论文标题
翻译中的创造力：机器翻译是文学文本的约束
Creativity in translation: machine translation as a constraint for literary texts
论文作者
论文摘要
本文介绍了一项研究的结果，该研究涉及库尔特·冯内古特（Kurt Vonnegut）从英语到加泰罗尼亚语和荷兰语的简短故事的翻译：使用三种方式：机器翻译（MT），后编辑（PE）和无助的翻译（HT）。我们的目的是从定量的角度探索创造力，理解为涉及新颖性和可接受性。结果表明，HT的创造力得分最高，其次是PE，最后是MT，这是所有评论者的一致性。接受文学数据培训的神经MT系统目前没有必要的功能来进行创意翻译；它为翻译问题提供了文字解决方案。据专家说，更重要的是，使用MT来编辑后的原始产出会限制翻译人员的创造力，从而导致较差的翻译通常不适合出版。
This article presents the results of a study involving the translation of a short story by Kurt Vonnegut from English to Catalan and Dutch using three modalities: machine-translation (MT), post-editing (PE) and translation without aid (HT). Our aim is to explore creativity, understood to involve novelty and acceptability, from a quantitative perspective. The results show that HT has the highest creativity score, followed by PE, and lastly, MT, and this is unanimous from all reviewers. A neural MT system trained on literary data does not currently have the necessary capabilities for a creative translation; it renders literal solutions to translation problems. More importantly, using MT to post-edit raw output constrains the creativity of translators, resulting in a poorer translation often not fit for publication, according to experts.
