Abstract
This paper presents some research results and a demo implementation of a knowledge-based Machine Aided Translation (MAT) system supporting the translation process with the necessary linguistic and conceptual knowledge. Conceptual Graphs (CGs) were chosen as a knowledge representation formalism since they provide formal structures and operations suitable for representing and processing of terminological knowledge. We employ the CG operations to extract relevant knowledge with a flexible granularity. The paper describes all system components from a CG perspective and their interaction hidden under the user-friendly interface.
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© 1996 Springer-Verlag Berlin Heidelberg
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Angelova, G., Bontcheva, K. (1996). DB-MAT: Knowledge acquisition, processing and NL generation using conceptual graphs. In: Eklund, P.W., Ellis, G., Mann, G. (eds) Conceptual Structures: Knowledge Representation as Interlingua. ICCS 1996. Lecture Notes in Computer Science, vol 1115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61534-2_7
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DOI: https://doi.org/10.1007/3-540-61534-2_7
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