A Study on Optimization of Support Vector Machine Classifier for Word Sense Disambiguation

Parameter optimization for machine-learning of word sense disambiguation

Kannada Word Sense Disambiguation for Machine Translation

Kannada Word Sense Disambiguation for Machine Translation

Polysemous Words can have more than one distinct meaning. Word sense disambiguation (WSD) is the ability to identify the exact meaning of such polysemous words in context in a computational manner. WSD is considered as an AI-complete problem, that is, a task whose solution is at least as hard as the most difficult problem in Artificial Intelligence. In this paper, we propose an Integrated Kanna...

Word Sense Disambiguation for Statistical Machine Translation

While much effort has been put in designing and evaluating Word Sense Disambiguation (WSD) models for translation in the WSD community, standard Statistical Machine Translation (SMT) systems have achieved remarkable improvements in translation quality without modeling WSD explicitly. However, inspecting SMT output suggests that SMT needs better semantic modeling to accurately translate meaning....

Kannada Word Sense Disambiguation for Machine Translation