Confusion matrices for test data for deep learning models (a) GRU classifier (b) LSTM classifier (c) RNN classifier.

<p>Confusion matrices for test data for deep learning models (a) GRU classifier (b) LSTM classifier (c) RNN classifier.</p>

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Bibliographic Details
Main Author:	Umme Ayman (22103987) (author)
Other Authors:	Md. Nahid Hasan (20883644) (author), Ms. Nusrat Khan (22103990) (author), Ms. Chayti Saha (22103993) (author), Md. Fayejullah (22103996) (author)
Published:	2025
Subjects:	Sociology Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified rigorous preprocessing techniques preserve linguistic integrity gated recurrent unit experimental results demonstrate bengalitensecorpus &# 8221 500 manually collected stacked ensemble model stacked ensemble framework three tense classes strong performance benchmark intelligent writing tools deep learning methods bengali verb morphology 0 ), past meticulously labelled sentences support vector machine bangla language models language learning bengali sentences well ensemble writing assistance lstm ), incorporating tense improve performance based models sentences gathered xgboost classifier work presents term memory study addresses sentiment analysis sentence generation random forest neural network navigating tenses long short grammar correction grammar assistance first large findings highlight exploring transformer comprising 13 classification accuracy based systems bangla nlp 2 ).
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