Machine Tractable Dictionaries as Tools and Resources for Natural Language Processing

这项研究为建立语言知识库的全自动化系统开发了软件组件。所产生的知识库被构造为与用于处理自然语言的计算机系统(例如，自然语言理解、自然语言生成和自然语言翻译系统)兼容。知识获取系统不需要广泛的人工干预或“知识工程”，而是从标准文本输入建立知识库，如传统词典(其中许多词典正在以机器可读的形式提供)。最初的工作将是与朗曼当代英语词典合作。)这项研究的意义在于，自然语言处理系统，对于机器翻译、用户界面和基于知识的系统，必须包含关于真实世界中单词及其含义的广泛知识。这项工作是对从现有文本来源(如词典、百科全书)中找到和建立必要知识的程度的重要探索。生成的词汇/语义知识库旨在广泛使用，既用于应用程序，也用于自然语言处理研究界的进一步科学调查。

This research develops software components for a fully automated system for building knowledge bases about language. The knowledge bases produced are structured to be compatible with computer systems for processing natural language (natural language understanding, natural language generation, and natural language translation systems, for example). The knowledge-acquisition system does not require extensive human intervention or "knowlege engineering," but builds the knowledge base from standard text input, such as conventional dictionaries (many of which are becoming available in machine-readable form. Initial work will be with the Longman's Dictionary of Contemporary English.) The significance of this research is that natural language processing systems, for machine translation, user interfaces, and knowledge based systems, must incorporate extensive knowledge about words and their meanings in the real world. This work is an important exploration of the extent to which the necessary knowledge may be found and built from existing text sources (e.g. dictionaries, encyclopedias). The lexical/semantic knowledge bases generated are intended for widespread utilization, both for applications and for further scientific investigation by the natural language processing research community.