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A Corpus-aided Translation Study On The Linguistic Features Of Stream Of Consciousness In Ulysses

Posted on:2009-08-29Degree:MasterType:Thesis
Country:ChinaCandidate:J L HanFull Text:PDF
GTID:2155360242974362Subject:Foreign Linguistics and Applied Linguistics
Abstract/Summary:PDF Full Text Request
Ulysses is a landmark work of the modernist literature. Its unparallel uniqueness in modernistic literature and its corresponding linguistic presentation pose a great challenge to its translators. So a study on its Chinese translations in terms of retaining the style is well worth performing.The author of this thesis endeavors to give comprehensive descriptions, comparisons and analyses by integrating the quantitative and qualitative methods under the theoretical framework of functionalism and corpus-aided translation study. It makes descriptive study on the stylistic features of the two Chinese versions of Ulysses by comparing and contrasting with the original on lexical, syntactical and textual level, and verifies whether or to what degree the two versions indicate the tendency toward foreignization or domestication. The author establishes two parallel corpora containing the original text and its two respective translations (EXPARA and EJPARA) and employs "anchor and overlap" method to align the corpora at sentence level. The author will compare and contrast the statistical results with the parameters drawn from the original text to ensure the objectivity and comprehensiveness of the examples and conclusions.Generally speaking, Xiao Qian and Wen Jieruo tend to domestication at lexical, syntactical and textual level, while Jin. Di swims with the tendency of foreignization. Xiao and Wen successfully dissolve the original obscurity and convey the thematic message, while Jin's version, being mostly faithful to the original both in language use and stylistic consideration, corresponds to his principle of "equivalence".
Keywords/Search Tags:stream of consciousness, stylistics, functionalism, corpus translation studies
PDF Full Text Request
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