Machine translation using deep learning for universal networking language based on their structure

Author:

Ali Md. Nawab Yousuf,Rahman Md. Lizur,Chaki Jyotismita,Dey Nilanjan,Santosh K. C.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference50 articles.

1. Wu Y, Schuster M, Chen Z, Le QV, Norouzi M, Macherey W et al (2016) Google's neural machine translation system: bridging the gap between human and machine translation. arXiv:1609.08144

2. Russell SJ, Norvig P (2016) Artificial intelligence: a modern approach. Pearson Education Limited, Malaysia

3. Karaa WBA, Ashour AS, Sassi DB, Roy P, Kausar N, Dey N (2016) Medline text mining: an enhancement genetic algorithm based approach for document clustering. In: Applications of intelligent optimization in biology and medicine. Springer, Cham, pp 267–287

4. Santosh KC, Nattee C (2009) A comprehensive survey on on-line handwriting recognition technology and its real application to the Nepalese natural handwriting. Kathmandu University J Sci Eng Technol 5(I):31–55

5. https://en.wikipedia.org/wiki/Google_Translate. Accessed 27 Jul 2019

Cited by 32 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. Exploration on Advanced Intelligent Algorithms of Artificial Intelligence for Verb Recognition in Machine Translation;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-08-08

2. Machine Automatic Translation Evaluation Based on Big Data Algorithms;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

3. Data Pre-Processing Framework for Kannada Vachana Sahitya;2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE);2024-05-16

4. Voice detection And Speech Translation Using Ensemble Inception v3 And Lstm;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

5. Systematic Review of Morphological and Semantic Analysis in a Low Resource Language;Advances in Computational Intelligence and Robotics;2024-02-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3