Results 21 to 30 of about 221,770 (298)
Neural Machine Translation of Spanish-English Food Recipes Using LSTM
JOIV: International Journal on Informatics Visualization, 2022 Nowadays, food is one of the things that has been globalized, and everyone from different parts of the world has been able to cook food from other countries through existing online recipes.
Khen Dedes +5 more
doaj +1 more source
Mixed-Level Neural Machine Translation. [PDF]
Comput Intell Neurosci, 2020 Building the first Russian-Vietnamese neural machine translation system, we faced the problem of choosing a translation unit system on which source and target embeddings are based. Available homogeneous translation unit systems with the same translation unit on the source and target sides do not perfectly suit the investigated language pair.
Nguyen T, Nguyen H, Tran P.
europepmc +5 more sources
Interactive neural machine translation [PDF]
Computer Speech & Language, 2017 Despite the promising results achieved in last years by statistical machine translation, and more precisely, by the neural machine translation systems, this technology is still not error-free. The outputs of a machine translation system must be corrected by a human agent in a post-editing phase.
Peris Abril, Álvaro +2 more
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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
Huayang Li +4 more
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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.
David Grangier +3 more
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Variational Neural Machine Translation [PDF]
Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing, 2016 Models of neural machine translation are often from a discriminative family of encoderdecoders that learn a conditional distribution of a target sentence given a source sentence. In this paper, we propose a variational model to learn this conditional distribution for neural machine translation: a variational encoderdecoder model that can be trained end-
Hong Duan +4 more
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IoT-Based English Translation Teaching from the Perspective of Artificial Intelligence
International Journal of Antennas and Propagation, 2022 In recent years, with the development of artificial intelligence, the Internet of Things (IoT) has become a research hotspot in industry and academia. At the same time, as a derivative tool of artificial intelligence, machine translation based on the IoT
Dandan Liu
doaj +1 more source
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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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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Generalizing Back-Translation in Neural Machine Translation [PDF]
Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers), 2019 Published by Association for Computational Linguistics (ACL), Stroudsburg ...
Graça, Miguel M. +4 more
openaire +3 more sources