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

小行星9314583 这个为期三年的奖项支持美国-法国马里兰州大学和法国图卢兹纳博讷大学研究小组之间的交互系统（人/计算机）合作研究。 美国调查人员是邦妮·多尔和玛莎·帕尔默，法国调查人员是帕特里克圣迪齐耶。 他们将在法语和英语词汇表征方面进行合作。 他们的研究目标是对主位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意义组件，这是必要的机器翻译过程中的词汇选择。 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推进我们对这个问题的理解，而且很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。 美国的研究人员为这项合作带来了词汇语义表征方面的专业知识。 圣迪齐耶博士在计算语言学方面的理论工作对此进行了补充。 ***

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. ***