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conditioned on the E-C translation of Neural Machine Translation (Chapter 8 and Chapter 9) under the guidance of Newmark’s text typology theory as well as semantic translation and communicative translation, analyzing the difficulties and proposing corresponding strategies and methods for the lexical, syntactic as well as textual translation. Through the whole translation practice, some results have been achieved as follows. 

Firstly, in terms of Newmark’s two translation strategies, the combination of semantic translation and communicative translation is a sound choice in the translation of such highly professional informative texts given the source text type and the target text readership. Semantic translation is applicable in the translation of the technical terms (high-context terminology and low-context terminology) and proper nouns in order to faithfully, accurately and professionally convey the information of the original text. Communicative translation is appropriate in the translation of nominalized structures, passive voices, long sentences and discourse so as to produce a fluent, acceptable and understandable translation in line with the target text language for readers. 

Secondly, in light of the concrete translation methods and techniques, it is classified and concluded from three linguistic levels as follows: (1) At the lexical level, literal translation, transcription and precise selection of word meaning are adopted to retain the professionalism and accuracy of technical terms while zero translation and transliteration are used to secure faithfulness and avoid text credibility and readability undermined. (2) At the syntactic level, the translation of nominalized structures and passive voice can employ conversion of part of speech and voice, addition and omission for a fluent translation closely complying with Chinese expression style. And long sentences can be processed via division, adjustment and recasting for an accurate and concise translation well suiting Chinese narrative pattern. (3) At the textual level, addition, repetition and order adjustment can be applied to fully ensure the fluent cohesion and logical coherence of the target text while precisely delivering the original information.

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