Results 21 to 30 of about 45,590 (288)
Post-editing for the kazakh language using opennmt
Вестник КазНУ. Серия математика, механика, информатика, 2022 The modern world and our immediate future depend on applied intelligent systems, as new technologies develop every day. One of the tasks of intelligent systems is machine (automated) translation from one natural language to another.
D. R. Rakhimova +1 more
doaj +1 more source
A Comparative Study of English-Persian Translation of Neural Google Translation [PDF]
Iranian Journal of Applied Language Studies, 2017 Many studies abroad have focused on neural machine translation and almost all concluded that this method was much closer to humanistic translation than machine translation.
Mina Zand Rahimi +2 more
doaj +1 more source
Character-based Neural Machine Translation [PDF]
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2016 Accepted for publication at ACL ...
Ruiz Costa-Jussà, Marta +1 more
openaire +3 more sources
Survey of Neural Machine Translation Based on Knowledge Distillation [PDF]
Jisuanji kexue yu tansuoMachine translation (MT) is the process of using a computer to convert one language into another language with the same semantics. With the introduction of neural network, neural machine translation (NMT), as a powerful machine translation technology ...
MA Chang, TIAN Yonghong, ZHENG Xiaoli, SUN Kangkang
doaj +1 more source
Machine translation using natural language processing [PDF]
MATEC Web of Conferences, 2019 Machine Translation is the translation of text or speech by a computer with no human involvement. It is a popular topic in research with different methods being created, like rule-based, statistical and examplebased machine translation.
Rishita Middi Venkata Sai +2 more
doaj +1 more source
Automatic Post-editing of Hierarchical Attention Networks for Improved Context-aware Neural Machine Translation [PDF]
Journal of Artificial Intelligence and Data Mining, 2023 Most of the existing neural machine translation (NMT) methods translate sentences without considering the context. It is shown that exploiting inter and intra-sentential context can improve the NMT models and yield to better overall translation quality ...
M. M. Jaziriyan, F. Ghaderi
doaj +1 more source
JITeCS (Journal of Information Technology and Computer Science), 2022 People relatively use machine translation to learn any textual knowledge beyond their native language. There is already robust machine translation such as Google translate.
I Gede Bintang Arya Budaya +2 more
doaj +1 more source
Low-Resource Neural Machine Translation: A Systematic Literature Review
IEEE Access, 2023 In this study, a systematic literature review was conducted to examine the significant works in the literature on low-resource neural machine translation. Within the scope of the study, three research questions were identified to examine the low-resource
Bilge Kagan Yazar +2 more
doaj +1 more source
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: The project's novelty is not merely importing modules and preparing data and feeding the data to the model but understanding how the real language translation works and implementing the logics underlying each method utilized and creating every function from scratch, resulting in the creationof a Neural Machine Translation model.
openaire +1 more source
Scaling Neural Machine Translation [PDF]
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018 Sequence to sequence learning models still require several days to reach state of the art performance on large benchmark datasets using a single machine. This paper shows that reduced precision and large batch training can speedup training by nearly 5x on a single 8-GPU machine with careful tuning and implementation.
Ott, Myle +3 more
openaire +2 more sources