Fast-Syntax-Matching-Based Japanese-Chinese Limited Machine Translation

机译：基于快速语法匹配的日汉有限机器翻译

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摘要

Limited machine translation (LMT) is an unliterate automatic translation based on bilingual dictionary and sentence bank. This paper addresses the Japanese-Chinese LMT problem, proposes two syntactic hypotheses about Japanese texts, and designs a fast-syntax-matching-based Japanese-Chinese (FSMJC) LMT algorithm. In which, the fast syntax matching function, a modified version of Levenshtein function, can predict an approximate similarity of syntactic patterns between two Japanese sentences by a straightforward calculating of their formal occurrences. The experimental results show that the FSMJC LMT algorithm can obtain desirable effects with greatly reduced time costs, and prove that our two syntactic hypotheses are effective on Japanese texts.

机译：受限机器翻译（LMT）是基于双语词典和句子库的不识字的自动翻译。本文针对日汉LMT问题，提出了两个关于日文文本的句法假设，并设计了一种基于快速语法匹配的日汉LMT算法。其中，快速语法匹配功能（Levenshtein函数的修改版本）可以通过直接计算两个日语句子的形式出现来预测它们之间句法模式的近似相似性。实验结果表明，FSMJC LMT算法可以在减少时间成本的同时获得理想的效果，并证明我们的两种句法假设对日语文本都是有效的。

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来源
《Natural language understanding and intelligent applications》|2016年|621-630|共10页
会议地点 Kunming(CN)
作者
Wuying Liu; Lin Wang;
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作者单位

Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies, Guangzhou 510420, Guangdong, China;

Laboratory of Language Engineering and Computing, Guangdong University of Foreign Studies, Guangzhou 510420, Guangdong, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Limited machine translation; Fast syntax matching; Hiratoken; Syntactic pattern; Formal occurrence;

机译：机器翻译受限；快速语法匹配；希拉托肯句法模式正式出现;

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Fast-Syntax-Matching-Based Japanese-Chinese Limited Machine Translation

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