PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

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

  1. where were the ducks ? MOT · eng_british_Manchester_I/becky24a.cha, line 147 · Becky 2;08
  2. where ? MOT · eng_british_Manchester_I/becky24a.cha, line 709 · Becky 2;08
  3. where ? MOT · eng_british_Manchester_I/becky24a.cha, line 721 · Becky 2;08
  4. where ? MOT · eng_british_Manchester_I/becky24a.cha, line 749 · Becky 2;08
  5. that's where I'm kissing you . MOT · eng_british_Manchester_I/becky24a.cha, line 759 · Becky 2;08
  6. where's what ? MOT · eng_british_Manchester_I/becky24a.cha, line 878 · Becky 2;08
  7. I don't know where it's been . MOT · eng_british_Manchester_I/becky24a.cha, line 1322 · Becky 2;08
  8. where shall I put the ears ? MOT · eng_british_Manchester_I/becky24a.cha, line 1599 · Becky 2;08
  9. where's your head ? MOT · eng_british_Manchester_I/becky24a.cha, line 1681 · Becky 2;08
  10. put you back where ? MOT · eng_british_Manchester_I/becky24a.cha, line 1701 · Becky 2;08
  1. MOTdid we ?
    CHIyeah .
    MOT*MOT: where were the ducks ?
    CHIthey was [*] in the pond .
    MOTwere they ?
  2. MOTlet me look .
    MOTcome here .
    MOT*MOT: where ?
    CHIthere .
    MOTon your mouth ?
  3. CHInot on my mouth .
    MOTwell .
    MOT*MOT: where ?
    CHIthere .
    MOTwell .
  4. MOTshall I kiss it better ?
    CHInot there .
    MOT*MOT: where ?
    CHIthere .
    CHInot there .
  5. CHIthere .
    MOTBecky .
    MOT*MOT: that's where I'm kissing you .
    MOTis that better ?
    CHIyeah .
  6. CHIyes .
    CHIwhere's Caroline xxx .
    MOT*MOT: where's what ?
    CHIwhere's Caroline +...
    CHICaroline toys .
  7. MOTno .
    CHIbecause why ?
    MOT*MOT: I don't know where it's been .
    MOTBecky .
    MOTno .
  8. MOTlike that ?
    MOTand I draw +//.
    MOT*MOT: where shall I put the ears ?
    MOThere ?
    CHIyeah .
  9. MOTBecky ?
    CHIyeah .
    MOT*MOT: where's your head ?
    CHIhere .
    MOTwhat're you doing ?
  10. MOTput you back ?
    CHIyeah .
    MOT*MOT: put you back where ?
    CHIum on the table .
    MOToh the table ?

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_I6.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky24a.chaBecky 2;8.021,66510106.01

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. where10 · 100.0%