Abstract
In knowledge-based machine translation (KBMT), the lexicon can be specified and acquired only in close connection with the specification and acquisition of the world model (ontology) and the specification of the text meaning representation (interlingua) language. The former supplies the atoms for the specification of text meaning and provides world knowledge to support the inference processes necessary for a variety of disambiguation and meaning assignment operations. The latter is necessary for the formulation of the semantic zone of the lexicon entries, which can be viewed as containing the static building blocks of the text meaning representation. This is the view taken in the Mikrokosmos KBMT project.
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Onyshkevich, B., Nirenburg, S. A lexicon for knowledge-based MT. Mach Translat 10, 5–57 (1995). https://doi.org/10.1007/BF00997231
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DOI: https://doi.org/10.1007/BF00997231