PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

10.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (398 utterances, 1,534 words searched).

  1. oh well we'll be able to put something in there , won't [: willn't] we ? MOT · eng_british_Manchester_II/liz02b.cha, line 49 · Liz 1;11
  2. are you gonna [: going to] put his legs in there ? MOT · eng_british_Manchester_II/liz02b.cha, line 204 · Liz 1;11
  3. are you going to find his feet in there ? MOT · eng_british_Manchester_II/liz02b.cha, line 237 · Liz 1;11
  4. can you find his hand in there now ? MOT · eng_british_Manchester_II/liz02b.cha, line 257 · Liz 1;11
  5. it's got a stitch in there . MOT · eng_british_Manchester_II/liz02b.cha, line 457 · Liz 1;11
  6. and there's a little mouse in the wardrobe . MOT · eng_british_Manchester_II/liz02b.cha, line 544 · Liz 1;11
  7. what's in the fridge ? MOT · eng_british_Manchester_II/liz02b.cha, line 549 · Liz 1;11
  8. a car with two people in it . MOT · eng_british_Manchester_II/liz02b.cha, line 672 · Liz 1;11
  9. oh a birdie in the tree . MOT · eng_british_Manchester_II/liz02b.cha, line 724 · Liz 1;11
  10. we find all those in the park , don't we ? MOT · eng_british_Manchester_II/liz02b.cha, line 780 · Liz 1;11
  11. with people in yeah . MOT · eng_british_Manchester_II/liz02b.cha, line 797 · Liz 1;11
  12. it's got a lot in this book . MOT · eng_british_Manchester_II/liz02b.cha, line 817 · Liz 1;11
  13. was there a frog in it ? INV · eng_british_Manchester_II/liz02b.cha, line 902 · Liz 1;11
  14. are you putting his nose in now ? MOT · eng_british_Manchester_II/liz02b.cha, line 990 · Liz 1;11
  15. won't [: willn't] it go in ? MOT · eng_british_Manchester_II/liz02b.cha, line 1001 · Liz 1;11
  16. it's stuck in . MOT · eng_british_Manchester_II/liz02b.cha, line 1107 · Liz 1;11
  1. MOTmmhm .
    MOTthey're getting things # you know # to sell .
    MOT*MOT: oh well we'll be able to put something in there , won't [: willn't] we ?
    MOTit'll save me going to Oxfam .
    MOTmmhm .
  2. MOTokay .
    CHIlegs .
    MOT*MOT: are you gonna [: going to] put his legs in there ?
    CHIhelp .
    CHILiz help .
  3. MOTwhere's his feet ?
    MOTlook .
    MOT*MOT: are you going to find his feet in there ?
    MOTthat's right .
    MOTand the other one .
  4. MOToh: .
    MOTyou have to stretch it over his arms .
    MOT*MOT: can you find his hand in there now ?
    MOTcan you see it ?
    MOTdo you want to pull the sleeve down like this ?
  5. MOTI think that's that Spot dog .
    MOToh I see .
    MOT*MOT: it's got a stitch in there .
    MOTwell it hasn't any more .
    MOTcareful that doesn't tip on you .
  6. MOTwhat's he going to do ?
    MOThe's going to put his clothes on , isn't he ?
    MOT*MOT: and there's a little mouse in the wardrobe .
    MOTbirthday breakfast time Godfrey .
    MOTwhat's in the fridge ?
  7. MOTand there's a little mouse in the wardrobe .
    MOTbirthday breakfast time Godfrey .
    MOT*MOT: what's in the fridge ?
    CHIcake .
    MOTmmhm .
  8. MOTand what's this ?
    CHIcar .
    MOT*MOT: a car with two people in it .
    MOTone two .
    CHIduck .
  9. CHItree and bird .
    CHIbird .
    MOT*MOT: oh a birdie in the tree .
    CHIwhat that ?
    MOTmmhm .
  10. CHIseesaw .
    MOTyeah .
    MOT*MOT: we find all those in the park , don't we ?
    CHIpark .
    MOTmmhm .
  11. MOTyeah .
    CHIpeople .
    MOT*MOT: with people in yeah .
    CHIchuck@o chuck@o .
    CHIget in tractor .
  12. MOTand an aeroplane .
    MOTgosh .
    MOT*MOT: it's got a lot in this book .
    CHIbook .
    MOTmmhm .
  13. INVdid you go to see a pond ?
    CHIyeah .
    INV*INV: was there a frog in it ?
    CHILiz .
    MOTwe didn't see any fishs though , did we Liz ?
  14. MOTthat's right .
    MOTwhoops .
    MOT*MOT: are you putting his nose in now ?
    CHIarm there .
    MOTyeah .
  15. MOTand what's that ?
    CHIgo .
    MOT*MOT: won't [: willn't] it go in ?
    MOTthat's right .
    MOTjust wiggle it a bit .
  16. CHIyeah .
    MOTthat piece doesn't come out .
    MOT*MOT: it's stuck in .
    MOTthis one .
    MOTright go on .

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. Liz eng_british_Manchester_II10.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz02b.chaLiz 1;11.161,534161610.43

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.

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