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- W2375697715 abstract "In information theory,the Shannon entropy or information entropy is a measure of the uncertainty associated with a random variable.It is found that this Shannon or information entropy can be employed to analyse the uncertainty or fuzziness in the reader's understanding of the information content of a given text,an ST or a TT.Illustrated with examples from The Da Vinci Code and its Chinese translations,this paper studies this functional dimension of the Shannon entropy and argues for a new approach to the handling of fuzzy utterances in translation and an objective way of assessing the equivalence between a TT and its ST in terms of fuzzy language." @default.
- W2375697715 created "2016-06-24" @default.
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- W2375697715 date "2008-01-01" @default.
- W2375697715 modified "2023-09-26" @default.
- W2375697715 title "Information Entropy and the Measurement of Fuzzy Language in Literary Translation" @default.
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