后编辑隐喻表达:生产力、质量与策略

Yanfang Jia, Si Lai
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引用次数: 1

摘要

本研究旨在探讨神经机器翻译(NMT)的后期编辑对英汉隐喻表达的翻译效率、翻译质量和翻译策略的影响。为此,本研究对30名学生译者进行了对比研究,他们对一篇富含隐喻的文本进行了后期编辑或翻译。通过对击键记录、回溯协议、问卷调查和翻译质量评估数据进行三角测量,我们发现:(1)与从头翻译相比,使用NMT后期编辑技术处理隐喻表达显著提高了译者的翻译效率;(2) NMT被认为有助于隐喻表达的处理,并且后期编辑在最终输出中比从头翻译产生更少的错误;(3)后译和从头翻译由于两种任务的内在差异,对隐喻表达的处理策略不同,其中后译中使用最多的是“直接迁移”,译者通常依靠NMT输出来完成最终译文,而从头翻译则采用更为平衡的策略,译者需要寻求不同的解决方案来呈现隐喻表达;在后期编辑中,对隐喻表达的处理策略和最终产品的质量起主要作用的是NMT输出的质量,而不是源文本中隐喻表达的常规性。讨论了实践意义和研究意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Post-Editing Metaphorical Expressions: Productivity, Quality, and Strategies
This study aims to explore the impact of neural machine translation (NMT) post-editing on metaphorical expressions from English to Chinese in terms of productivity, translation quality, and the strategies employed. To this end, a comparative study was carried out with 30 student translators who post-edited or translated a text rich in metaphors. By triangulating data from keystroke logging, retrospective protocols, questionnaires, and translation quality evaluation, it was found that: (1) processing metaphorical expressions using NMT post-editing has significantly increased the translators’ productivity compared to translating them from scratch; (2) NMT was perceived to be useful in processing metaphorical expressions and post-editing produced fewer errors in the final output than translation from scratch; (3) different strategies were used to process metaphorical expressions in post-editing and from-scratch translation due to the inherent differences in the two tasks, with “direct transfer” used most frequently in post-editing as translators usually rely on the NMT output to produce the final translation but more balanced strategies adopted in from-scratch translation as they need to seek for different solutions to rendering the metaphorical expressions; the quality of NMT output played a major role in what strategies were adopted to process the metaphorical expressions and their final product quality in post-editing, rather than the conventionality of the metaphorical expressions in the source text. Practical and research implications are discussed.
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CiteScore
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发文量
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