Use of Neural Machine Translation Software for Patients With Limited English Proficiency to Assess Postoperative Pain and Nausea
Sign Up to like & getrecommendations! Published in 2022 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.1485
Abstract: This cohort study investigates the use of neural machine translation software to assess postoperative pain and nausea among patients with limited English proficiency. read more here.
Keywords: assess postoperative; use neural; neural machine; postoperative pain ... See more keywords
Improving neural machine translation for low-resource Indian languages using rule-based feature extraction
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04990-9
Abstract: Languages help to unite the world socially, culturally and technologically. Different natives communicate in different languages; there is a tremendous requirement for inter-language information translation process to transfer and share information and ideas. Though Sanskrit… read more here.
Keywords: machine translation; rule based; neural machine; translation ... See more keywords
Post-editing neural machine translation versus phrase-based machine translation for English–Chinese
Sign Up to like & getrecommendations! Published in 2019 at "Machine Translation"
DOI: 10.1007/s10590-019-09229-6
Abstract: This paper aims to shed light on the post-editing process of the recently-introduced neural machine translation (NMT) paradigm. Using simple and more complex texts, we first evaluate the output quality from English to Chinese phrase-based… read more here.
Keywords: machine translation; neural machine; post editing;
Post-editing neural machine translation versus translation memory segments
Sign Up to like & getrecommendations! Published in 2019 at "Machine Translation"
DOI: 10.1007/s10590-019-09232-x
Abstract: The use of neural machine translation (NMT) in a professional scenario implies a number of challenges despite growing evidence that, in language combinations such as English to Spanish, NMT output quality has already outperformed statistical… read more here.
Keywords: machine translation; translation; post editing; neural machine ... See more keywords
Optimizing segmentation granularity for neural machine translation
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DOI: 10.1007/s10590-019-09243-8
Abstract: In neural machine translation (NMT), it has become standard to translate using subword units to allow for an open vocabulary and improve accuracy on infrequent words. Byte-pair encoding (BPE) and its variants are the predominant… read more here.
Keywords: machine; optimizing segmentation; granularity; machine translation ... See more keywords
Linguistically enhanced word segmentation for better neural machine translation of low resource agglutinative languages
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-021-09865-5
Abstract: One of the several challenges faced by neural machine translation systems is the lack of standard parallel corpora for several language pairs. Poor translation qualities often result from inadequate data. Aggravating this problem further are… read more here.
Keywords: linguistically enhanced; word; machine translation; translation ... See more keywords
Generative adversarial training for neural machine translation
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.09.006
Abstract: Abstract Neural machine translation (NMT) is typically optimized to generate sentences which cover n-grams with ground target as much as possible. However, it is widely acknowledged that n-gram precisions, the manually designed approximate loss function,… read more here.
Keywords: generative adversarial; csgan nmt; machine translation; model ... See more keywords
Neural Machine Translation 2020, by Philipp Koehn, Cambridge, Cambridge University Press, ISBN 978-1-108-49732-9, pages 393
Sign Up to like & getrecommendations! Published in 2021 at "Natural Language Engineering"
DOI: 10.1017/s1351324920000650
Abstract: Neural Machine Translation delivers a thorough and well-structured walk through the core concepts of the field. The book is primarily aimed at students who will want to go on to develop their own neural machine… read more here.
Keywords: field; translation; neural machine; machine translation ... See more keywords
Multimodal Neural Machine Translation With Weakly Labeled Images
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DOI: 10.1109/access.2019.2911656
Abstract: Machine translation refers to a fully automated process that translates a user’s input text into a target language. To improve the accuracy of machine translation, studies usually exploit not only the input text itself but… read more here.
Keywords: multimodal neural; system; translation; neural machine ... See more keywords
Neural Machine Translation Transfer Model Based on Mutual Domain Guidance
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DOI: 10.1109/access.2022.3208951
Abstract: The neural machine translation (NMT) model is a data hungry and domain-sensitive model but it is almost impossible to obtain a large number of labeled data for training it. This requires the use of domain… read more here.
Keywords: transfer; neural machine; domain; model ... See more keywords
Document-Level Neural Machine Translation With Recurrent Context States
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DOI: 10.1109/access.2023.3247508
Abstract: Integrating contextual information into sentence-level neural machine translation (NMT) systems has been proven to be effective in generating fluent and coherent translations. However, taking too much context into account slows down these systems, especially when… read more here.
Keywords: level neural; neural machine; level; machine translation ... See more keywords