PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (643 utterances, 2,351 words searched).

  1. oh dear . MOT · eng_british_Manchester_II/ruth19a.cha, line 45 · Ruth 2;05
  2. oh dear . MOT · eng_british_Manchester_II/ruth19a.cha, line 47 · Ruth 2;05
  3. oh dear . MOT · eng_british_Manchester_II/ruth19a.cha, line 197 · Ruth 2;05
  4. oh dear . MOT · eng_british_Manchester_II/ruth19a.cha, line 203 · Ruth 2;05
  5. oh dear . MOT · eng_british_Manchester_II/ruth19a.cha, line 205 · Ruth 2;05
  6. oh dear . MOT · eng_british_Manchester_II/ruth19a.cha, line 1324 · Ruth 2;05
  7. oh dear . MOT · eng_british_Manchester_II/ruth19a.cha, line 1433 · Ruth 2;05
  8. oh dear . MOT · eng_british_Manchester_II/ruth19a.cha, line 1638 · Ruth 2;05
  9. oh dear . MOT · eng_british_Manchester_II/ruth19a.cha, line 1676 · Ruth 2;05
  1. MOTwas it you ?
    MOTis that body+wind ?
    MOT*MOT: oh dear .
    MOToh dear .
    MOTthat's a bit rude that .
  2. MOTis that body+wind ?
    MOToh dear .
    MOT*MOT: oh dear .
    MOTthat's a bit rude that .
    CHIno .
  3. MOTthat's a big bump on Mummy's head .
    MOT<was it a> [/] was it a bump on your head too ?
    MOT*MOT: oh dear .
    MOTnever mind .
    CHIMummy .
  4. MOTnever mind .
    CHIMummy .
    MOT*MOT: oh dear .
    MOToh dear .
    MOTright .
  5. CHIMummy .
    MOToh dear .
    MOT*MOT: oh dear .
    MOTright .
    MOTwhat shall we read ?
  6. INVyou certainly are .
    MOTAnna's chair .
    MOT*MOT: oh dear .
    MOTRuth .
    MOTwho's this ?
  7. CHIdoor .
    MOTon the door .
    MOT*MOT: oh dear .
    MOTdid it hurt ?
    CHIno .
  8. CHIme [*] bit the bear .
    MOTyou bit the bear ?
    MOT*MOT: oh dear .
    MOTwhere did you bite the bear ?
    CHImmhm .
  9. MOThe did cry .
    CHImmhm .
    MOT*MOT: oh dear .
    CHIrun away .
    MOTright .

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_II3.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth19a.chaRuth 2;5.202,351993.83

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. dear9 · 100.0%