Abstract
This paper introduces Boas, a semi-automatic knowledge elicitation system that guides a team of two people through the process of developing the static knowledge sources for a moderate-quality, broad-coverage MT system from any "low-density" language into English in about six months. The paper focuses on some issues in the elicitation of descriptive knowledge in Boas and also the issue of the principled reuse of pre-existing resources, such as a lexicon, an ontology, and an English generation module, among others, made possible by the fact that the client MT system is developed for a single target language.
Cite
CITATION STYLE
Nirenburg, S., & Raskin, V. (1998). Universal Grammar and lexis for quick ramp-up of MT systems. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 2, pp. 975–979). Association for Computational Linguistics (ACL). https://doi.org/10.3115/980691.980729
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