Results 21 to 30 of about 47,700 (259)
Advance Research on Neural Machine Translation Integrating Linguistic Knowledge
Jisuanji kexue yu tansuo, 2021 Although neural machine translation has become the mainstream method and paradigm in the current research and application of machine translation, there are also some problems such as the fluent but not faithful of the translation results, difficult ...
GUO Wanghao, FAN Jiangwei, ZHANG Keliang
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A Survey on Hybrid Machine Translation [PDF]
E3S Web of Conferences, 2020 Machine translation has gradually developed in past 1940’s.It has gained more and more attention because of effective and efficient nature. As it makes the translation automatically without the involvement of human efforts. The distinct models of machine
Anugu Anusha, Ramesh Gajula
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Translation Mechanism of Neural Machine Algorithm for Online English Resources
Complexity, 2021 At the level of English resource vocabulary, due to the lack of vocabulary alignment structure, the translation of neural machine translation has the problem of unfaithfulness.
Yanping Ye
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Binarized Neural Machine Translation
Advances in Neural Information Processing Systems 36, 2023 The rapid scaling of language models is motivating research using low-bitwidth quantization. In this work, we propose a novel binarization technique for Transformers applied to machine translation (BMT), the first of its kind. We identify and address the problem of inflated dot-product variance when using one-bit weights and activations.
Yichi Zhang 0006 +6 more
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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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Translating Phrases in Neural Machine Translation [PDF]
Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing, 2017 Accepted by EMNLP ...
Xing Wang 0007 +3 more
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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
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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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