Results 11 to 20 of about 240,752 (266)
Interactive neural machine translation [PDF]
Computer Speech & Language, 2017 Despite the promising results achieved in last years by statistical machine translation, and more precisely, by the neural machine translation systems, this technology is still not error-free. The outputs of a machine translation system must be corrected by a human agent in a post-editing phase.
Álvaro Peris +2 more
openaire +4 more sources
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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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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Evaluation of English–Slovak Neural and Statistical Machine Translation
Applied Sciences, 2021 This study is focused on the comparison of phrase-based statistical machine translation (SMT) systems and neural machine translation (NMT) systems using automatic metrics for translation quality evaluation for the language pair of English and Slovak.
Lucia Benkova +3 more
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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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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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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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Scaling neural machine translation to 200 languages. [PDF]
NatureNLLB Team.
europepmc +2 more sources
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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