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Computational Linguistic Distances and Big Data: Optimising the Speech Recognition Systems
Abstract
Linguistic distance has always been an inter-language issue, but English being a interwoven cluster of rhyming words, homophones, tenses etc., has turned linguistic distance into an intra-language unit to measure the similarity of sounds. In many theoretical and applied areas of computational linguistics i.e., Big Data, researchers operate with a notion of linguistic distance or, conversely, linguistic similarity has become the means to optimise speech recognition systems. The present research paper focuses on the mentioned lines as an attempt to turn the existing systems from delivering good performance to perfect performance, especially in the area of Big Data.
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