Sublemma-Based Neural Machine Translation [PDF]
Complexity, 2021 Powerful deep learning approach frees us from feature engineering in many artificial intelligence tasks. The approach is able to extract efficient representations from the input data, if the data are large enough. Unfortunately, it is not always possible
Thien Nguyen, Huu Nguyen, Phuoc Tran
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Neural Machine Translation of Spanish-English Food Recipes Using LSTM
JOIV: International Journal on Informatics Visualization, 2022 Nowadays, food is one of the things that has been globalized, and everyone from different parts of the world has been able to cook food from other countries through existing online recipes.
Khen Dedes +5 more
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Research on BERT Embedding for Chinese-Uyghur Machine Translation [PDF]
Jisuanji gongcheng, 2021 The Chinese-Uyghur parallel corpus required for training Chinese-Uyghur machine translation models suffer from data sparsity.To address the problem, this paper embeds the Chinese pre-trained language BERT model into a Chinese-Uyghur neural machine ...
CHEN Xi, YANG Yating, DONG Rui
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IoT-Based English Translation Teaching from the Perspective of Artificial Intelligence
International Journal of Antennas and Propagation, 2022 In recent years, with the development of artificial intelligence, the Internet of Things (IoT) has become a research hotspot in industry and academia. At the same time, as a derivative tool of artificial intelligence, machine translation based on the IoT
Dandan Liu
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ProLanGO: Protein Function Prediction Using Neural Machine Translation Based on a Recurrent Neural Network [PDF]
Molecules, 2017 Leong Chan, Renzhi Cao, Miao Sun
exaly +2 more sources
Deep Learning-Based English-Chinese Translation Research
Advances in Meteorology, 2022 Neural machine translation (NMT) has been bringing exciting news in the field of machine translation since its emergence. However, because NMT only employs single neural networks to convert natural languages, it suffers from two drawbacks in terms of ...
Yao Huang, Yi Xin
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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
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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
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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
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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
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