Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Cheol-Young Ock"'
Publikováno v:
IEEE Access, Vol 7, Pp 32602-32616 (2019)
Although deep neural networks have recently led to great achievements in machine translation (MT), various challenges are still encountered during the development of Korean-Vietnamese MT systems. Because Korean is a morphologically rich language and
Externí odkaz:
https://doaj.org/article/3433d3f215e94d2ea691701db4c2b0ac
Publikováno v:
IEEE Access, Vol 6, Pp 5415-5426 (2018)
Determining a consensus opinion on a product sold online is no longer easy, because assessments have become more and more numerous on the Internet. To address this problem, researchers have used various approaches, such as looking for feelings expres
Externí odkaz:
https://doaj.org/article/1919087ddf3a479a9b3d0d9957133107
Publikováno v:
IEEE Access, Vol 6, Pp 38512-38523 (2018)
With the advent of robust deep learning, neural machine translation (NMT) has achieved great progress and recently become the dominant paradigm in machine translation (MT). However, it is still confronted with the challenge of word ambiguities that f
Externí odkaz:
https://doaj.org/article/00017d67480c4314a41af376f01f0239
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11119 (2021)
With the recent evolution of deep learning, machine translation (MT) models and systems are being steadily improved. However, research on MT in low-resource languages such as Vietnamese and Korean is still very limited. In recent years, a state-of-th
Externí odkaz:
https://doaj.org/article/504330e2603c43058f5e15a0cf6531b5
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3904 (2020)
Machine translation (MT) has recently attracted much research on various advanced techniques (i.e., statistical-based and deep learning-based) and achieved great results for popular languages. However, the research on it involving low-resource langua
Externí odkaz:
https://doaj.org/article/271d253623e1478182d5cb0979d0906f
Publikováno v:
2022 14th International Conference on Knowledge and Systems Engineering (KSE).
Publikováno v:
IEICE Transactions on Information and Systems. :866-873
Publikováno v:
Journal of KIISE. 46:1174-1185
Publikováno v:
Applied Intelligence. 50:663-680
The rapid development of e-commerce gives researchers confidence that customers will be willing to share more and more online data, which in turn, would allow for improved mining algorithms. Many companies also foresee vast profits in mining data fro
Publikováno v:
Applied Sciences, Vol 10, Iss 3904, p 3904 (2020)
Applied Sciences
Volume 10
Issue 11
Applied Sciences
Volume 10
Issue 11
Machine translation (MT) has recently attracted much research on various advanced techniques (i.e., statistical-based and deep learning-based) and achieved great results for popular languages. However, the research on it involving low-resource langua