A Sublanguage Approach to Japanese-English Machine Translation

这项机器翻译研究是由纽约大学的拉尔夫·格里什曼、蒙茅斯学院的小坂美智子和纽约市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。这些研究者提出了一种基于跨语言子语言分析的方法：系统地收集和关联特定主题领域的源语言和目标语言（在本例中为日语和英语）中的单词使用模式。这些比较语言学研究将基于一种算子论证形式主义，这种形式主义在大多数情况下将相应的英语和日语句子简化为结构相同的表示。这些研究的结果可以用来创建一个翻译系统，该系统由分析阶段（创建算子参数树）、迁移阶段（基于子语言模式）和生成阶段（合成目标语言句子）组成。一个原型系统将把电脑手册从日语翻译成英语。

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 word 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.