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of 56
pro vyhledávání: '"Kumar M Anand"'
Computer-aided medical image analysis plays a significant role in assisting medical practitioners for expert clinical diagnosis and deciding the optimal treatment plan. At present, convolutional neural networks (CNN) are the preferred choice for medi
Externí odkaz:
http://arxiv.org/abs/2108.08467
Akademický článek
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Tree adjoining grammar (TAG) is specifically suited for morph rich and agglutinated languages like Tamil due to its psycho linguistic features and parse time dependency and morph resolution. Though TAG and LTAG formalisms have been known for about 3
Externí odkaz:
http://arxiv.org/abs/1604.01235
Machine Translation is one of the major oldest and the most active research area in Natural Language Processing. Currently, Statistical Machine Translation (SMT) dominates the Machine Translation research. Statistical Machine Translation is an approa
Externí odkaz:
http://arxiv.org/abs/1409.8581
Publikováno v:
In Engineering Science and Technology, an International Journal April 2019 22(2):637-645
Akademický článek
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Publikováno v:
Journal of Intelligent Systems, Vol 28, Iss 3, Pp 455-464 (2019)
In recent years, the multilingual content over the internet has grown exponentially together with the evolution of the internet. The usage of multilingual content is excluded from the regional language users because of the language barrier. So, machi
Externí odkaz:
https://doaj.org/article/0e2919b3adb848f0b5dc48cccc57aa16
Publikováno v:
Journal of Intelligent Systems, Vol 28, Iss 3, Pp 423-435 (2019)
The paper addresses the problem of part-of-speech (POS) tagging for Malayalam tweets. The conversational style of posts/tweets/text in social media data poses a challenge in using general POS tagset for tagging the text. For the current work, a tagse
Externí odkaz:
https://doaj.org/article/416d5b85ed7f48439b8fcff3fae6f10e
Publikováno v:
Journal of Intelligent Systems, Vol 28, Iss 3, Pp 387-398 (2019)
Introduction of deep neural networks to the machine translation research ameliorated conventional machine translation systems in multiple ways, specifically in terms of translation quality. The ability of deep neural networks to learn a sensible repr
Externí odkaz:
https://doaj.org/article/204e65505ed1443386d8a7cd7c0b8c33
Publikováno v:
In Procedia Computer Science 2018 132:47-54