Translationese and Post-editese: How comparable is comparable quality?
Translationese and Post-editese: How comparable is comparable quality?
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翻译语和译后编辑语：质量可比性如何？
DOI：
10.52034/lanstts.v16i0.434
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Lieve Macken
中科院分区：
文献类型：
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作者：
J. Daems;Orphée De Clercq;Lieve Macken
尽管编辑后的文本已经被证明与人工翻译的质量相当或更好，但一项研究表明，人们似乎仍然更喜欢人工翻译的文本。尽管文本质量很高，但本质上是不同的，这种想法并不新鲜。例如，翻译文本也不同于原文，这种现象被称为“翻译”。对翻译语的研究表明，虽然人类无法区分翻译文本和原始文本，但计算机已经被训练成成功地检测翻译语。至于我们所说的后编辑是否也能做到这一点，还有待观察。我们首先确定人类是否能够区分编辑后的文本和人类翻译，然后确定是否有可能建立一个可以区分翻译文本和编辑后文本的监督机器学习模型。
Whereas post-edited texts have been shown to be either of comparable quality to human translations or better, one study shows that people still seem to prefer human-translated texts. The idea of texts being inherently different despite being of high quality is not new. Translated texts, for example, are also different from original texts, a phenomenon referred to as ‘Translationese’. Research into Translationese has shown that, whereas humans cannot distinguish between translated and original text, computers have been trained to detect Translationese successfully. It remains to be seen whether the same can be done for what we call Post-editese. We first establish whether humans are capable of distinguishing post-edited texts from human translations, and then establish whether it is possible to build a supervised machine-learning model that can distinguish between translated and post-edited text.