PACLIC-27 Vietnamese to Chinese Machine Translation via Chinese Character as Pivot∗ Hai Zhao1;2y Tianjiao Yin3 Jingyi Zhang1;2 (1) MOE-Microsoft Key Laboratory of Intelligent Computing and Intelligent System (2) Department of Computer Science and Engineering, Shanghai Jiao Tong University #800 Dongchuan Road, Shanghai, China, 200240 (3) Facebook, Inc. 1601 Willow Rd. Menlo Park, CA 94025 USA
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[email protected] [email protected] Abstract Using Chinese characters as an intermedi- ate equivalent unit, we decompose machine translation into two stages, semantic transla- tion and grammar translation. This strategy is tentatively applied to machine translation between Vietnamese and Chinese. During the semantic translation, Vietnamese sylla- bles are one-by-one converted into the cor- responding Chinese characters. During the grammar translation, the sequences of Chi- Figure 1: The phrase Chinese character culture sphere nese characters in Vietnamese grammar or- written in Chinese characters from different regions. der are modified and rearranged to form grammatical Chinese sentence. Compared to the existing single alignment model, the t SMT (Chu et al., 2012), though their approach- division of two-stage processing is more tar- es still follow the standard processing pipeline of geted for research and evaluation of machine SMT. For those resource-poor languages, a pivot translation. The proposed method is evalu- ated using the standard BLEU score and a language will be used as an expedience (Utiyama new manual evaluation metric, understand- and Isahara, 2007; Wu and Wang, 2009). ing rate. Only based on a small number In this work, we focus on machine translation of dictionaries, the proposed method gives (MT) for language pairs with few parallel corpora competitive and even better results com- but rich linguistic connections.