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Post-editing for the kazakh language using opennmt
Вестник КазНУ. Серия математика, механика, информатика, 2022 The modern world and our immediate future depend on applied intelligent systems, as new technologies develop every day. One of the tasks of intelligent systems is machine (automated) translation from one natural language to another.
D. R. Rakhimova +1 more
doaj +1 more source
Six Challenges for Neural Machine Translation [PDF]
NMT@ACL, 2017 We explore six challenges for neural machine translation: domain mismatch, amount of training data, rare words, long sentences, word alignment, and beam search.
Philipp Koehn, Rebecca Knowles
semanticscholar +1 more source
The Curious Case of Hallucinations in Neural Machine Translation [PDF]
North American Chapter of the Association for Computational Linguistics, 2021 In this work, we study hallucinations in Neural Machine Translation (NMT), which lie at an extreme end on the spectrum of NMT pathologies. Firstly, we connect the phenomenon of hallucinations under source perturbation to the Long-Tail theory of Feldman ...
Vikas Raunak +2 more
semanticscholar +1 more source
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
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Unlike literal expressions, idioms’ meanings do not directly follow from their parts, posing a challenge for neural machine translation (NMT).
Verna Dankers +2 more
semanticscholar +1 more source
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
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
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
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