U.S.-France Cooperative Research: Development and Formalization of Lexical-Semantic Representations for Machine Translations

9314583 DOR这个为期三年的奖项支持马里兰大学和法国图卢兹纳邦大学研究小组在交互系统(人/计算机)方面的美法合作研究。美国调查人员是Bonnie Dorr和Martha Palmer，法国调查人员是Patrick Saint-Dizier。他们将就法语和英语的词汇表示法进行合作。他们的研究目标是对主题角色和论元结构进行概念性描述。他们将强调跨语言的区别和在机器翻译中进行词汇选择所必需的意义成分。当前的机器翻译系统在扩展到新的语言或领域时会遇到问题。这个联合项目不仅将促进我们对这个问题的理解，而且可能导致一个新的基于词汇的框架，可以应用于机器翻译、信息检索和自动词汇获取。美国调查人员将词汇-语义表征方面的专业知识带到了这次合作中。圣迪齐尔博士在计算语言学方面的理论工作补充了这一点。***

9314583 Dorr This three-year award supports U.S.-France cooperative research in interactive systems (human/computer) between research groups at the the University of Maryland and the University of Narbonne, Toulouse, France. The U.S. investigators are Bonnie Dorr and Martha Palmer, and the French investigator is Patrick Saint-Dizier. They will collaborate on topics concerning lexical representations for French and English. The objective of their research is to develop a conceptual description for thematic roles and argument structures. They will emphasize cross-linguistic distinctions and the meaning components which are necessary for lexical selection during machine translation. Current machine translation systems encounter problems when extended to new languages or domains. This joint project will not only advance our understanding of that problem, but is likely to lead to a new lexical based framework that can be applied to machine translation, information retrieval, and automatic lexical acquisition. The U.S. investigators bring to this collaboration expertise in lexical-semantic representation. This is complemented by Dr. Saint-Dizier's theoretical work in computational linguistics. ***