What has changed with neural machine translation? A critical review of human factors
What has changed with neural machine translation? A critical review of human factors
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DOI：
10.1080/0907676x.2021.1889005
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发表时间：
2021-02
期刊：
影响因子：
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通讯作者：
Valentina Ragni;Lucas Nunes Vieira
中科院分区：
文献类型：
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作者：
Valentina Ragni;Lucas Nunes Vieira
摘要近年来，自动化和翻译生产率的推动导致了机器翻译（MT）系统的开发。神经机器翻译（NMT）代表了这些努力中的最新成果。在本文中，我们提出了一个批判性的审查的人的因素在NMT的研究有两个目标：提供一个快照的NMT涉及人类利益相关者的研究，并评估如何专业翻译已被列入话语NMT。我们报告了四个关键发现。首先，从译者的角度来看，神经范式带来的变化与工作流程无关，而是与NMT编辑过程及其细节有关。第二，大多数涉及人类利益相关者的NMT研究都是为了推进MT的发展，而不是确保NMT作为专业人员工具的有用性。第三，审查表明，对翻译生产率的概念总体上比较狭隘，往往仅以处理时间或吞吐量为衡量标准。第四，涉及最终用户的NMT调查仍然相对较少。我们提出并讨论了这些研究结果，并提出建议，为今后的研究主题，包括生产力的概念和NMT作为一个专业工具的作用。
ABSTRACT In recent years, the push towards automation and translation productivity led to great efforts dedicated to the development of machine translation (MT) systems. Neural machine translation (NMT) represents the latest of these efforts. In this paper we present a critical review of human factors in NMT research with two goals: to provide a snapshot of research in NMT involving human stakeholders, and to appraise how professional translators have been included in discourses around NMT. We report four key findings. First, from translators’ perspective, changes brought about by the neural paradigm are not as much to do with workflows, but rather with the NMT editing process and its specifics. Second, the majority of NMT research involving human stakeholders is directed towards advancing the state of MT development rather than ensuring the usefulness of NMT as a tool for professionals. Third, the review suggested overall narrow conceptualisations of translation productivity that were often based solely on measures of processing time or throughput. Fourth, it emerged that NMT investigations involving end-users are still relatively scarce. We present and discuss these findings, and make recommendations for future research on topics including the concept of productivity and the role of NMT as a professional tool.