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    <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.</abstract>
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%0 Conference Proceedings
%T Developing knowledge bases for MT with linguistically motivated quality-based learning
%A Viegas, Evelyne
%S Proceedings of Machine Translation Summit VII
%D 1999
%8 sep 13 17
%C Singapore, Singapore
%F viegas-1999-developing
%X 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.
%U https://aclanthology.org/1999.mtsummit-1.53
%P 366-374

Markdown (Informal)

[Developing knowledge bases for MT with linguistically motivated quality-based learning](https://aclanthology.org/1999.mtsummit-1.53) (Viegas, MTSummit 1999)

• Developing knowledge bases for MT with linguistically motivated quality-based learning (Viegas, MTSummit 1999)

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.