PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms
Por um escritor misterioso
Last updated 02 junho 2024
A new model for representing fine-grained lexical knowledge whose basis is the idea of granularity of representation is discussed. A machine translation system must be able to adequately cope with near-synonymy for there are often many slightly different translations available for any given source language word that can each significantly and differently affect the meaning or style of a translated text. Conventional models of lexical knowledge used in natural-language processing systems are inadequate for representing near-synonyms, because they are unable to represent fine-grained lexical knowledge. We will discuss a new model for representing fine-grained lexical knowledge whose basis is the idea of granularity of representation.
Formal Ontology in Information Systems: Proceedings of The 10th International Conference (FOIS 2018), PDF, Ontology (Information Science)
10.1007@978 3 030 41407 8, PDF, Cognition
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