STIMULATE: Tools for Lexicon Building

STIMULATE：词典构建工具

• 批准号: 9618838
• 负责人: Charles Fillmore
• 金额: $ 75.7万
• 依托单位: International Computer Science Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-03-01 至 2000-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9618838&HistoricalAwards=false
• 关键词: STIMULATE; Tools; Lexicon; Building

Tools for Lexicon Building" project is preparing a lexical database for English called "Framenet" built on abundant corpus evidence and formulated on the principles of frame semantics. It will be freely available to researchers in several formats, including one that can serve as an accessory to WordNet. The primary deliverable is a highly relational "starter" lexicon containing 5,000 entries covering major semantic domains. Each database entry is associated with the semantic frame in which it participates, and annotated with respect to how it constellates with the elements of that frame, both morphosyntactically and semantically. Entries will also list examples taken from the corpus showing the range of the word's use, including relative frequency data. Another significant development of the project is a set of high-performance computational tools for corpus research, annotation, and analysis (some of which are being developed in collaboration with colleagues in Europe) which will be made available to the research community. The resulting facility, which incorporates both linguistic-semantic and lexicographic techniques, will be valuable to human users of both printed and online works and also to researchers exploring natural language processing, speech recognition, and the complex problems of language understanding.

词汇建设工具”项目正在准备一个名为“框架网”的英语词汇数据库，该数据库建立在丰富的语料库证据基础上，并根据框架语义学的原则制定。 它将以几种格式免费提供给研究人员，包括一种可以作为WordNet附件的格式。 主要交付成果是一个高度相关的“入门”词典，包含5,000个条目，涵盖主要语义领域。 每个数据库条目都与它所参与的语义框架相关联，并且关于它如何在形态句法和语义上与该框架的元素聚集而被注释。 本书还将列出从语料库中提取的例子，显示该词的使用范围，包括相对频率数据。 该项目的另一个重要发展是一套用于语料库研究，注释和分析的高性能计算工具（其中一些正在与欧洲的同事合作开发），将提供给研究界。 由此产生的设施， 这 结合了语言语义 和词典技术，将是有价值的人类用户的印刷和在线作品，也研究人员探索自然语言处理，语音识别，和复杂的问题的语言理解。