Attention-Based Neural Machine Translation Approach for Low-Resourced Indic Languages—A Case of Sanskrit to Hindi Translation-Reference-Cited by-同舟云学术

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Attention-Based Neural Machine Translation Approach for Low-Resourced Indic Languages—A Case of Sanskrit to Hindi Translation

Published:2021-09-04 Issue: Volume: Page:565-572
ISSN:2190-3018
Container-title:Smart Systems: Innovations in Computing
language:
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Author:

Bakarola Vishvajit,Nasriwala Jitendra

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2877-1_52

Reference13 articles.

1. Nelson, S.C., Rose, J.D.: Smart and Innovative Trends in Next Generation Computing Technologies, vol. 827. Springer Singapore (2018)

2. Woolner, C.: Introduction to Prakrit.pdf. University of the Panjab, Lahore (1917)

3. G. of India: Census of India 2011: Jharkhand (2011) [Online]. Available: http://censusindia.gov.in/2011Census/C-16_25062018_NEW.pdf

4. Eight Schedule under Article 344(1) and 351 of Constitution of India. Const. India, 344(1), 13–15

5. Uttarakhand Official Language Act. State Assembly, Government of Uttarakhand (2019)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Datasets of Human and AI Translation;Journal of Open Humanities Data;2024

2. Sequence to sequence automated model for Punjabi to Hindi machine translation;RECENT ADVANCES IN SCIENCES, ENGINEERING, INFORMATION TECHNOLOGY & MANAGEMENT;2023

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