Eletronic Materials For Natural Language Research

这一软件资本化项目是为了资助将作为计算语言学数据编码倡议一部分存在的在线文本数据重新格式化成基于SGML的通用格式，并以低成本和最少的限制向研究界提供。这是正在重新格式化的几个集合中的第一个。该项目使自然语言研究的规模扩大，从而可以研究更现实的问题。这与文本和语音的识别和分析中的应用特别相关。现有的普遍可用的文本数据库太小。获取足够的文本并使其可用于研究是昂贵和耗时的。对于个别研究人员来说，重复这一努力是浪费的。一个公共数据库将允许复制或扩展已发布的结果。这个项目是与其他NSF办公室和DARPA共同资助的。

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.