A memory based approach to word sense disambiguation in Bengali using k-NN method
Word Sense Disambiguation (WSD) is an important and challenging task in the area of
Natural Language Processing (NLP) where the task is to find the correct sense of an …
Natural Language Processing (NLP) where the task is to find the correct sense of an …
[PDF][PDF] Utilizing corpus statistics for hindi word sense disambiguation.
Word Sense Disambiguation (WSD) is the task of computational assignment of correct sense
of a polysemous word in a given context. This paper compares three WSD algorithms for …
of a polysemous word in a given context. This paper compares three WSD algorithms for …
A supervised approach on Gurmukhi word sense disambiguation using K-NN method
The primary objective of Natural Language Processing (NLP) is to ensure that
communication is established between the human and the machine. An ambiguous word is …
communication is established between the human and the machine. An ambiguous word is …
Evaluation of the ambiguity caused by the absence of diacritical marks in Arabic texts: statistical study
This work falls within the framework of the Natural Language Processing. Its objective is to
assess the level of ambiguity caused by the absence of diacritical marks in Arabic texts …
assess the level of ambiguity caused by the absence of diacritical marks in Arabic texts …
Word sense disambiguation: Supervised program interpretation methodology for Punjabi language
Word Sense Disambiguation (WSD) is the capability of finding the right interpretation of the
given word in the given context through computation. Punjabi is among one of the 10 most …
given word in the given context through computation. Punjabi is among one of the 10 most …
[PDF][PDF] Word sense ambiguity: A survey
In natural language processing (NLP), word sense disambiguation (WSD) is defined as the
task of assigning the appropriate meaning (sense) to a given word in a text or discourse …
task of assigning the appropriate meaning (sense) to a given word in a text or discourse …
Name disambiguation analysis using the word sense disambiguation method in hadith
Name disambiguation is the problem solving process to find similar names in sentences.
The ambiguity of names can be found in hadith of Sahih Bukhari, names" Abdullah bin …
The ambiguity of names can be found in hadith of Sahih Bukhari, names" Abdullah bin …
Word sense disambiguation for Amharic sentences using wordNet hierarchy
M Mulugeta - 2020 - ir.bdu.edu.et
Word Sense disambiguation (WSD) is an important application which can be integrated with
different NLP applications for better performance. The presence of different types of …
different NLP applications for better performance. The presence of different types of …
Investigating text power in predicting semantic similarity
This article presents an empirical evaluation to investigate the distributional semantic power
of abstract, body and full-text, as different text levels, in predicting the semantic similarity …
of abstract, body and full-text, as different text levels, in predicting the semantic similarity …
[PDF][PDF] Word Sense Disambiguation: A Briefly Survey
K Kaye, WT Aung - International Journal of Computer & Communication …, 2013 - Citeseer
Abstract− Nowadays, Word sense disambiguation (WSD) is an important technique for many
NLP applications such as machine translation, grammatical analysis, content analysis and …
NLP applications such as machine translation, grammatical analysis, content analysis and …