PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

4.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (541 utterances, 1,940 words searched).

  1. what were you doing before Anna came in ? MOT · eng_british_Manchester_II/ruth03b.cha, line 415 · Ruth 2;00
  2. what were you doing when you were sitting on the stairs ? MOT · eng_british_Manchester_II/ruth03b.cha, line 422 · Ruth 2;00
  3. what were you doing when you were sitting on the stairs ? MOT · eng_british_Manchester_II/ruth03b.cha, line 422 · Ruth 2;00
  4. were you giving your baby some booby ? MOT · eng_british_Manchester_II/ruth03b.cha, line 457 · Ruth 2;00
  5. were you ? MOT · eng_british_Manchester_II/ruth03b.cha, line 460 · Ruth 2;00
  6. <were you> [//] before Anna came in Ruth . MOT · eng_british_Manchester_II/ruth03b.cha, line 468 · Ruth 2;00
  7. were you giving your baby some booby ? MOT · eng_british_Manchester_II/ruth03b.cha, line 472 · Ruth 2;00
  8. were you ? MOT · eng_british_Manchester_II/ruth03b.cha, line 475 · Ruth 2;00
  1. MOTthat's right .
    CHIMama hot [x 2] .
    MOT*MOT: what were you doing before Anna came in ?
    MOTcan you remember ?
    CHImmhm .
  2. MOTcan you remember ?
    CHImmhm .
    MOT*MOT: what were you doing when you were sitting on the stairs ?
    CHIMummy hot [x 2] .
    MOTMummy's not hot .
  3. MOTMummy's not hot .
    MOTlisten .
    MOT*MOT: were you giving your baby some booby ?
    MOTwere you ?
    CHIMummy .
  4. MOTlisten .
    MOTwere you giving your baby some booby ?
    MOT*MOT: were you ?
    CHIMummy .
    MOThey ?
  5. MOThey ?
    MOTRuth .
    MOT*MOT: <were you> [//] before Anna came in Ruth .
    MOTlisten .
    MOTwere you giving your baby some booby ?
  6. MOT<were you> [//] before Anna came in Ruth .
    MOTlisten .
    MOT*MOT: were you giving your baby some booby ?
    MOTwere you ?
    MOTwas she having some booby , was she ?
  7. MOTlisten .
    MOTwere you giving your baby some booby ?
    MOT*MOT: were you ?
    MOTwas she having some booby , was she ?
    MOTwas she ?

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_II4.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth03b.chaRuth 2;0.051,940784.12

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. were8 · 100.0%