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РецензированоEN2021

ADDRESSING NOISE ISSUES IN SENTENCE STRUCTURE FOR MORPHOLOGICAL ANALYSIS OF ENGLISH LANGUAGE SENTENCES FOR HINDI LANGUAGE USERS

HINDI LANGUAGE USERS

CURRENT RESEARCH JOURNAL OF PHILOLOGICAL SCIENCES · 04 · 308-314 · 2021

Аннотация

Morphological analysis is a fundamental task in natural language processing that involves breaking down words into their constituent morphemes to understand their grammatical structure and meaning. However, when morphological analysis is applied to English language sentences by Hindi language users, noise issues arise due to the syntactic and structural differences between the two languages. This study addresses these noise issues and proposes techniques to improve the accuracy of morphological analysis for English sentences processed by Hindi language users. By exploring methods to handle word order variations, phrasal differences, and other syntactic disparities, this research aims to enhance the effectiveness of morphological analysis tools for bilingual users and facilitate their comprehension of English language sentences. KEYWORDS Morphological analysis, noise issues, sentence structure, English language sentences, Hindi language users, natural language processing, bilingual users, word order variations, syntactic disparities, phrasal differences, grammatical structure, meaning, linguistic differences.

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«Morphological analysis is a fundamental task in natural language processing that involves breaking down words into their constituent morphemes to understand their grammatical structure and meaning.»

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Morphological analysis is a fundamental task in natural language processing that involves breaking down words into their constituent morphemes to understand their grammatical structure and meaning. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Morphological analysis, noise issues, sentence structure, English language sentences, Hindi language users
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