Developing knowledge bases for MT with linguistically motivated quality-based learning

Evelyne Viegas


Abstract
In this paper we present a proposal to help bypass the bottleneck of knowledge-based systems working under the assumption that the knowledge sources are complete. We show how to create, on the fly, new lexicon entries using lexico-semantic rules and how to create new concepts for unknown words, investigating a new linguistically-motivated model to trigger concepts in context.
Anthology ID:
1999.mtsummit-1.53
Volume:
Proceedings of Machine Translation Summit VII
Month:
September 13-17
Year:
1999
Address:
Singapore, Singapore
Venue:
MTSummit
SIG:
Publisher:
Note:
Pages:
366–374
Language:
URL:
https://aclanthology.org/1999.mtsummit-1.53
DOI:
Bibkey:
Cite (ACL):
Evelyne Viegas. 1999. Developing knowledge bases for MT with linguistically motivated quality-based learning. In Proceedings of Machine Translation Summit VII, pages 366–374, Singapore, Singapore.
Cite (Informal):
Developing knowledge bases for MT with linguistically motivated quality-based learning (Viegas, MTSummit 1999)
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PDF:
https://aclanthology.org/1999.mtsummit-1.53.pdf