二语法律翻译学员词汇能力的培养:一种数据挖掘技术在外语翻译中的应用

IF 1.8 1区 文学 0 LANGUAGE & LINGUISTICS Interpreter and Translator Trainer Pub Date : 2021-01-08 DOI:10.1080/1750399X.2020.1868177
Justyna Giczela-Pastwa
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引用次数: 2

摘要

当代翻译服务市场和几个世纪以来的翻译实践表明,尽管人们曾经强烈反对将语言翻译成非母语(二语翻译),认为这是不专业和内在缺陷的,但它可以有效地进行。在所谓低扩散语言的情况下,二语翻译实际上是不可避免的,这恰好是在主要语言的母语人士中相当有限的。然而,尽管学界关于二语翻译有效性的争论现在明显缓和了,但二语翻译培训中仍然存在一个需要解决的空白。本文指出,二语译文的语法特征往往会被目的语的母语人士认为是不自然的。本文的目的是提出一种基于语料库的数据挖掘技术,以帮助二语法律翻译学员对外国法律语篇的措辞模式更加敏锐,并在做出明智的翻译决策时更加自信。
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Developing phraseological competence in L2 legal translator trainees: a proposal of a data mining technique applied in translation from an LLD into ELF
ABSTRACT Evidence from the contemporary translation services market and many centuries of translation practice demonstrate that translation into a non-native language (L2 translation) can be performed effectively, despite the once-strong resistance to it on the grounds of it being perceived as unprofessional and inherently deficient. L2 translation is in fact unavoidable in the case of so-called languages of low diffusion, the command of which happens to be rather limited among native speakers of major languages. However, although the academic dispute about the validity of L2 translation seems decidedly milder now, there is still a lacuna within L2 translator training that needs to be addressed. This paper indicates that what usually betrays an L2 translation is its phraseological profile, often recognised as unnatural by native speakers of the target language. The aim of this paper is to propose a corpus-based data mining technique that may help L2 legal translator trainees become more observant with regards to phraseological patterning of foreign legal discourse, and more self-confident in taking well-informed translation decisions.
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来源期刊
CiteScore
2.90
自引率
13.30%
发文量
19
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