Examining lexical and grammatical diﬃculties in Bengali language using NLP with machine learning

Examining lexical and grammatical diﬃculties in Bengali language using NLP with machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Afroz, Sazia, Susmoy, M. Samiur Rahman, Anjum, Farhan, Nowshin, Nadiya
Rannpháirtithe:	Akhond, Mostaﬁjur Rahman
Formáid:	Tráchtas
Teanga:	English
Foilsithe / Cruthaithe:	Brac University 2021
Ábhair:	STT NLP HMM PocketSphinx Speech recognizer Grammatical analyzer Contextual analyzer Machine Learning
Rochtain ar líne:	http://hdl.handle.net/10361/15317

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Research report on Bengali NLP engine for TTS
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Big Data implementation in the tourism industry with the integration of Singular Value Decomposition (SVD)
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An effective infrastructure for pocket switch network
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Real time bengali speech to text conversion using CMU sphinx
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Grammatical change

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Retrospecting genocide: Awakening the existence of Zinzira Bazar
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Determinants of health seeking behavior for chronic non-communicable diseases and related out-of-pocket expenditure: results from a cross-sectional survey in northern Bangladesh
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Social interest based routing algorithm for pocket switched network
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Automated short answer scoring
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Lexical Meaning
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Chinese Lexical Semantics
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Prediction of anxiety and depression among the transgender in Bangladesh
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Reading the Difficulties
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Analyzing CV/resume using natural language processing and machine learning
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Detecting sarcasm in Bengali comments using NLP
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Sentiment analysis in Bengali Text using NLP
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Affective social anthropomorphic intelligent system
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Lexical diversity and language development : quantification and assessment /
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Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
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