Chinese-Naxi machine translation method based on Naxi dependency language model

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• 作者：Shengxiang Gao ; Xiuzhen Yang ; Zhengtao Yu&#8230
• 关键词：Dependency language model ; Translation template ; Decode ; Dependency relationship
• 刊名：International Journal of Machine Learning and Cybernetics
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：8
• 期：1
• 页码：333-342
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Computational Intelligence; Artificial Intelligence (incl. Robotics); Control, Robotics, Mechatronics; Complex Systems; Systems Biology; Pattern Recognition;
• 出版者：Springer Berlin Heidelberg
• ISSN：1868-808X
• 卷排序：8

文摘

To make use of the syntactic characteristic of Naxi language effectively, in this paper, a Chinese-Naxi machine translation method based on Naxi dependency language model is proposed. The method, firstly, makes dependency parsing on the Chinese sentence, and extracts Chinese-Naxi dependency tree-to-string translation templates. Secondly, it decodes Naxi Sentence by using the templates, and generates n-best candidate sentences. Thirdly, it makes dependency parsing on each of the candidate Naxi sentences, and obtains a node sequence corresponding to the dependency relationships. Finally, it builds a Naxi dependency language model, with the help of the model, calculates and reorders each node from the sequence, and selects the final target sentence. The comparative experiments, on the proposed method, the existing tree-to-string translating method, Bruin and Mo-tse, show that the Chinese-Naxi machine translation method combined with the Naxi dependency language model can improve the translating accuracy effectively, and its BLEU-2 increases by 2 point than without the Naxi dependency language model.