PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

5.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (509 utterances, 2,398 words searched).

  1. CHIlook at that puppy .
    CHIlook at that puppy .
    MOT*MOT: oh yes .
    MOTwhich bit of the puppy is that ?
    MOTwhat are these ?
  2. MOTwhere does that piece go ?
    CHIlook at that one's doing on the floor .
    MOT*MOT: oh yes .
    MOTwell I think that goes there .
    MOTmaybe .
  3. MOTright .
    CHIlook .
    MOT*MOT: yes .
    MOTyou weren't popular .
    CHIthat must go there .
  4. CHIlook .
    CHIlook Anna .
    INV*INV: yes .
    CHIlook .
    CHII bite [*] it there .
  5. CHIlook .
    CHII bite [*] it there .
    INV*INV: yes .
    MOTyou did bite it there .
    MOTyou terrible boy .
  6. MOTwhere the cat's other ear ?
    CHIum a brush .
    MOT*MOT: yes .
    MOTthat's a brush but where's the cat's other ear ?
    MOTwhere's the cat's other ear ?
  7. MOThooray .
    CHIthat must go there .
    MOT*MOT: yes .
    MOTthat must go there .
    CHIxxx go there .
  8. CHIno .
    CHIthat must go there .
    MOT*MOT: yes .
    MOThooray .
    MOTso where must that go ?
  9. CHIlook at that doing on the floor .
    CHIput it in there .
    MOT*MOT: yes .
    MOTthat was underneath the er chair .
    MOTthat's why it was on the floor .
  10. MOTwhy don't you do <one of these> [//] another one of these again ?
    CHIyes .
    MOT*MOT: yes .
    CHIMummy take it off .
    MOTare you reading a story ?
  11. MOTput that back in then it's easier when we want to do it again .
    MOTwhen you want to do it again .
    MOT*MOT: yes .
    MOTthat one comes apart easily , doesn't it ?
    CHImake it again .
  12. CHIno .
    CHIhe's laughing .
    MOT*MOT: yes .
    MOThe is laughing there , isn't he ?
    CHIread a story .
  13. CHItwo smokes [*] .
    MOTtwo smokes .
    MOT*MOT: yes .
    CHItwo smokes [*] .
    CHIthere's Henry's wheels .

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. Warren eng_british_Manchester_II5.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr12a.chaWarren 2;2.052,39813135.42

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. yes13 · 100.0%