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Rob Lee

Biographic Data

ID6113511
NAMERob Lee
GIVEN NAMESRob
FAMILY NAMELee
SIGNATURELEE R
AFFILIATIONSSchool of Biosciences
ORCID0000-0001-6168-0976
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2015
H-INDEX0
  • On statistical measures and ancient writing systems

    Open Access•Rajesh P N Rao, Robert J Lee et al.•ARTICLE•Language•2015

    An article published in Language (Sproat 2014a) questions our findings on the Indus script and Pictish symbols published in the journals Science (Rao et al. 2009a), PNAS (Rao et al. 2009b), IEEE Computer (Rao 2010), and the Proceedings of the Royal Society (Lee et al. 2010a,b). Sproat’s article does not accurately present our methods and findings, and its conclusions are based on what appears to be a misunderstanding of our proposed approach. For…

  • The use of information theory to determine the language character type of Pictish symbols

    Open Access•Rob Lee•ARTICLE•Scottish Archaeological Journal•2010

    Pictish symbols are found on stones, cave walls and portable items (e.g. silver metalwork). A detailed pictorial corpus of all the images found on these materials has been created. Using this pictorial corpus, a catalogue of possible symbol types has been drawn up and a second, comparative visual corpus for each of these symbol types produced. The images in the pictorial corpus were then defined using the different sets of symbol types and analys…

  • A Response to Richard Sproat on Random Systems, Writing, and Entropy

    Open Access•Robert J Lee, Rob Lee et al.•ARTICLE•Computational Linguistics•2010•References: 1

    In his article "Ancient symbols and computational linguistics" (Sproat 2010), Professor Sproat raised two concerns over a method that we have proposed for analyzing small data sets of symbols using entropy (Lee, Jonathan, and Ziman 2010): first, that the method is unable to detect random but non-equiprobable systems; and second, that it misclassifies kudurru texts.W e address these concerns in the following response. © 2010 Association for Comput…

No prominent works on this page.

  • The use of information theory to determine the language character type of Pictish symbols

    Open Access•Rob Lee•ARTICLE•Scottish Archaeological Journal•2010

    Pictish symbols are found on stones, cave walls and portable items (e.g. silver metalwork). A detailed pictorial corpus of all the images found on these materials has been created. Using this pictorial corpus, a catalogue of possible symbol types has been drawn up and a second, comparative visual corpus for each of these symbol types produced. The images in the pictorial corpus were then defined using the different sets of symbol types and analys…

  • A Response to Richard Sproat on Random Systems, Writing, and Entropy

    Open Access•Robert J Lee, Rob Lee et al.•ARTICLE•Computational Linguistics•2010•References: 1

    In his article "Ancient symbols and computational linguistics" (Sproat 2010), Professor Sproat raised two concerns over a method that we have proposed for analyzing small data sets of symbols using entropy (Lee, Jonathan, and Ziman 2010): first, that the method is unable to detect random but non-equiprobable systems; and second, that it misclassifies kudurru texts.W e address these concerns in the following response. © 2010 Association for Comput…

  • On statistical measures and ancient writing systems

    Open Access•Rajesh P N Rao, Robert J Lee et al.•ARTICLE•Language•2015

    An article published in Language (Sproat 2014a) questions our findings on the Indus script and Pictish symbols published in the journals Science (Rao et al. 2009a), PNAS (Rao et al. 2009b), IEEE Computer (Rao 2010), and the Proceedings of the Royal Society (Lee et al. 2010a,b). Sproat’s article does not accurately present our methods and findings, and its conclusions are based on what appears to be a misunderstanding of our proposed approach. For…

Computer Science (3 works) · Language and cultural evolution (3 works) · Linguistics (3 works) · Natural language processing (3 works) · Philosophy (3 works) · Artificial Intelligence (2 works) · Algorithm (1 work) · Authorship Attribution and Profiling (1 work) · Categorization, perception, and language (1 work) · Computational linguistics (1 work)

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