Results 31 to 40 of about 240,752 (266)
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
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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.
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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.
Ott, Myle +3 more
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Neural Name Translation Improves Neural Machine Translation [PDF]
, 2019 In order to control computational complexity, neural machine translation (NMT) systems convert all rare words outside the vocabulary into a single unk symbol. Previous solution (Luong et al. [1]) resorts to use multiple numbered unks to learn the correspondence between source and target rare words.
Xiaoqing Li +3 more
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Lexical Diversity in Statistical and Neural Machine Translation
Information, 2022 Neural machine translation systems have revolutionized translation processes in terms of quantity and speed in recent years, and they have even been claimed to achieve human parity.
Mojca Brglez, Špela Vintar
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Chinese–Spanish neural machine translation enhanced with character and word bitmap fonts [PDF]
, 2017 Recently, machine translation systems based on neural networks have reached state-of-the-art results for some pairs of languages (e.g., German–English). In this paper, we are investigating the performance of neural machine translation in Chinese–Spanish,
A Lavie +6 more
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Amharic-arabic Neural Machine Translation
5th International Conference on Data Mining and Applications (DMAP 2019), 2019 Many automatic translation works have been addressed between major European language pairs, by taking advantage of large scale parallel corpora, but very few research works are conducted on the Amharic-Arabic language pair due to its parallel data scarcity.
Gashaw, Ibrahim, Shashirekha, H L
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ProLanGO: Protein Function Prediction Using Neural Machine Translation Based on a Recurrent Neural Network. [PDF]
Molecules, 2017 Cao R +5 more
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Reduction of Neural Machine Translation Failures by Incorporating Statistical Machine Translation
Mathematics, 2023 This paper proposes a hybrid machine translation (HMT) system that improves the quality of neural machine translation (NMT) by incorporating statistical machine translation (SMT).
Jani Dugonik +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-
Zhang, Biao +4 more
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