Presidential Faculty Fellowship/Presidential Early Career Awards for Scientists and Engineers (PFF/PECASE)

总统教员奖学金/总统科学家和工程师早期职业奖（PFF/PECASE）

• 批准号: 9629108
• 负责人: Bonnie Dorr
• 金额: $ 20万
• 依托单位: University of Maryland, College Park
• 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: 1997-06-01 至 2001-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9629108&HistoricalAwards=false
• 关键词: Presidential; Faculty; Fellowship; Early; Career

The project is oriented to demonstrate the use of a lexical-based parametric framework to accommodate automatic dictionary construction and to support a broad range of cross-linguistic phenomena. This effort not only provides a viable solution to resolving cross-linguistic distinctions in the context of a large-scale MT effort, capturing spatial, temporal, and aspectual knowledge, but also reduces the time for the development of large scale machine translation (MT) systems. The first task consists of determining the procedures for the automatic dictionary support for MT, with demonstration of its use to languages other than English such as Arabic and Korean. A second task consists of the extension of an existing MT model to include a broader range of different linguistic phenomena through an interlingua which accommodates the compositional derivation of spatial relations. A final task is the extension of current lexical-semantic representation to include temporal and aspectual knowledge.

该项目是面向演示使用基于词汇的参数 框架 以适应 自动 词典建设和支持广泛的跨语言现象。 这项工作不仅为解决大规模机器翻译工作中的跨语言差异提供了一个可行的解决方案，捕获空间，时间和方面的知识，而且还减少了大规模机器翻译（MT）系统的开发时间。 第一个任务是确定机器翻译的自动词典支持程序，并演示其对英语以外的语言（如阿拉伯语和韩语）的使用。 第二项任务包括扩展现有的机器翻译模型，以通过中间语包括更广泛的不同语言现象， 容纳空间关系的成分推导。 一 最终 任务是扩展 的 当前的词汇语义表示，包括时间和方面的知识。