A Sublanguage Approach to Japanese-English Machine Translation

日英机器翻译的子语言方法

• 批准号: 8902269
• 负责人: Michiko Kosaka
• 金额: $ 10.61万
• 依托单位: Monmouth University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-08-15 至 1992-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8902269&HistoricalAwards=false
• 关键词: Sublanguage; Approach; Japanese; English; Machine

This machine translation research is joint work of Ralph Grishman at New York University, Michiko Kosaka at Monmouth College and Virginia Teller at Hunter College of CUNY. Progress in machine translation has been hampered by the lack of clear development methodologies. The goal of this work is the creation of such a methodology. These investigators suggest an approach based on the cross linguistic sublanguage analysis: the systematic collection and correlation of the patterns of work usage in the source and target languages (in this case, Japanese and English) for a particular subject domain. These comparative linguistic studies will be based on an operator argument formalism, which in most cases reduces corresponding English and Japanese sentences to structurally identical representations. The results of these studies can then be used to create a translation system, consisting of an analysis phase (creating operator argument trees), a transfer phase (based on the sublanguage patterns), and a generation phase (to synthesize target language sentences). A prototype system will translate computer manuals from Japanese into English.

这项机器翻译研究是由纽约大学的拉尔夫·格里什曼、蒙茅斯学院的小阪美智子和纽约州立大学亨特学院的弗吉尼亚·泰勒共同完成的。由于缺乏明确的开发方法，机器翻译的进展一直受到阻碍。这项工作的目标是创建这样一种方法。这些研究人员提出了一种基于跨语言亚语言分析的方法：系统地收集和关联特定学科领域的源语言和目标语言(在这里是日语和英语)中的工作使用模式。这些比较语言学研究将基于运算符论证形式主义，在大多数情况下，将对应的英语和日语句子简化为结构相同的表征。这些研究的结果可以被用来创建一个翻译系统，该系统由分析阶段(创建操作符论元树)、转换阶段(基于子语言模式)和生成阶段(合成目标语言句子)组成。一个原型系统将把计算机手册从日语翻译成英语。