A Study on the Translation Techniques of Long Sentences in the Science of Fairy Tales Under Newmark’s Communicative Translation Theory

Su CHAI, Zhiyou GUO

Abstract


Informative texts make up a large part of all the texts worldwide. Newmark’s communicative translation theory has been proved to be of great value in guiding the translation of this kind among translations written in Indo-European languages. But whether this theory is still applicable in transferring long complex English sentences into Chinese remains to be further verified. This paper focuses on some selected sentences from a content-based informative text The Science of Fairy Tales which demonstrates the principle and method in creating fairy tales and is written by Edwin Sidney Hartland, a prestigious writer in folklore literature. In translation, the present translators find that in addition to some relevant terminology concerning fairy tales, the text contains numerous long complex sentences which is necessary to choose appropriate translation techniques within the theoretical framework in order to produce an ideal rendition. In light of this, to take the typical translation of long sentences in social science texts as examples, the writers of this paper exemplify the E-C translation of long sentences in social science texts under the guidance of Newmark’s Communicative Translation Theory, hoping to explore the translation techniques of long sentences in this kind of texts. The present translators choose five translation techniques: sequence, reverse, division, embedding and recasting. After a meticulous and rigorous study, the present translators find that Communicative Translation Theory not only helps to produce acceptable and idiomatic translation but also provide feasible guidance for informative texts translation.

 


Keywords


Informative texts; The Science of Fairy Tales; Newmark’s Communicative Translation Theory; Social science text; Translating techniques of long English sentences

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References


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DOI: http://dx.doi.org/10.3968/12372

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