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Nematus: a Toolkit for Neural Machine Translation [PDF]
Proceedings of the Software Demonstrations of the 15th Conference of
the European Chapter of the Association for Computational Linguistics, 2017 We present Nematus, a toolkit for Neural Machine Translation. The toolkit prioritizes high translation accuracy, usability, and extensibility. Nematus has been used to build top-performing submissions to shared translation tasks at WMT and IWSLT, and has been used to train systems for production environments.
Sennrich, Rico +10 more
openaire +6 more sources
A Comparative Study of English-Persian Translation of Neural Google Translation [PDF]
Iranian Journal of Applied Language Studies, 2017 Many studies abroad have focused on neural machine translation and almost all concluded that this method was much closer to humanistic translation than machine translation.
Mina Zand Rahimi +2 more
doaj +1 more source
Deep architectures for Neural Machine Translation [PDF]
Proceedings of the Second Conference on Machine Translation, 2017 WMT 2017 research ...
Miceli Barone, Antonio Valerio +4 more
openaire +5 more sources
Character-based Neural Machine Translation [PDF]
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2016 Accepted for publication at ACL ...
Ruiz Costa-Jussà, Marta +1 more
openaire +4 more sources
JITeCS (Journal of Information Technology and Computer Science), 2022 People relatively use machine translation to learn any textual knowledge beyond their native language. There is already robust machine translation such as Google translate.
I Gede Bintang Arya Budaya +2 more
doaj +1 more source
Automatic Post-editing of Hierarchical Attention Networks for Improved Context-aware Neural Machine Translation [PDF]
Journal of Artificial Intelligence and Data Mining, 2023 Most of the existing neural machine translation (NMT) methods translate sentences without considering the context. It is shown that exploiting inter and intra-sentential context can improve the NMT models and yield to better overall translation quality ...
M. M. Jaziriyan, F. Ghaderi
doaj +1 more source
Machine translation using natural language processing [PDF]
MATEC Web of Conferences, 2019 Machine Translation is the translation of text or speech by a computer with no human involvement. It is a popular topic in research with different methods being created, like rule-based, statistical and examplebased machine translation.
Rishita Middi Venkata Sai +2 more
doaj +1 more source
Survey of Neural Machine Translation Based on Knowledge Distillation [PDF]
Jisuanji kexue yu tansuoMachine translation (MT) is the process of using a computer to convert one language into another language with the same semantics. With the introduction of neural network, neural machine translation (NMT), as a powerful machine translation technology ...
MA Chang, TIAN Yonghong, ZHENG Xiaoli, SUN Kangkang
doaj +1 more source
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
core +2 more sources
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
doaj +1 more source