| 摘要: |
| 在汉英机器翻译译文生成中，一个主要的问题是如何根据句子的上下文语境获取有关时态、语态、句式和主谓性、数、格等信息，生成具有正确单词形态的译文，如动词的过去式、过去分词、现在式形式；名词的所有相、复数形式；助动词生成以及冠同的生成等．本文提出一种基于SC文法的汉英机器翻译译文词形态生成算法，该方法通过设计一种生成导向的语言特征描述体系，采用译文生成和源文分析一体化的语言分析技术，使得译文生成能够充分利用源又分析过程中所用到的各种知识，准确地形成句子中各个成分的形态特征，并能有效地解决汉英机译译文生成中助动词 |
| 关键词: 汉英机器翻译 译文生成 |
| DOI： |
| 分类号: |
| 基金项目:本文研究得到国家自然科学基金和国家863高科技项目基金资助. |
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| MORPHOLOGIC GENERATION IN CHINESE-ENGLISH MACHINE TRANSLATION |
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HUANG Heyan,CHEN Zhaoxiong
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| Abstract: |
| In the development of a Chinese-English machine translation system, one of the kev Droblems is how to generate different morphologies of words(such as，the posses-sive and Dlural forms of noun，the past participial form of verb etc．)according to current context situation．In this paper，a SC grammar-based generation algorithm ior Chinese-English machine translation is proposed．In which，by designing a generation-driven lin-guistic feature description scheme and taking a unified language analysis approach of incor-porating the generation with parsing，through using various knowledge which is produced and used in parsing, it is possible to generate proper morphologic feature oi each compo-nent and to efficiently generate corresponding auxiliary verb and articles in sentence. |
| Key words: Chinese-English machine translation generation |
