PDF] Reconciling fine-grained lexical knowledge and coarse-grained ontologies in the representation of near-synonyms

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.

General history of Africa, X: Africa and its diasporas

Investigation of the Interaction between the Large and Small Subunits of Potato ADP-Glucose Pyrophosphorylase – topic of research paper in Psychology. Download scholarly article PDF and read for free on CyberLeninka open

Evolvix BEST Names for semantic reproducibility across code2brain interfaces - Loewe - 2017 - Annals of the New York Academy of Sciences - Wiley Online Library

PDF) Ontology and the Lexicon

Chapter 18: Climate Resilient Development Pathways Climate Change 2022: Impacts, Adaptation and Vulnerability

Information Retrieval and Text Mining Technologies for Chemistry

Ambiguity and Engagement1 American Journal of Sociology: Vol 124, No 3

PDF] Near-synonymy and the structure of lexical knowledge

James Malone's Blog