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

9314583 Dorr这个为期三年的奖项支持美国-法国马里兰大学和法国图卢兹纳博纳大学研究小组在交互系统（人/计算机）方面的合作研究。美国调查人员是Bonnie Dorr和Martha Palmer，法国调查人员是Patrick Saint-Dizier。他们将在法语和英语词汇表示方面进行合作。他们的研究目标是对主题角色和论点结构进行概念性描述。他们将强调机器翻译过程中词汇选择所必需的跨语言差异和意义成分。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。这个联合项目不仅会促进我们对这个问题的理解，而且可能会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。美国研究人员将词汇-语义表示方面的专业知识带入了这项合作。这是由Saint-Dizier博士在计算语言学方面的理论工作补充的。＊＊＊

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. ***