Results 21 to 30 of about 129,005 (263)
Neural Machine Translation Advised by Statistical Machine Translation
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Neural Machine Translation (NMT) is a new approach to machine translation that has made great progress in recent years. However, recent studies show that NMT generally produces fluent but inadequate translations (Tu et al. 2016b; 2016a; He et al. 2016; Tu et al. 2017). This is in contrast to conventional Statistical Machine Translation (
Xing Wang 0007 +5 more
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Survey of Uyghur Machine Translation Research [PDF]
Jisuanji gongchengAs one of the important tasks in China's low-resource machine translation research, the development and application of Uyghur machine translation can better promote cultural exchanges and trade between different regions and ethnic groups.However, Uyghur,
Halidanmu ABUDUKELIMU, Yutao HOU, Dengfeng YAO, Abudukelimu ABULIZI, Jishang CHEN
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Google Translate and DeepL: Breaking taboos in translator training. Observational study and analysis
Ibérica, 2023 In recent decades, when we read about the use of machine translation, we were told that it was not suitable for professional translation. The reason was that machine translation used to produce poor results as long as it was not applied to controlled ...
María-José Varela Salinas, Ruth Burbat
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Trabalhos em Linguística Aplicada, 2021 Considering the boost in technological development, and that machine translation has been widely used by both industry and academia, the main goal of this paper is to describe possibilities for the incorporation of a basic machine translation module in a
Marileide Dias Esqueda
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Comparative Legilinguistics, 2019 With the advent of the neural paradigm, machine translation has made another leap in quality. As a result, its use by trainee translators has increased considerably, which cannot be disregarded in translation pedagogy.
Wiesmann Eva
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Indian Journal of Social Psychiatry, 2019 Background: Questionnaires are forward-translated and then back-translated by human translators during adaptation of a survey questionnaire in the local language. The machine translation method is now available free from “Google Translate” website and it
Himel Mondal +2 more
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A review of existing Machine Translation Approaches, their Challenges and Evaluation Metrics
Pakistan Journal of Engineering Technology & Science, 2023 Machine translation is the process of translating a natural language into another. The primary goal of machine translation is to bridge the linguistic gap between languages.
Naseer Ahmed
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Pragmatics in machine translation [PDF]
Proceedings of the 11th coference on Computational linguistics -, 1986 TEXAN is a system of transfer-oriented text analysis. Its linguistic concept is based on a communicative approach within the framework of speech act theory. In this view texts are considered to be the result of linguistic actions. It is assumed that they control the selection of translation equivalents.
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Cogent Arts & Humanities, 2023 This study aims to examine machine translation research in journals indexed in the Web of Science to find out the research trending issue, hotspot areas of research, and document co-citation analysis. To this end, 541 documents published between 1992 and
Mohammed Ali Mohsen +2 more
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Reciprocal control of viral infection and phosphoinositide dynamics
FEBS Letters, EarlyView.Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
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