Results 41 to 50 of about 221,770 (298)
Byte-based Neural Machine Translation [PDF]
Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017 This paper presents experiments compar- ing character-based and byte-based neural machine translation systems. The main motivation of the byte-based neural ma- chine translation system is to build multi- lingual neural machine translation systems that can share the same vocabulary.
Ruiz Costa-Jussà, Marta +2 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.
Reheman, Abudurexiti +5 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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The Helsinki Neural Machine Translation System [PDF]
Proceedings of the Second Conference on Machine Translation, 2017 Proceedings of the Second Conference on Machine Translation (WMT 2017) at EMNLP 2017, Copenhagen ...
Östling, Robert +4 more
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Syntactically Guided Neural Machine Translation [PDF]
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2016 ACL ...
Stahlberg, F +3 more
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Progress in Machine Translation
Engineering, 2022 After more than 70 years of evolution, great achievements have been made in machine translation. Especially in recent years, translation quality has been greatly improved with the emergence of neural machine translation (NMT).
Haifeng Wang +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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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 model combining dependency syntax and LSTM [PDF]
ITM Web of Conferences, 2022 For the problem of the lack of linguistic knowledge in the neural machine translation model, which is called Transformer, and the insufficient flexibility of positional encoding, this paper introduces the dependency syntax analysis and the long short ...
Zheng Xin +3 more
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Neural Machine Translation Advised by Statistical Machine Translation
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Neural Machine Translation (NMT) is a new approach to machine translation that has made great progress in recent years. However, recent studies show that NMT generally produces fluent but inadequate translations (Tu et al. 2016b; 2016a; He et al. 2016; Tu et al. 2017). This is in contrast to conventional Statistical Machine Translation (
Wang, Xing +5 more
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