PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

5.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (355 utterances, 1,412 words searched).

  1. tell Caroline where [/] where Sukie came this morning . MOT · eng_british_Manchester_I/becky25a.cha, line 299 · Becky 2;08
  2. tell Caroline where [/] where Sukie came this morning . MOT · eng_british_Manchester_I/becky25a.cha, line 299 · Becky 2;08
  3. where did he come this morning ? MOT · eng_british_Manchester_I/becky25a.cha, line 306 · Becky 2;08
  4. where's what ? MOT · eng_british_Manchester_I/becky25a.cha, line 609 · Becky 2;08
  5. where do you want it ? MOT · eng_british_Manchester_I/becky25a.cha, line 1137 · Becky 2;08
  6. where do you want the bridge ? MOT · eng_british_Manchester_I/becky25a.cha, line 1141 · Becky 2;08
  7. where's it hurt ? MOT · eng_british_Manchester_I/becky25a.cha, line 1436 · Becky 2;08
  8. where ? MOT · eng_british_Manchester_I/becky25a.cha, line 1440 · Becky 2;08
  1. MOTbecause <he's sick> [//] he's just had his tea .
    CHIput it on there .
    MOT*MOT: tell Caroline where [/] where Sukie came this morning .
    MOTcan you remember ?
    CHIwhere [/] where's Sukie gone ?
  2. MOTcan you remember ?
    CHIwhere [/] where's Sukie gone ?
    MOT*MOT: where did he come this morning ?
    CHIum to nursery+school .
    MOThe didn't go to nursery+school .
  3. CHIoh .
    CHIwhere 0is [*] the car ?
    MOT*MOT: where's what ?
    CHIoh .
    CHIthere .
  4. MOThere ?
    CHIno no .
    MOT*MOT: where do you want it ?
    CHIhere .
    MOTwhere do you want the bridge ?
  5. MOTwhere do you want it ?
    CHIhere .
    MOT*MOT: where do you want the bridge ?
    CHIjust here .
    MOTjust here ?
  6. MOTare you okay ?
    CHIyeah .
    MOT*MOT: where's it hurt ?
    CHIjust there .
    MOTwhere ?
  7. MOTwhere's it hurt ?
    CHIjust there .
    MOT*MOT: where ?
    MOThere ?
    CHImmhm .

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_I5.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky25a.chaBecky 2;8.161,412785.67

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. where8 · 100.0%