Verbal Phrase Generation based on Derivational Grammar in Japanese-Uighur Machine Translation

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  • OGAWA YASUHIRO
    Department of Information Engineering, Nagoya University
  • MUHSUT MUHTAR
    Department of Information Engineering, Nagoya University
  • SUGINO KAZUE
    Department of Information Engineering, Nagoya University
  • TOYAMA KATSUHIKO
    Department of Information Engineering, Nagoya University Center for Integrated Acoustic Information Research (CIAIR), Nagoya Universlty
  • INAGAKI YASUYOSHI
    Department of Information Engineering, Nagoya University

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Other Title
  • 派生文法に基づく日本語動詞句のウイグル語への翻訳
  • ハセイ ブンポウ ニ モトヅク ニホンゴ ドウシク ノ ウイグルゴ エ ノ ホンヤク

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Abstract

Since both Japanese and Uighur languages are agglutinative languages, they have a lot of syntactic similarities. Thus we can translate from Japanese into Uighur by replacing Japanese words with corresponding Uighur words after morphological analysis of Japanese sentences. However, Japanese verbs have been said to conjugate but Uighur verbs do not, so that we have to analyze Japanese conjugation. In this paper, by using the derivational grammar which formalizes Japanese verbs syntax without conjugation, we propose a simple and systematical translation system.Since there are some differences between Japanese and Uighur, this simple translation sometimes makes output sentences unnatural. To solve this problem, we use a word replacement table which is based on word connection relations on Uighur. The system consists of three independent modules and so we can apply this approach to the translation between other agglutinative languages. We also show the performance evalution of the system. In this paper, we will focus on the translation method of verbal clauses which play an important role in sentences.

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