Results 41 to 50 of about 53,972 (305)
Deep architectures for Neural Machine Translation [PDF]
Proceedings of the Second Conference on Machine Translation, 2017 WMT 2017 research ...
Antonio Valerio Miceli Barone +4 more
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Evaluating Neural Machine Translation Using Error Analysis In English -Arabic Texts [PDF]
مجلة کلية الآداب. جامعة أسوان, 2019 The aim of this study was to evaluate the output of Neural Machine Translation of translating texts from English into Arabic using error analysis. Google Translate was taken as an example as the leading neural machine translations.
فهد بن سعد السهلي
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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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Boosting Neural Machine Translation
CoRR, 2016 published in IJCNLP ...
Dakun Zhang +3 more
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Machine translation evaluation with neural networks [PDF]
Computer Speech & Language, 2017 We present a framework for machine translation evaluation using neural networks in a pairwise setting, where the goal is to select the better translation from a pair of hypotheses, given the reference translation. In this framework, lexical, syntactic and semantic information from the reference and the two hypotheses is embedded into compact ...
Francisco Guzmán +3 more
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Neural Machine Translation with Contrastive Translation Memories
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022 Différents des travaux antérieurs qui utilisent des mémoires de traduction (TM) similaires mais redondantes, nous proposons un nouveau NMT à récupération augmentée pour modéliser des mémoires de traduction récupérées de manière contrastée qui sont globalement similaires à la phrase source tout en étant individuellement contrastives les unes par rapport
Xiuzhen Cheng +4 more
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Iterative Back-Translation for Neural Machine Translation [PDF]
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, 2018 We present iterative back-translation, a method for generating increasingly better synthetic parallel data from monolingual data to train neural machine translation systems. Our proposed method is very simple yet effective and highly applicable in practice. We demonstrate improvements in neural machine translation quality in both high and low resourced
Hoang, Cong Duy Vu +3 more
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Prompting Neural Machine Translation with Translation Memories
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Improving machine translation (MT) systems with translation memories (TMs) is of great interest to practitioners in the MT community. However, previous approaches require either a significant update of the model architecture and/or additional training efforts to make the models well-behaved when TMs are taken as additional input.
Abudurexiti Reheman +5 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
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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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