BaNeL: an encoder-decoder based Bangla neural lemmatizer

BaNeL: an encoder-decoder based Bangla neural lemmatizer

Abstract: This study presents an efficient framework of deriving lemma from an inflected Bangla word considering its parts-of-speech as context. Bangla is a morphologically rich Indo-Aryan language where around 70% words are inflected, and some words have around 90 different inflected forms making i...

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Bibliographic Details
Main Authors: Bhuiyan, M.T.I (Author), Islam, M.A (Author), Maruf, A.A (Author), Ovi, J.A (Author), Towhiduzzaman, M. (Author)
Format: Article
Language:English
Published: Springer Nature 2022
Subjects:
Abstracting
Bangla
Decoding
Encoder-decoder
Hyper-parameter
Language translation
Large dataset
Lemmatization
Lemmatizer
Natural language processing
Natural language processing systems
Network coding
Network-based
Part Of Speech
Performance
Recurrent neural network
Recurrent neural networks
Sequence to sequence
Statistical tests
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