U.S.-Netherland Cooperative Research in Linquistics: Polyadic Quantification and Reciprocals

该奖项支持Stanley Peters教授和他在斯坦福大学的研究小组的三名初级成员与荷兰阿姆斯特丹大学语言、逻辑和计算研究所的Frank Veltman教授和其他人合作进行语言学研究。他们正在研究信息内容和信息对等的抽象方面，以“倒数”概念（美国小组的专业知识）和“多元量词”（用于定义倒数的逻辑工具）为中心（这是荷兰小组的专业知识领域）。 斯坦福大学的研究小组以互反句为例，对句法表征和语义解释之间的关系进行了比较研究。该荷兰集团是一个欧洲财团的一部分，该财团将对信息动态性质的新理解应用于自然语言的解释。 动态解释变得越来越重要，不仅在语言学中，而且在计算机科学和人工智能中。 这项研究为美国参与者提供了一个更大的区域性欧洲合作项目，名为DYANA（“自然语言的动态解释”），由欧洲委员会资助，该项目汇集了欧洲语言和信息处理基础方面的一些最重要的学者。 这个相对集中的美国-荷兰的研究合作旨在成为未来更广泛和更长期合作的起点。他们的共同目标是发展信息理论，可以应用于语言和计算研究的各个领域。 他们的研究结果可能会产生深远的影响，不仅对自然语言的研究，而且对计算机语言的分析和设计。

This award supports Professor Stanley Peters and three junior members of his research group at Stanford University to collaborate in linguistics research with Professor Frank Veltman and others of the Institute for Language, Logic and Computation of the University of Amsterdam, The Netherlands. They are studying abstract aspects of information content and informational equivalence, centering on the concept of `reciprocals` (the expertise of the US group) and `polyadic quantifiers` the logical tools used to define reciprocals (which is the area of expertise of the Dutch group.) The Stanford group has undertaken a comparative study of the nature of the relation between syntactic representation and semantic interpretation, taking reciprocals as a case study. The Dutch group is part of a European consortium applying new understanding of the dynamic nature of information to the interpretation of natural language. Dynamic interpretation is becoming increasingly important, not only in linguistics, but also in computer science and artificial intelligence. This research provides US participants access to a larger regional European collaborative project named DYANA (`Dynamic Interpretation of Natural Language`) funded by the European Commission, which brings together some of the most important scholars in the foundations of language and information processing in Europe. This relatively focused U.S.-Dutch research collaboration is intended to be the starting point for a broader and longer-term collaboration in the future. Their mutual goal is to develop theories of information that can be applied in a variety of areas within the study of language and computation. The results of their research are likely to have far reaching implications, not only for the study of natural languages, but also for the analysis and design of computer languages.