PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

7.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (410 utterances, 1,418 words searched).

  1. thought you might like to have a go at this , Becky . MOT · eng_british_Manchester_I/becky31a.cha, line 24 · Becky 2;10
  2. I thought you might like to have a go at this . MOT · eng_british_Manchester_I/becky31a.cha, line 29 · Becky 2;10
  3. do you like dinosaurs ? MOT · eng_british_Manchester_I/becky31a.cha, line 333 · Becky 2;10
  4. do you like dinosaurs ? MOT · eng_british_Manchester_I/becky31a.cha, line 337 · Becky 2;10
  5. like that one . MOT · eng_british_Manchester_I/becky31a.cha, line 419 · Becky 2;10
  6. like that . MOT · eng_british_Manchester_I/becky31a.cha, line 427 · Becky 2;10
  7. or we could play snap now if you like . MOT · eng_british_Manchester_I/becky31a.cha, line 703 · Becky 2;10
  8. like this ? MOT · eng_british_Manchester_I/becky31a.cha, line 780 · Becky 2;10
  9. like that ? MOT · eng_british_Manchester_I/becky31a.cha, line 782 · Becky 2;10
  10. like that . MOT · eng_british_Manchester_I/becky31a.cha, line 818 · Becky 2;10
  11. and go like that . MOT · eng_british_Manchester_I/becky31a.cha, line 1016 · Becky 2;10
  1. eng_british_Manchester_I/becky31a.cha, line 24 · Becky, 2;10.25
    MOTwell .
    MOTwe'll see those a bit later .
    MOT*MOT: thought you might like to have a go at this , Becky .
    CHIwhat ?
    MOTI thought you might like to have a go at this .
  2. eng_british_Manchester_I/becky31a.cha, line 29 · Becky, 2;10.25
    MOTthought you might like to have a go at this , Becky .
    CHIwhat ?
    MOT*MOT: I thought you might like to have a go at this .
    CHIyeah .
    MOTsit yourself down .
  3. eng_british_Manchester_I/becky31a.cha, line 333 · Becky, 2;10.25
    MOTyou've done him already , haven't you ?
    CHImmhm .
    MOT*MOT: do you like dinosaurs ?
    CHIwhat ?
    MOTdo you like dinosaurs ?
  4. eng_british_Manchester_I/becky31a.cha, line 337 · Becky, 2;10.25
    MOTdo you like dinosaurs ?
    CHIwhat ?
    MOT*MOT: do you like dinosaurs ?
    CHIand can we do this one ?
    CHIwhat is this one ?
  5. eng_british_Manchester_I/becky31a.cha, line 419 · Becky, 2;10.25
    MOTyeah ?
    MOTand there's the cup .
    MOT*MOT: like that one .
    MOTyeah ?
    CHIyeah .
  6. eng_british_Manchester_I/becky31a.cha, line 427 · Becky, 2;10.25
    CHIyeah .
    MOTand there's the bottle .
    MOT*MOT: like that .
    MOTyeah ?
    MOTBecky .
  7. eng_british_Manchester_I/becky31a.cha, line 703 · Becky, 2;10.25
    CHIum what can I do now , mum ?
    MOTdo you want to do another one in here ?
    MOT*MOT: or we could play snap now if you like .
    CHIsnap .
    MOTsnap .
  8. eng_british_Manchester_I/becky31a.cha, line 780 · Becky, 2;10.25
    CHIyeah .
    MOTwhat ?
    MOT*MOT: like this ?
    MOTlike that ?
    CHIyeah .
  9. eng_british_Manchester_I/becky31a.cha, line 782 · Becky, 2;10.25
    MOTwhat ?
    MOTlike this ?
    MOT*MOT: like that ?
    CHIyeah .
    MOTand then what do I do ?
  10. eng_british_Manchester_I/becky31a.cha, line 818 · Becky, 2;10.25
    MOTturn one over ?
    CHIyeah .
    MOT*MOT: like that .
    CHIyeah .
    MOTso +...
  11. eng_british_Manchester_I/becky31a.cha, line 1016 · Becky, 2;10.25
    MOTwhat do we say when they're the same ?
    CHIsnap .
    MOT*MOT: and go like that .
    MOTgo on .
    MOTput your hand on them .

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_I7.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky31a.chaBecky 2;10.251,41811117.76

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. like11 · 100.0%