![]() Outperforms previous state-of-the-art methods by a significant margin forīangla spelling error correction. TheĮmpirical outcomes demonstrate the effectiveness of our approach that Resource limitation problem of any left-to-right scripted language. Method for large-scale corpus creation from scratch which in turn resolves the On denoising transformers by addressing previous issues. In this work, we propose a novel detector-purificator-corrector framework based Ineffective as they correct each character regardless of its appropriateness. In particular, machine learning-based approaches, whichĮxhibit superior performance to rule-based and statistical methods, are Rule-based, statistical, and machine learning-based methods which we found Earlier efforts on spellingĮrror correction in Bangla and resource-scarce Indic languages focused on It is at the crossroads of eastern, South, and Southeastern Asia, and Bengali culture was immensely enriched by those cosmopolitan encounters. The phonetically or visually similar yet semantically distinctĬharacters make it an arduous task in any language. The history of Bengali is marked by the diversity of the cultures that took part in its formation. Natural Language Processing because of numerous applications in human language It is a potential and active research topic in ![]() Authors: Mehedi Hasan Bijoy, Nahid Hossain, Salekul Islam, Swakkhar Shatabda Download PDF Abstract: Spelling error correction is the task of identifying and rectifying
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