Interlingual Machine Translation and the Lexicon

本研究探讨了基于词法的框架在语际机器翻译问题中的适用性。有两项任务与这个目标相关。第一个任务是增强现有的词汇语义表示，使其包括时间、方面和空间信息，所有这些都是充分的机器翻译所必需的。第二个任务是基于该表示构建自动获取词汇条目的例程。总的来说，该项目旨在测试支持以下观点的假设：基于词汇的参数框架可以构建以适应语际机器翻译，并为捕获时间、方面和空间信息提供充分的基础。

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.