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2021 | OriginalPaper | Buchkapitel

English-Marathi Neural Machine Translation Using Local Attention

verfasst von : K. Adi Narayana Reddy, G. Shyam Chandra Prasad, A. Rajashekar Reddy, L. Naveen Kumar, Kannaiah

Erschienen in: Advanced Computing

Verlag: Springer Singapore

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Abstract

Machine translation, translates sentences from source language text to target language. NMT (Neural Machine Translation) is a machine translation mechanism based on deep learning. It has improved the weakness of the rule-based and statistical machine translation. In this paper, NMT is applied on parallel corpus pair English – Marathi. We’re proposing an NMT with a local attention mechanism. It is efficient and overcomes the OOV (Out Of Vocabulary) problem. The model performance is evaluated using the BLEU score. The results from the experiment confirm that the proposed model has outperformed the global attention mechanism and also Google translator.

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Titel: English-Marathi Neural Machine Translation Using Local Attention
verfasst von: K. Adi Narayana Reddy
G. Shyam Chandra Prasad
A. Rajashekar Reddy
L. Naveen Kumar
Kannaiah
Verlag: Springer Singapore
Buch: Advanced Computing
Print ISBN: 978-981-16-0400-3

Electronic ISBN: 978-981-16-0401-0

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-981-16-0401-0_21

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