A Genetic Algorithm Based Approach for Hindi Word Sense Disambiguation

A Review on Word Sense Disambiguation Emphasizing the Data Resources on Wordnet and Corpus

“…For testing the performance of the system, a 5 fold crossvalidation technique was used in the test set samples. Athaiya et.al [22] used a very unique algorithm called Genetic Algorithm, which is based on Darwin's theory for disambiguating the Hindi polysemous words using Hindi WordNet. Here, the result of overlapping of context and sense bag was used as an input to the Genetic algorithm, wherein the fitness of the population generated(consisting of n chromosome) was tested and the best fitted gene(sense) in the population was used for crossover & mutation and offsprings generated was taken as a new population.…”

“…Knowledge based approach: While solving major NLP applications like machine translation and document classification which refers to just the outer knowledge of the text, one also need to acquire the hidden meaning of the text. Knowledge about the text and the domain of discourse play a vital role in understanding the text meaning, which Knowledge based NLP system using its various methods will further represent and implement this knowledge to solve NLP problems such as ambiguity resolution [22]. Any little piece of information can be seen as a group of cues which comprises of words, its inflection, its order etc [28].…”

Adapted Lesk Algorithm based Word Sense Disambiguation using the Context Information

“…Word sense disambiguation in Hindi language is limited. Anidhya Athaiya et al [11] have approached Hindi language based word sense disambiguation that is genetic algorithm based. The proposed window is dynamic and feature of this window is containing vague word with left and right expression.…”

“…The proposed window is dynamic and feature of this window is containing vague word with left and right expression. The possible senses of an ambiguous Hindi word can be extracted from Hindi WordNet that is created by the IIT, Bombay as in [11].…”