Triangulating text relationship in literary retranslation: The Great Gatsby in Chinese.

In the scenario of literary retranslation, the presence of a previous translation necessarily has influence on retranslators. Systemic analyses of relevant features are needed to reveal the potential influence that an earlier translation exerts on a later one and the strategies the latter takes as a...

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Publicado en:Digital Scholarship in the Humanities Vol. 39; no. 3; pp. 849 - 864
Autor principal: Ding, Guoqi
Formato: Artículo
Publicado: Oxford University Press / USA Sep2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2024
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      pub: Oxford University Press / USA
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        atl: Triangulating text relationship in literary retranslation: The Great Gatsby in Chinese.
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        au: Ding, Guoqi
        affil: School of Foreign Languages, Huzhou University , Huzhou, China
      su:
        Principal components analysis
        Support vector machines
        Story plots
        Sentiment analysis
        Vocabulary
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        subj:
          Principal components analysis
          Support vector machines
          Story plots
          Sentiment analysis
          Vocabulary
      keyword:
        linguistic features
        retranslation
        sentiment
        text distance
      ab: In the scenario of literary retranslation, the presence of a previous translation necessarily has influence on retranslators. Systemic analyses of relevant features are needed to reveal the potential influence that an earlier translation exerts on a later one and the strategies the latter takes as a response. Starting with the assumption that a distinctive translation can be identified with a set of consistent features, this study examines the relationship between translations with The Great Gatsby and its nine Chinese versions as a case in point, with a novel method of corpus triangulation. For the discovery of the most effective set of distinctive features, a multi-class Support Vector Machine algorithm is applied on twenty-one linguistic features related to vocabulary, grammar, and textuality for the classification of samples from the nine versions. A principal components analysis then follows to verify the multi-dimensionality of a translation and the intertwinement of its features. Finally, further aided with a sentiment analysis, we examine the faithfulness of translations and their distances from each other. Through cross-validation, this study finds: (1) With the shared source text, different translations show a certain, and in some pairs striking, degree of resemblance both in terms of linguistic features and in the sentiment-based narrative plot; (2) the dependency relation between retranslations and earlier ones is usually manifested in measurable linguistic features; (3) linguistic features of a text are normally combined in a complicated manner and features of different categories inextricably intertwined; (4) the trend of proximity proposed by the Retranslation Hypothesis is discernible in the retranslations; and (5) cross-validation between the examination of linguistic features and sentiment analysis proves to be an effective approach for measuring the distance between translations and the closeness of a translation to the original.
      pubtype: Academic Journal
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    language: English
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