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Intelligent machine translation using a contextual knowledge representation

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1 Author(s)
Aoe, J.-I. ; Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan

A contextual knowledge representation is introduced to propose a variety of expressions (i.e. skeleton, paraphrase, diagram, etc.) of a target language in an intelligent machine translation system. This contextual knowledge representation is supported by two methodologies. One is a coherent analysis using explicit and implicit clue words. These clues can suggest important expressions to be summarized in the source documents. The second is a more powerful semantic representation of lexicons. Word modifications by morphology are utilized for grouping derivatives with the same stem into one frame, called a derivation frame, and only the specific semantic stem is linked to the knowledge bases representing semantics of lexicons

Published in:

Tools for Artificial Intelligence, 1989. Architectures, Languages and Algorithms, IEEE International Workshop on

Date of Conference:

23-25 Oct 1989