Results 81 to 90 of about 238,882 (174)

Factored Neural Machine Translation

, 2016
We present a new approach for neural machine translation (NMT) using the morphological and grammatical decomposition of the words (factors) in the output side of the neural network. This architecture addresses two main problems occurring in MT, namely dealing with a large target language vocabulary and the out of vocabulary (OOV) words. By the means of
García-Martínez, Mercedes, Barrault, Loïc, Bougares, Fethi   +2 more
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Chinese-English machine translation model based on transfer learning and self-attention

Journal of Applied Science and Engineering
With the continuous development of machine learning and neural networks, neural machine translation (NMT) has been widely used due to its strong translation ability.
Shu Ma
doaj   +1 more source

Adversarial Neural Machine Translation

, 2017
In this paper, we study a new learning paradigm for Neural Machine Translation (NMT). Instead of maximizing the likelihood of the human translation as in previous works, we minimize the distinction between human translation and the translation given by an NMT model. To achieve this goal, inspired by the recent success of generative adversarial networks
Wu, Lijun, Xia, Yingce, Zhao, Li, Tian, Fei, Qin, Tao, Lai, Jianhuang, Liu, Tie-Yan   +6 more
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Pre-Translation for Neural Machine Translation

, 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 ...
Niehues, Jan, Cho, Eunah, Ha, Thanh-Le, Waibel, Alex   +3 more
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MACHINE TRANSLATION. NEURAL TRANSLATION [PDF]

Вестник Башкирского университета, 2019
R. G. Miftakhova, E. A. Morozkina
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Neural Machine Translation from Simplified Translations

, 2016
Submitted to EACL 2017 Short ...
Crego, Josep, Senellart, Jean
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Neural Machine Translation System for English to Indian Language Translation Using MTIL Parallel Corpus

Journal of Intelligent Systems, 2019
Introduction of deep neural networks to the machine translation research ameliorated conventional machine translation systems in multiple ways, specifically in terms of translation quality.
Premjith B., Kumar M. Anand, Soman K.P.
doaj   +1 more source

XNMT: The eXtensible Neural Machine Translation Toolkit

, 2018
This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distin- guishes itself from other open-source NMT toolkits by its focus on modular code design, with the purpose of enabling fast iteration in research and replicable ...
Arthur, Philip, Felix, Matthieu, Godard, Pierre, Hewitt, John, Matthews, Austin, Neubig, Graham, Padmanabhan, Sarguna, Qi, Ye, Riad, Rachid, Sachan, Devendra Singh, Sperber, Matthias, Wang, Liming, Wang, Xinyi   +12 more
core  

Limits if neural machine translation

Statistical, and more recently, neural machine translation has become a dominant method in translating between well-resourced languages. This is understandable, because these languages have large masses of digital texts available for training the language models.
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Domain robustness in neural machine translation

, 2019
Translating text that diverges from the training domain is a key challenge for machine translation. Domain robustness---the generalization of models to unseen test domains---is low for both statistical (SMT) and neural machine translation (NMT). In this paper, we study the performance of SMT and NMT models on out-of-domain test sets.
Müller, Mathias, Rios, Annette, Sennrich, Rico   +2 more
openaire   +4 more sources