Interlingual Machine Translation and the Lexicon

语际机器翻译和词典

• 批准号: 9120788
• 负责人: Bonnie Dorr
• 金额: $ 5.18万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-04-15 至 1994-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9120788&HistoricalAwards=false
• 关键词: Interlingual; Machine; Translation; Lexicon

This research is concerned with the applicability of a lexical- based framework to the problem of interlingual machine translation. There are two tasks relevant to this goal. The first task is the augmentation of an existing lexical-semantic representation to include temporal, aspectual, and spatial information, all of which are necessary for adequate machine translation. The second task is the construction of routines for automatic acquisition of lexical entries based on this representation. In general, the project aims to test hypotheses that support the view that a lexical-based parametric framework can be built to accommodate interlingual machine translation, and provide and adequate basis for capturing temporal, aspectual, and spatial information.

本研究关注的是词汇- 的框架来解决语际机器问题 翻译. 有两项任务与这一目标有关。 的 第一个任务是增强现有的词汇语义 表示，包括时间、方面和空间 信息，所有这些都是足够的机器所必需的 翻译. 第二个任务是建立例行程序， 自动获取词条的基础上， 表示. 总的来说，该项目旨在测试假设 支持基于词汇的参数框架 可以被构建以适应语际机器翻译，并且 为捕捉时间、方面和 空间信息