JCE-TC Japanese-Chinese-English Translation Corpus and Its Application

本课题主要研究日中英翻译语料库及其应用。(1)提出了一种中文和日语平行语料库自动对齐算法。该算法最初试图通过测量两种文档中句子长度的差异来对齐中文和日语句子。(2)提出了“敏感词”的概念，描述了敏感词的分割问题以及敏感词对自然语言处理的影响。我们已经公布了考试结果。(3)基于规则的机器翻译的一个关键问题是翻译知识的获取。过去已有许多关于自动习得的研究，但这些研究需要大量的注释例句。在这个项目中，我们开发了一个半自动机制来支持从日中环境的翻译示例中获取知识。(4)我们提出了一种轻松的汉语分词方法，它不仅提取通常所提取的最长词，而且提取所有隐含的短词。为了识别和规范专有名词和标称限定词等特殊词语，还设计了特殊规则。结果表明，基于此分割的IR比二元图的效率更高。(5)我们采用了一种新的混合多引擎方法来进行机器翻译，这种方法可以吸收以前提出的方法的优点，并消除它们的缺点。(6)改善多语种环境后，我们将在网上发布我们的“翻译语料库”和“汉语词典”。

In this project, We studied Japanese-Chinese-English Translation Corpus and Its Application.(l)We have proposed an algorithm for automatically aligning Chinese and Japanese parallel Corpora. The algorithm initially attempts to align the Chinese and Japanese sentences using measurements of the differences between sentence lengths in the two documents.(2)We have proposed a new concept called "Sensitive Word", and described the segmentation problem and the impact of the sensitive word on natural language processing. We have shown the result of our examination.(3)A crucial problem in rule-based machine translation is the acquisition of translation knowledge. Many studies have been conducted for automatic acquisition in the past, but they require a great deal of annotated examples. In this project, we have developed a semi-automatic mechanism to support knowledge acquisition from translation examples in Japanese-Chinese environment.(4) We have proposed a relaxed segmentation process for Chinese which extracts not noly the longest words as one usually does, but also all the short words implied. Special rules are also designed in order to recongnize and standardize sepcial words such as proper names and nominal pre-determiners. It is shown that IR based on this segmentation leads to a higher effectiveness than bigrams.(5) We have taken a new hybrid multi-engine approach to machine translation, which can take the advantages of the previously proposed methods and get rid of their disadvantages.(6) We will publisize our "Translation corpora" and "Chinese dictionary" on the Web after we improve the multi-lingual envionment.