A Model of Context Adapted to Domain-Independent Machine Translation

Authors:
Cathy Berthouzoz
Affiliations:
-
Venue:
CONTEXT '99 Proceedings of the Second International and Interdisciplinary Conference on Modeling and Using Context
Year:
1999

Citing 2
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Abstract

In this paper, we explore the integration of context into domain-independent machine translation based on a pseudosemantic approach. We choose a theory of discourse structure (SDRT) to provide the model of context. The incompatibility between the knowledge poor translation model with the knowledge rich discourse theory leads to supplement the first with some basic lexical semantics, and to replace the specific rules of the second with more general pragmatic principles. How contextual information is used to choose the preferred interpretation of globally ambiguous sentences is then described with two examples.