Combining pre-editing and post-editing to improve SMT of user-generated content
Combining pre-editing and post-editing to improve SMT of user-generated content
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结合预编辑和后期编辑来改进用户生成内容的 SMT
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Sabine Lehmann
中科院分区：
文献类型：
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作者：
Johanna Gerlach;Victoria Porro;P. Bouillon;Sabine Lehmann
论坛中的用户生成内容（UGC）质量差，既妨碍了可读性，也妨碍了机器翻译。为了改善这两个方面，我们开发了面向人类和机器的预编辑规则，这些规则可以纠正或重新制定这些内容。在本文中，我们提出了一项研究的结果，调查是否预编辑规则，提高统计机器翻译（SMT）的输出质量也有积极的影响，编辑后的生产力。在这项研究中，预编辑规则适用于从技术论坛中提取的一组法语句子。在SMT之后，对原始源和其编辑前版本的翻译的编辑后时间工作量和最终质量进行比较。结果表明，预编辑加快了后编辑，这两个过程的结合是值得进一步研究。
The poor quality of user-generated content (UGC) found in forums hinders both readability and machine-translatability. To improve these two aspects, we have developed human- and machine-oriented pre-editing rules, which correct or reformulate this content. In this paper we pre-sent the results of a study which investigates whether pre-editing rules that improve the quality of statistical machine translation (SMT) output also have a positive impact on post-editing productivity. For this study, pre-editing rules were applied to a set of French sentences extracted from a technical forum. After SMT, the post-editing temporal effort and final quality are compared for translations of the raw source and its pre-edited version. Results obtained suggest that pre-editing speeds up post-editing and that the combination of the two processes is worthy of further investigation.