PHPCLANCHILDES with regular expressions

15 matches in 13 utterances

8.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 1,682 words searched).

  1. shall we have a look ? MOT · eng_british_Manchester_II/joel10b.cha, line 59 · Joel 2;02
  2. what else did we find ? MOT · eng_british_Manchester_II/joel10b.cha, line 226 · Joel 2;02
  3. we found some celery . MOT · eng_british_Manchester_II/joel10b.cha, line 228 · Joel 2;02
  4. where did we find that ? MOT · eng_british_Manchester_II/joel10b.cha, line 230 · Joel 2;02
  5. we haven't got it all out , have we ? MOT · eng_british_Manchester_II/joel10b.cha, line 297 · Joel 2;02
  6. we haven't got it all out , have we ? MOT · eng_british_Manchester_II/joel10b.cha, line 297 · Joel 2;02
  7. we've got lots more toys to look at . MOT · eng_british_Manchester_II/joel10b.cha, line 434 · Joel 2;02
  8. what else have we got in here ? MOT · eng_british_Manchester_II/joel10b.cha, line 439 · Joel 2;02
  9. that's where we went . MOT · eng_british_Manchester_II/joel10b.cha, line 487 · Joel 2;02
  10. what sort of animals can we have ? MOT · eng_british_Manchester_II/joel10b.cha, line 523 · Joel 2;02
  11. the nearest thing we've got to a dummy . MOT · eng_british_Manchester_II/joel10b.cha, line 962 · Joel 2;02
  12. we didn't know it did that , did we ? MOT · eng_british_Manchester_II/joel10b.cha, line 1207 · Joel 2;02
  13. we didn't know it did that , did we ? MOT · eng_british_Manchester_II/joel10b.cha, line 1207 · Joel 2;02
  14. if you'd got a horse we could have the horse jumping over those , couldn't you ? MOT · eng_british_Manchester_II/joel10b.cha, line 1311 · Joel 2;02
  15. what else have we got ? MOT · eng_british_Manchester_II/joel10b.cha, line 1338 · Joel 2;02
  1. CHIxxx .
    MOTwhat else is there ?
    MOT*MOT: shall we have a look ?
    MOTwhat's that ?
    CHIoh .
  2. MOTwhere's the other bit ?
    MOTthere it is .
    MOT*MOT: what else did we find ?
    MOTwe found some celery .
    MOTwhere did we find that ?
  3. MOTthere it is .
    MOTwhat else did we find ?
    MOT*MOT: we found some celery .
    MOTwhere did we find that ?
    CHIseven .
  4. MOTwhat else did we find ?
    MOTwe found some celery .
    MOT*MOT: where did we find that ?
    CHIseven .
    MOTseven ?
  5. MOTdoes he like beef+burger ?
    MOTwhat else is in there ?
    MOT*MOT: we haven't got it all out , have we ?
    MOTthere's some more food in there .
    CHIokay , lettuce .
  6. MOTaah .
    MOTwell .
    MOT*MOT: we've got lots more toys to look at .
    MOTyou haven't got them out , have you ?
    MOTwhat else have we got in here ?
  7. MOTwe've got lots more toys to look at .
    MOTyou haven't got them out , have you ?
    MOT*MOT: what else have we got in here ?
    MOTmore food in there .
    MOTwhat's in here ?
  8. MOTdo you know what that word says ?
    MOTzoo .
    MOT*MOT: that's where we went .
    CHIin the car .
    MOTmmhm .
  9. MOTI don't think it's big enough , is it ?
    MOTwho's he going to see at the zoo ?
    MOT*MOT: what sort of animals can we have ?
    CHIa Tuesday today .
    MOTaye ?
  10. MOTI don't think she needs a dummy , does she ?
    MOTwho do you know who's got a dummy ?
    MOT*MOT: the nearest thing we've got to a dummy .
    MOTyou might have to give her a pineapple .
    CHIMummy .
  11. MOTthat's not nice .
    MOTyou wouldn't like it if somebody bashed you , would you ?
    MOT*MOT: we didn't know it did that , did we ?
    MOThe's going roar@o .
    CHIgo back to panda .
  12. CHIMummy do it .
    MOTI think you have to stick them on this green thing .
    MOT*MOT: if you'd got a horse we could have the horse jumping over those , couldn't you ?
    MOTno .
    MOTwhat are you doing there ?
  13. MOTdid that one fall down ?
    MOTaah .
    MOT*MOT: what else have we got ?
    MOTis he like the monkey at the zoo ?
    MOThe was swinging all over the place , wasn't he ?

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. Joel eng_british_Manchester_II8.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel10b.chaJoel 2;2.071,68213158.92

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. we15 · 100.0%