PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (617 utterances, 2,276 words searched).

  1. oh dear . MOT · eng_british_Manchester_I/anne26a.cha, line 246 · Anne 2;07
  2. oh dear . MOT · eng_british_Manchester_I/anne26a.cha, line 329 · Anne 2;07
  3. oh dear . MOT · eng_british_Manchester_I/anne26a.cha, line 1573 · Anne 2;07
  4. oh dear . MOT · eng_british_Manchester_I/anne26a.cha, line 1612 · Anne 2;07
  5. oh dear . MOT · eng_british_Manchester_I/anne26a.cha, line 1701 · Anne 2;07
  6. oh dear . MOT · eng_british_Manchester_I/anne26a.cha, line 1756 · Anne 2;07
  7. oh dear . MOT · eng_british_Manchester_I/anne26a.cha, line 1758 · Anne 2;07
  8. oh dear . MOT · eng_british_Manchester_I/anne26a.cha, line 1974 · Anne 2;07
  9. oh dear . MOT · eng_british_Manchester_I/anne26a.cha, line 1999 · Anne 2;07
  1. MOTI thought you just told me you wanted it under here .
    CHIoh dear .
    MOT*MOT: oh dear .
    MOTmake your mind up time .
    CHIoh .
  2. CHIthat's very fast .
    CHIbeep@o .
    MOT*MOT: oh dear .
    MOTthere's railway on the road .
    MOToh .
  3. MOTare you alright , baby ?
    CHIno .
    MOT*MOT: oh dear .
    MOTdid baby fall over ?
    CHIyeah .
  4. MOToh .
    MOThas he grazed his [/] his back legs as well ?
    MOT*MOT: oh dear .
    CHIcan [//] he can better .
    MOToh .
  5. MOTyou did and the baby did ?
    CHIyeah .
    MOT*MOT: oh dear .
    CHIoh .
    CHIxxx .
  6. MOTyeah .
    CHIoh .
    MOT*MOT: oh dear .
    MOToh dear .
    MOTare you taking the other sock off or are you just leaving one on ?
  7. CHIoh .
    MOToh dear .
    MOT*MOT: oh dear .
    MOTare you taking the other sock off or are you just leaving one on ?
    CHIno .
  8. MOTI think you've fallen over on purpose .
    CHII fell over again .
    MOT*MOT: oh dear .
    MOTjump up .
    CHIoh .
  9. CHIhurt my toe .
    MOTyou've hurt your toe ?
    MOT*MOT: oh dear .
    MOTdoes it need a kiss better ?
    MOTwho do we need to kiss it better ?

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. Anne eng_british_Manchester_I3.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne26a.chaAnne 2;7.012,276993.95

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%