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of 21
pro vyhledávání: '"Thayasivam, Uthayasanker"'
Autor:
Wijesinghe, Thejan, Abeysinghe, Chamath, Wijayakoon, Chanuka, Jayathilake, Lahiru, Thayasivam, Uthayasanker
We develop an automated video colorization framework that minimizes the flickering of colors across frames. If we apply image colorization techniques to successive frames of a video, they treat each frame as a separate colorization task. Thus, they d
Externí odkaz:
http://arxiv.org/abs/2305.13704
The performance of Neural Machine Translation (NMT) depends significantly on the size of the available parallel corpus. Due to this fact, low resource language pairs demonstrate low translation performance compared to high resource language pairs. Th
Externí odkaz:
http://arxiv.org/abs/2202.08882
Most low-resource languages do not have the necessary resources to create even a substantial monolingual corpus. These languages may often be found in government proceedings but mainly in Portable Document Format (PDF) that contains legacy fonts. Ext
Externí odkaz:
http://arxiv.org/abs/2109.05952
Offensive Language detection in social media platforms has been an active field of research over the past years. In non-native English spoken countries, social media users mostly use a code-mixed form of text in their posts/comments. This poses sever
Externí odkaz:
http://arxiv.org/abs/2108.10939
The rapid growth of ride-hailing platforms has created a highly competitive market where businesses struggle to make profits, demanding the need for better operational strategies. However, real-world experiments are risky and expensive for these plat
Externí odkaz:
http://arxiv.org/abs/2104.02661
In this paper, we present an experiment on using deep learning and transfer learning techniques for emotion analysis in tweets and suggest a method to interpret our deep learning models. The proposed approach for emotion analysis combines a Long Shor
Externí odkaz:
http://arxiv.org/abs/2012.06025
Autor:
Pathirana, Nadeesha, Seneviratne, Sandaru, Samarawickrama, Rangika, Wolff, Shane, Chitraranjan, Charith, Thayasivam, Uthayasanker, Ranasinghe, Tharindu
Concept identification is a crucial step in understanding and building a knowledge base for any particular domain. However, it is not a simple task in very large domains such as restaurants and hotel. In this paper, a novel approach of identifying a
Externí odkaz:
http://arxiv.org/abs/1906.05039
Publikováno v:
2019 National Information Technology Conference (NITC).
There are several types of research available on spell checkers for European languages and Indian languages. However, low resourced languages like Tamil & Sinhala have limited research in this problem space, maybe, because of its highly inflectional
Publikováno v:
ACM International Conference Proceeding Series; 6/19/2020, p86-92, 7p
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