Abstract
This paper presents a new approach for resolving lexical ambiguities in one language using statistical data on lexical relations in another language. This approach exploits the differences between mappings of words to senses in different languages. We concentrate on the problem of target word selection in machine translation, for which the approach is directly applicable, and employ a statistical model for the selection mechanism. The model was evaluated using two sets of Hebrew and German examples and was found to be very useful for disambiguation.
Original language | English |
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Pages (from-to) | 130-137 |
Number of pages | 8 |
Journal | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
Volume | 1991-June |
State | Published - 1991 |
Externally published | Yes |
Event | 29th Annual Meeting of the Association for Computational Linguistics, ACL 1991 - Berkeley, United States Duration: 18 Jun 1991 → 21 Jun 1991 |
Bibliographical note
Publisher Copyright:© 1991 Proceedings of the Annual Meeting of the Association for Computational Linguistics. All rights reserved.