利用用户生成的内容改进机器翻译

2011 International Conference on Communications and Information Technology (ICCIT) Pub Date : 2011-03-29 DOI:10.1109/ICCITECHNOL.2011.5762660

Atheer S. Al-Khalifa, Hend Suliman Al-Khalifa

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引用次数: 0

摘要

本文提出了一种新的方法来克服统计机器翻译服务中不包括新术语翻译的局限性。提出的方法是基于用户生成内容的力量来驱动英语单词的阿拉伯语翻译。我们最初的试点实验显示了我们方法的潜力。这种方法可以作为一个附加组件来提高现有统计翻译服务(如Google Translate)的质量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Towards improving machine translation using user generated content

This paper presents a novel approach to overcome the limitation inherited in statistical machine translation services where the translation of new terms is not covered. The proposed approach is based on the power of user generated content to drive Arabic translations of English words. Our initial pilot experiment reveals the potential of our approach. This approach can act as an add-on to improve the quality of existing statistical translation services such as Google Translate.

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2011 International Conference on Communications and Information Technology (ICCIT)

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