Results 31 to 40 of about 4,505,015 (366)
THE COMPARATIVE ANALYSIS OF THE MACHINE TRANSLATION SYSTEMS OF ECONOMIC DISCOURSE (ON THE EXAMPLE OF FRENCH-UKRAINIAN LANGUAGE PAIRS) [PDF]
Alfred Nobel University Journal of Philology, 2019 The paper is devoted to the research of the comparative analysis of the machine translation systems of French-language economic discourse in Ukrainian, taking into account the growing tendencies in the foreign economic activity of domestic enterprises ...
Nataliia M. Sopyluk, Ilona O. Tsarenko
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Humanities & Social Sciences Communications, 2023 Machine translation has become a popular option for news circulation, due to its speed, cost-effectiveness and improving quality. However, it still remains uncertain whether machine translation is effective in helping novice translators in news ...
Yanxia Yang +3 more
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In-context Examples Selection for Machine Translation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Large-scale generative models show an impressive ability to perform a wide range of Natural Language Processing (NLP) tasks using in-context learning, where a few examples are used to describe a task to the model.
Sweta Agrawal +4 more
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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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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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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 We present BART, a denoising autoencoder for pretraining sequence-to-sequence models. BART is trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.
M. Lewis +7 more
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A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Non-autoregressive (NAR) generation, which is first proposed in neural machine translation (NMT) to speed up inference, has attracted much attention in both machine learning and natural language processing communities.
Yisheng Xiao +6 more
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Creativity in translation: machine translation as a constraint for literary texts [PDF]
Translation Spaces, 2022 This article presents the results of a study involving the translation of a short story by Kurt Vonnegut from English to Catalan and Dutch using three modalities: machine-translation (MT), post-editing (PE) and translation without aid (HT).
Ana Guerberof Arenas, Antonio Toral
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Conference on Machine Translation, 2023 This paper presents the results of the General Machine Translation Task organised as part of the 2023 Conference on Machine Translation (WMT). In the general MT task, participants were asked to build machine translation systems for any of 8 language ...
Tom Kocmi +20 more
semanticscholar +1 more source
Neural Machine Translation for Low-resource Languages: A Survey [PDF]
ACM Computing Surveys, 2021 Neural Machine Translation (NMT) has seen tremendous growth in the last ten years since the early 2000s and has already entered a mature phase. While considered the most widely used solution for Machine Translation, its performance on low-resource ...
Surangika Ranathunga +5 more
semanticscholar +1 more source