PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (486 utterances, 1,801 words searched).

  1. can you get it open ? MOT · eng_british_Manchester_II/ruth10b.cha, line 339 · Ruth 2;02
  2. how do you get her eyes to open ? MOT · eng_british_Manchester_II/ruth10b.cha, line 504 · Ruth 2;02
  3. it's open . MOT · eng_british_Manchester_II/ruth10b.cha, line 1131 · Ruth 2;02
  4. do you want Mummy to open ? MOT · eng_british_Manchester_II/ruth10b.cha, line 1611 · Ruth 2;02
  5. say Mummy open . MOT · eng_british_Manchester_II/ruth10b.cha, line 1613 · Ruth 2;02
  6. open . MOT · eng_british_Manchester_II/ruth10b.cha, line 1615 · Ruth 2;02
  7. open . MOT · eng_british_Manchester_II/ruth10b.cha, line 1617 · Ruth 2;02
  1. eng_british_Manchester_II/ruth10b.cha, line 339 · Ruth, 2;2.14
    MOTwho's in the box ?
    CHIbaba .
    MOT*MOT: can you get it open ?
    CHIno .
    MOToh: .
  2. eng_british_Manchester_II/ruth10b.cha, line 504 · Ruth, 2;2.14
    MOTwere her eyes closed ?
    CHImmhm .
    MOT*MOT: how do you get her eyes to open ?
    CHIeye closed [= actually said close] .
    CHIthere .
  3. eng_british_Manchester_II/ruth10b.cha, line 1131 · Ruth, 2;2.14
    CHIon there , Mama .
    MOTmmhm .
    MOT*MOT: it's open .
    CHIon there .
    MOTdid you put them in the washing machine ?
  4. eng_british_Manchester_II/ruth10b.cha, line 1611 · Ruth, 2;2.14
    CHImmhm .
    MOThmm ?
    MOT*MOT: do you want Mummy to open ?
    MOTsay Mummy open .
    MOTopen .
  5. eng_british_Manchester_II/ruth10b.cha, line 1613 · Ruth, 2;2.14
    MOThmm ?
    MOTdo you want Mummy to open ?
    MOT*MOT: say Mummy open .
    MOTopen .
    MOTopen .
  6. eng_british_Manchester_II/ruth10b.cha, line 1615 · Ruth, 2;2.14
    MOTdo you want Mummy to open ?
    MOTsay Mummy open .
    MOT*MOT: open .
    MOTopen .
    INVno thank you .
  7. eng_british_Manchester_II/ruth10b.cha, line 1617 · Ruth, 2;2.14
    MOTsay Mummy open .
    MOTopen .
    MOT*MOT: open .
    INVno thank you .
    MOTAnna doesn't want it .

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. Ruth eng_british_Manchester_II3.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth10b.chaRuth 2;2.141,801773.89

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. open7 · 100.0%