Results 21 to 30 of about 53,972 (305)
Deep Learning-Based English-Chinese Translation Research
Advances in Meteorology, 2022 Neural machine translation (NMT) has been bringing exciting news in the field of machine translation since its emergence. However, because NMT only employs single neural networks to convert natural languages, it suffers from two drawbacks in terms of ...
Yao Huang, Yi Xin
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Neural Machine Translation with Monolingual Translation Memory [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 ACL2021
Deng Cai 0002 +4 more
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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
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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
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Pre-Translation for Neural Machine Translation
CoRR, 2016 Recently, the development of neural machine translation (NMT) has significantly improved the translation quality of automatic machine translation. While most sentences are more accurate and fluent than translations by statistical machine translation (SMT)-based systems, in some cases, the NMT system produces translations that have a completely ...
Jan Niehues +3 more
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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
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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.
Myle Ott +3 more
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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
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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
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InDeep × NMT:Empowering Human Translators via Interpretable Neural Machine Translation [PDF]
, 2022 Neural machine translation (NMT) systems are nowadays essential components of professional translation workflows. Consequently, human translators are increasingly working as post-editors for machine-translated content.
Sarti, Gabriele; id_orcid +2 more
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