PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. see any of the horses # Uncle George took ya any horses ? MOT · eng_USA_Brown/sarah072.cha, line 548 · Sarah 3;08
  2. did ya see Uncle Kenny ? MOT · eng_USA_Brown/sarah072.cha, line 1323 · Sarah 3;08
  3. do you know who Uncle Kenny is ? MOT · eng_USA_Brown/sarah072.cha, line 1327 · Sarah 3;08
  4. you remember Uncle Kenny ? MOT · eng_USA_Brown/sarah072.cha, line 1331 · Sarah 3;08
  1. eng_USA_Brown/sarah072.cha, line 548 · Sarah, 3;8.06
    MOToh yes I always remember .
    MOThey did you go up and see any horses while you were on [//] # at the Hudson ?
    MOT*MOT: see any of the horses # Uncle George took ya any horses ?
    MOThmm ?
    CHIno .
  2. eng_USA_Brown/sarah072.cha, line 1323 · Sarah, 3;8.06
    CHI0 .
    MOToh yeah ?
    MOT*MOT: did ya see Uncle Kenny ?
    CHInope .
    MOTdo you know who Uncle Kenny is ?
  3. eng_USA_Brown/sarah072.cha, line 1327 · Sarah, 3;8.06
    MOTdid ya see Uncle Kenny ?
    CHInope .
    MOT*MOT: do you know who Uncle Kenny is ?
    CHIwho ?
    MOTyou remember Uncle Kenny ?
  4. eng_USA_Brown/sarah072.cha, line 1331 · Sarah, 3;8.06
    MOTdo you know who Uncle Kenny is ?
    CHIwho ?
    MOT*MOT: you remember Uncle Kenny ?

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_Brown3.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah072.chaSarah 3;8.061,274443.14

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. uncle4 · 100.0%