cha, line 222 · Sarah 3;08
  1. CHIten ninety five ?
    CHIwhat's that for ?
    MOT*MOT: Sarah # give that to Kent .
    MOTno # no .
    MOTgive it to Kent # honey .
  2. MOTSarah # give that to Kent .
    MOTno # no .
    MOT*MOT: give it to Kent # honey .
    MOT(be)cause you'll lose it .
    MOTthat goes on the tape recorder .
  3. CHInow +...
    CHIright here .
    MOT*MOT: Sarah # spell egg # for Kent .
    MOTegg .
    CHII know it .
  4. MOTdon't break the box .
    CHII tryin(g) to open it .
    MOT*MOT: xxx Professor will Kent .
    KENhmm .
    CHIhuh ?
  5. KENhmm .
    CHIhuh ?
    MOT*MOT: Professor_Brown will kill Kent if you write on it .
    CHIno he won't .
    MOToh no .

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_Brown3.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah072.chaSarah 3;8.061,274553.92

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. kent5 · 100.0%