PHPCLANCHILDES with regular expressions

22 matches in 22 utterances

17.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (337 utterances, 1,289 words searched).

  1. are you going to tell me who everybody is ? MOT · eng_british_Manchester_I/becky14b.cha, line 27 · Becky 2;04
  2. they're big , are they ? MOT · eng_british_Manchester_I/becky14b.cha, line 45 · Becky 2;04
  3. what are you saying, Becky ? MOT · eng_british_Manchester_I/becky14b.cha, line 356 · Becky 2;04
  4. are you putting them away ? MOT · eng_british_Manchester_I/becky14b.cha, line 555 · Becky 2;04
  5. are these <the one's that> [//] the nicest ones here ? MOT · eng_british_Manchester_I/becky14b.cha, line 577 · Becky 2;04
  6. are they ? MOT · eng_british_Manchester_I/becky14b.cha, line 582 · Becky 2;04
  7. they're in there , are they the big ones ? MOT · eng_british_Manchester_I/becky14b.cha, line 590 · Becky 2;04
  8. they're in there , are they ? MOT · eng_british_Manchester_I/becky14b.cha, line 670 · Becky 2;04
  9. which ones are you favorites ? MOT · eng_british_Manchester_I/becky14b.cha, line 676 · Becky 2;04
  10. are there any cats among those animals , Becky ? MOT · eng_british_Manchester_I/becky14b.cha, line 712 · Becky 2;04
  11. there aren't , are there ? MOT · eng_british_Manchester_I/becky14b.cha, line 719 · Becky 2;04
  12. some cows in there , are there ? MOT · eng_british_Manchester_I/becky14b.cha, line 756 · Becky 2;04
  13. what are you saying , Becky ? MOT · eng_british_Manchester_I/becky14b.cha, line 826 · Becky 2;04
  14. there we are . MOT · eng_british_Manchester_I/becky14b.cha, line 866 · Becky 2;04
  15. what [/] what are you thinking of ? MOT · eng_british_Manchester_I/becky14b.cha, line 922 · Becky 2;04
  16. why are you on about monkeys ? MOT · eng_british_Manchester_I/becky14b.cha, line 1059 · Becky 2;04
  17. are you sure <you don't> [//] you willn't let me do that button , Becky ? MOT · eng_british_Manchester_I/becky14b.cha, line 1107 · Becky 2;04
  18. what are they doing ? MOT · eng_british_Manchester_I/becky14b.cha, line 1126 · Becky 2;04
  19. can you count how many there are ? MOT · eng_british_Manchester_I/becky14b.cha, line 1161 · Becky 2;04
  20. you're playing with the cows while I put the dress on , are you ? MOT · eng_british_Manchester_I/becky14b.cha, line 1225 · Becky 2;04
  21. here you are . MOT · eng_british_Manchester_I/becky14b.cha, line 1254 · Becky 2;04
  22. there we are . MOT · eng_british_Manchester_I/becky14b.cha, line 1552 · Becky 2;04
  1. MOTwhat [//] can I tip these out ?
    CHImmhm .
    MOT*MOT: are you going to tell me who everybody is ?
    CHIthese out .
    CHIno .
  2. MOTshall we stand them up so I can see the properly ?
    CHIthey 0are [*] big .
    MOT*MOT: they're big , are they ?
    CHIyes .
    CHII put them on there .
  3. MOTtoes ?
    INVtoes ?
    MOT*MOT: what are you saying, Becky ?
    CHIwe got toes .
    CHIwe toes .
  4. INVthere's a tub there and there's one here .
    CHItub , look .
    MOT*MOT: are you putting them away ?
    CHIyes .
    CHIaway .
  5. CHIxxx .
    MOTdo you like the small ones best then , Becky ?
    MOT*MOT: are these <the one's that> [//] the nicest ones here ?
    CHIyes .
    MOTare they ?
  6. MOTare these <the one's that> [//] the nicest ones here ?
    CHIyes .
    MOT*MOT: are they ?
    MOTdon't you like the big animals ?
    CHIno .
  7. CHIno .
    CHIxxx .
    MOT*MOT: they're in there , are they the big ones ?
    CHImmhm .
    MOTthink that lid's upsidedown , Becky .
  8. CHIthere .
    MOToh .
    MOT*MOT: they're in there , are they ?
    CHIanimals in there .
    MOTwhich [/] which animal do you like best ?
  9. CHIanimals in there .
    MOTwhich [/] which animal do you like best ?
    MOT*MOT: which ones are you favorites ?
    CHIxxx .
    CHIwhat I like ?
  10. MOTit's a bit confusing , isn't it ?
    CHIthese animals .
    MOT*MOT: are there any cats among those animals , Becky ?
    CHIno .
    MOTno .
  11. CHIno .
    MOTno .
    MOT*MOT: there aren't , are there ?
    MOTI wonder why ?
    CHIRachel's gonna [: going to] bring cats .
  12. MOTpardon ?
    CHIthis one cows in .
    MOT*MOT: some cows in there , are there ?
    CHImmhm .
    MOTcan you remember what happened to panda last week ?
  13. CHIxxx first .
    MOTwww .
    MOT*MOT: what are you saying , Becky ?
    MOTwhat's first ?
    CHIdo this .
  14. MOTbecause then you've half untied it , haven't you ?
    MOTxxx .
    MOT*MOT: there we are .
    CHIoff .
    MOTshall we take dolly's dress off ?
  15. CHIgreen dinosaur .
    MOTthe green dinosaur .
    MOT*MOT: what [/] what are you thinking of ?
    CHIthat green dinosaur .
    MOTyes .
  16. MOTdo you think there should be ?
    CHIyeah .
    MOT*MOT: why are you on about monkeys ?
    CHIxxx .
    CHIhello .
  17. CHImmhm .
    CHIwho made these ?
    MOT*MOT: are you sure <you don't> [//] you willn't let me do that button , Becky ?
    MOTI'm itching to fasten the button ?
    CHImmhm .
  18. INVmmhm [>] .
    MOT<they're> [<] in the garden .
    MOT*MOT: what are they doing ?
    CHIdon't know .
    MOTsinging , aren't they ?
  19. MOTwell done .
    CHII done it .
    MOT*MOT: can you count how many there are ?
    CHIone .
    CHIno .
  20. CHIwant to play cows .
    MOToh .
    MOT*MOT: you're playing with the cows while I put the dress on , are you ?
    MOTI see .
    CHIoh .
  21. CHIwho 0is [*] in here ?
    CHIanimals .
    MOT*MOT: here you are .
    CHIxxx .
    CHIoh my .
  22. MOTdo you want me to help you with that lid ?
    MOThave to press quite hard I think to do this .
    MOT*MOT: there we are .
    CHIxxx .
    CHII see something .

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. Becky eng_british_Manchester_I17.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky14b.chaBecky 2;4.281,289222217.07

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. are22 · 100.0%