Eletronic Materials For Natural Language Research

用于自然语言研究的电子材料

• 批准号: 9113530
• 负责人: Mark Liberman
• 金额: $ 13.99万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-07-01 至 1993-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9113530&HistoricalAwards=false
• 关键词: Eletronic; Materials; Natural; Language; Research

This software capitalization project is to fund the reformatting of the online text data, which exists as part of the Association for Computational Linguistics Data Encoding Initiative, into a common SGML-based format and make it available to the research community at low cost and with minimal restrictions. This is the first of several collections which are being re-formatted. The project enables scaling up of natural language research so that more realistic problems can be studied. This is particularly relevant for applications in the recognition and analysis of text and speech. Existing generally-available text databases are too small. It is expensive and time consuming to obtain sufficient text and to make it usable for research. For individual researchers to duplicate this effort is wasteful. A common database will permit published results to be replicated or extended. There is joint funding for this project with other NSF offices and with DARPA.

这个软件资本化项目是为了资助重新格式化 在线文本数据，作为协会的一部分存在， 计算语言学数据编码计划， 通用的基于SGML的格式，并使其可用于研究 以低成本和最小的限制。 这是 第一个正在重新格式化的几个集合。 的 该项目能够扩大自然语言研究的规模， 可以研究更现实的问题。 这是特别 适用于文本识别和分析的应用 和演讲。 现有的通用文本数据库也 小了 获得足够的能量是昂贵和耗时的。 并使其可用于研究。 为个别 研究人员重复这种努力是浪费。 一个共同 数据库将允许复制已发布的结果，或者 延长 该项目与其他国家科学基金会联合资助。 办公室和DARPA。