U.S.-France Cooperative Research: Construction of Large- Scale Lexical and Textual Database
U.S.-France Cooperative Research: Construction of Large- Scale Lexical and Textual Database
批准号:
9016554
负责人:
Nancy Ide
金额:
$1.18万
依托单位:
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
项目状态:
已结题
起止时间:
1991-03-01 至 1994-08-31
中文摘要
该奖项将支持博士之间的合作研究。 Nancy Ide,Vassar学院和Jean Veronis博士,Groupe Representation et Traitement des Connaissances,法文 法国马赛国家科学研究中心。 该项目的目标是建设一个大型的- 从机器可读的词汇和文本数据库扩展 法语和英语的材料,目的是提取 可用于自动语言处理的信息 任务 一些法文和英文的机读材料, 包括排字机格式的词典, 语料库和其他语言数据,已获得的 项目并安装在每个站点。软件工具已经 开发来构建、访问和分析这些数据, 利用兼容的硬件和软件系统, 使其能够在两个地点使用。 该项目涉及 研究的三个途径:1)机器的结构 可读的字典和其他语言学数据, 一致性词汇库; 2)机器- 来自字典定义文本的可用知识, 自然语言理解和生成; 3) 从词典文本构建大型神经网络 并尝试用这些网络进行语言分析 任务,如词义消歧。 该项目将 从两个投资的互补专业知识中受益- 词汇数据库中的gator和本研究的结果 可能会对以下领域做出重大贡献 词典编纂和机器翻译。
英文摘要
This award will support collaborative research between Dr. Nancy Ide, Vassar College, and Dr. Jean Veronis, Groupe Representation et Traitement des Connaissances, French National Center for Scientific Research, Marseille, France. The objective of the project is the construction of a large- scale lexical and textual database from machine-readable materials in French and English, with the goal of extracting information that can be used for automatic language processing tasks. A number of machine-readable materials in French and English, including dictionaries in typesetter's format, but also corpora and other linguistic data, have been acquired by the project and installed at each site. Software tools have been developed to structure, access and analyze these data, utilizing compatible hardware and software systems in order to enable their use in both locations. The project involves three avenues of research: 1) the structuring of machine readable dictionaries and other linguistics data into a consistent lexical database, 2) the extraction of machine- usable knowledge from dictionary definition texts for use in natural language understanding and generation and 3) the construction of large neural networks from dictionary texts and experimentation with these networks for language analytic tasks, such as word sense disambiguation. The project will benefit from the complementary expertise of the two investi- gators in lexical database and the results of this research may make a significant contribution to the fields of lexicography and machine translation.
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依托单位:
海外基金