PHPCLANCHILDES with regular expressions

29 matches in 28 utterances

14.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (430 utterances, 2,030 words searched).

  1. how many eggs are there ? MOT · eng_british_Manchester_II/warr34b.cha, line 65 · Warren 2;09
  2. are there ? MOT · eng_british_Manchester_II/warr34b.cha, line 69 · Warren 2;09
  3. can you remember how many there were ? MOT · eng_british_Manchester_II/warr34b.cha, line 81 · Warren 2;09
  4. there were this many . MOT · eng_british_Manchester_II/warr34b.cha, line 88 · Warren 2;09
  5. because Mummy won't [: willn't] vacuum in there , will she ? MOT · eng_british_Manchester_II/warr34b.cha, line 133 · Warren 2;09
  6. there aren't any artichokes actually . MOT · eng_british_Manchester_II/warr34b.cha, line 300 · Warren 2;09
  7. just sign your name there please . MOT · eng_british_Manchester_II/warr34b.cha, line 406 · Warren 2;09
  8. there's your receipt and your card sir . MOT · eng_british_Manchester_II/warr34b.cha, line 412 · Warren 2;09
  9. there's your shopping . MOT · eng_british_Manchester_II/warr34b.cha, line 415 · Warren 2;09
  10. is there ? MOT · eng_british_Manchester_II/warr34b.cha, line 528 · Warren 2;09
  11. what do you think's in there ? MOT · eng_british_Manchester_II/warr34b.cha, line 539 · Warren 2;09
  12. maybe if there's time . MOT · eng_british_Manchester_II/warr34b.cha, line 590 · Warren 2;09
  13. well I don't know if there is time . MOT · eng_british_Manchester_II/warr34b.cha, line 596 · Warren 2;09
  14. thread that arm through there . MOT · eng_british_Manchester_II/warr34b.cha, line 646 · Warren 2;09
  15. there we go . MOT · eng_british_Manchester_II/warr34b.cha, line 650 · Warren 2;09
  16. and thread that arm through there . MOT · eng_british_Manchester_II/warr34b.cha, line 652 · Warren 2;09
  17. if you leave that one down there and that on top . MOT · eng_british_Manchester_II/warr34b.cha, line 666 · Warren 2;09
  18. there we go . MOT · eng_british_Manchester_II/warr34b.cha, line 669 · Warren 2;09
  19. there's a problem with that man driving like that , Warren . MOT · eng_british_Manchester_II/warr34b.cha, line 763 · Warren 2;09
  20. there's one leg hole . MOT · eng_british_Manchester_II/warr34b.cha, line 792 · Warren 2;09
  21. there we go . MOT · eng_british_Manchester_II/warr34b.cha, line 813 · Warren 2;09
  22. there should be some more men , shouldn't there in here somewhere . MOT · eng_british_Manchester_II/warr34b.cha, line 873 · Warren 2;09
  23. there should be some more men , shouldn't there in here somewhere . MOT · eng_british_Manchester_II/warr34b.cha, line 873 · Warren 2;09
  24. there . MOT · eng_british_Manchester_II/warr34b.cha, line 913 · Warren 2;09
  25. they fit on nicely there , don't they those three people ? MOT · eng_british_Manchester_II/warr34b.cha, line 915 · Warren 2;09
  26. there's that dress here . MOT · eng_british_Manchester_II/warr34b.cha, line 952 · Warren 2;09
  27. and there's something else we need as well . MOT · eng_british_Manchester_II/warr34b.cha, line 1108 · Warren 2;09
  28. although there aren't many squirrels here . MOT · eng_british_Manchester_II/warr34b.cha, line 1126 · Warren 2;09
  29. there we go . MOT · eng_british_Manchester_II/warr34b.cha, line 1489 · Warren 2;09
  1. MOTyou carried the box through .
    MOTand shortened my life .
    MOT*MOT: how many eggs are there ?
    CHIfour .
    MOTare there ?
  2. MOThow many eggs are there ?
    CHIfour .
    MOT*MOT: are there ?
    CHItwo .
    CHIhere's another +/.
  3. MOTcan you remember how many eggs went in the little cakes this morning ?
    MOTwe counted them .
    MOT*MOT: can you remember how many there were ?
    CHIone two three .
    MOTno .
  4. CHIone two three .
    MOTno .
    MOT*MOT: there were this many .
    CHIthese .
    MOThow many (i)s that many ?
  5. CHIDaddy's study .
    MOTthat's right .
    MOT*MOT: because Mummy won't [: willn't] vacuum in there , will she ?
    MOTand Mummy won't [: willn't] dust .
    MOTbecause it's Daddy's study .
  6. CHIyeah .
    MOTartichokes ?
    MOT*MOT: there aren't any artichokes actually .
    CHIthese are some here .
    MOTsome what ?
  7. CHIyeah .
    MOTright .
    MOT*MOT: just sign your name there please .
    CHIthere .
    MOTthank you .
  8. CHIthere .
    MOTthank you .
    MOT*MOT: there's your receipt and your card sir .
    MOTthere's your shopping .
    CHIthank you .
  9. MOTthank you .
    MOTthere's your receipt and your card sir .
    MOT*MOT: there's your shopping .
    CHIthank you .
    MOTit's a pleasure .
  10. MOTWarren .
    CHIit's some more shopping .
    MOT*MOT: is there ?
    CHIyeah .
    MOToh yes .
  11. MOTall these items left in the shop that need to be bought .
    CHIwhat's in there ?
    MOT*MOT: what do you think's in there ?
    MOTlook at the picture .
    MOTlook at the picture .
  12. MOTbut our tins don't look like this .
    CHIafter my shopping I maybe play with those .
    MOT*MOT: maybe if there's time .
    CHIis there time ?
    CHIis there time ?
  13. CHIis there time ?
    CHIis there time ?
    MOT*MOT: well I don't know if there is time .
    CHIis time .
    MOTwell if you put all the shopping in the basket then we can get these out .
  14. MOTjust undo the back .
    MOTnow we need to thread the arms , don't we ?
    MOT*MOT: thread that arm through there .
    CHIyeah .
    MOTthere we go .
  15. MOTthread that arm through there .
    CHIyeah .
    MOT*MOT: there we go .
    MOTand thread that arm through there .
    MOTright .
  16. CHIyeah .
    MOTthere we go .
    MOT*MOT: and thread that arm through there .
    MOTright .
    MOTif I lift her hair up can you fasten it at the back , Warren ?
  17. MOTput those sticky bits together .
    MOTput that one on top of that one .
    MOT*MOT: if you leave that one down there and that on top .
    MOTthere we go .
    MOTis that better ?
  18. MOTput that one on top of that one .
    MOTif you leave that one down there and that on top .
    MOT*MOT: there we go .
    MOTis that better ?
    MOTthank you Warren .
  19. CHII know what can fit .
    CHIif you just squeeze them .
    MOT*MOT: there's a problem with that man driving like that , Warren .
    MOThe can't see where he's going .
    CHII know .
  20. MOTI see you're about as accurate putting her pants on as you are putting your own on .
    MOTright .
    MOT*MOT: there's one leg hole .
    MOTright .
    MOTthread the other leg through the other hole .
  21. MOTxxx .
    MOTis that better now she's got her pants on ?
    MOT*MOT: there we go .
    MOThave you found that panda yet ?
    CHIno , not .
  22. MOTI don't know .
    MOTtwo men in a train .
    MOT*MOT: there should be some more men , shouldn't there in here somewhere .
    MOToh look .
    MOThere's a tiger like yours as well .
  23. CHItwo men going on that bit of the train .
    CHIthat train's moving .
    MOT*MOT: there .
    MOTthey fit on nicely there , don't they those three people ?
    CHIthey 0are [*] all going now on the train .
  24. CHIthat train's moving .
    MOTthere .
    MOT*MOT: they fit on nicely there , don't they those three people ?
    CHIthey 0are [*] all going now on the train .
    CHIchoo^choo@o .
  25. MOTwhat's somewhere ?
    CHIthat doll's dress is somewhere .
    MOT*MOT: there's that dress here .
    MOTit's got a little fancy collar and lace .
    MOTis that what you're looking for ?
  26. CHIwe have to buy some more nuts .
    MOTto buy some nuts .
    MOT*MOT: and there's something else we need as well .
    MOTI can't remember what it is .
    MOTsomething else exciting like bird nuts .
  27. MOTmade of metal and wood .
    MOTit'll last longer than those little bags .
    MOT*MOT: although there aren't many squirrels here .
    MOTI've not seen any squirrels .
    MOTwe had to have a strong bird+feeder <at home , didn't> [//] at our last house , didn't we ?
  28. MOTright .
    MOTI'm coupled on .
    MOT*MOT: there we go .
    MOTwe're out of the mud .
    MOTwe're uncoupled now .

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_II14.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr34b.chaWarren 2;9.202,030282914.29

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. there29 · 100.0%