PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (487 utterances, 1,665 words searched).

  1. pardon ? MOT · eng_british_Manchester_I/becky24a.cha, line 90 · Becky 2;08
  2. pardon ? MOT · eng_british_Manchester_I/becky24a.cha, line 899 · Becky 2;08
  3. pardon ? MOT · eng_british_Manchester_I/becky24a.cha, line 1283 · Becky 2;08
  4. pardon ? MOT · eng_british_Manchester_I/becky24a.cha, line 1523 · Becky 2;08
  5. pardon ? MOT · eng_british_Manchester_I/becky24a.cha, line 1779 · Becky 2;08
  6. pardon ? MOT · eng_british_Manchester_I/becky24a.cha, line 1873 · Becky 2;08
  1. MOTwhat else did we see ?
    CHIum elephant .
    MOT*MOT: pardon ?
    CHIan elephant .
    MOTno .
  2. MOTis that nice ?
    CHIxxx .
    MOT*MOT: pardon ?
    INVdo you want me to put the train away ?
    CHIyeah .
  3. MOTgive it back .
    CHIbit louder .
    MOT*MOT: pardon ?
    CHIgive it back .
    CHIbit louder .
  4. MOTwhoops .
    CHIwhat shall we do now ?
    MOT*MOT: pardon ?
    CHIwhat shall we do now ?
    MOTI don't know .
  5. MOTI could just do with a nice cup of tea actually .
    CHIare you alright ?
    MOT*MOT: pardon ?
    CHIare you alright ?
    CHII'm alright with a nice cup of tea .
  6. CHInow eat your toast .
    CHInice and near .
    MOT*MOT: pardon ?
    CHIyou [/] you are near .
    MOTnear ?

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. Becky eng_british_Manchester_I3.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky24a.chaBecky 2;8.021,665663.60

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. pardon6 · 100.0%