Results 91 to 100 of about 238,882 (174)
Investigating Backtranslation in Neural Machine Translation
, 2018 This research has been supported by the ADAPT Centre for Digital Content Technology which is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund. This work has also received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie ...
Poncelas, Alberto +4 more
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Вестник Северного (Арктического) федерального университета: Серия «Гуманитарные и социальные науки»This article presents a systematic description of translation failures resulting from neural machine translation of Finnish-language meteorological media texts (forecasting a cold front and negative temperatures) into Russian. The importance of the topic
Anna V. Merzlaya
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Debugging Neural Machine Translations
, 2018 In this paper, we describe a tool for debugging the output and attention weights of neural machine translation (NMT) systems and for improved estimations of confidence about the output based on the attention. The purpose of the tool is to help researchers and developers find weak and faulty example translations that their NMT systems produce without ...
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Evaluation of Neural Machine translation for conversion of International Classification of disease codes to the Abbreviated injury Scale. [PDF]
Accid Anal Prev, 2023 Hartka T +4 more
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Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models. [PDF]
AMIA Jt Summits Transl Sci Proc, 2023 Oniani D +8 more
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Multimodal Attention for Neural Machine Translation
, 2016 10 pages, under review COLING ...
Caglayan, O, Barrault, L, Bougares, F
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NEURAL NETWORK MACHINE TRANSLATION IN FOREIGN LANGUAGE TEACHING IN TECHNICAL UNIVERSITY
Russian Journal of Education and PsychologyBackground. Mass usage of neural-network machine translation services by students of technical universities when studying foreign languages leads to the necessary changes in the working programme content and teaching instruments.
Irina S. Volegzhanina +1 more
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Improving neural machine translation with POS-tag features for low-resource language pairs. [PDF]
Heliyon, 2022 Hlaing ZZ +3 more
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Frontiers in Artificial IntelligenceIntroductionIn the last couple of decades, Amharic-English translation has greatly improved from a rule-based approach to contemporary systems that apply neural networks.
Muluken Hussen Asebel +2 more
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An Improved Transformer-Based Neural Machine Translation Strategy: Interacting-Head Attention. [PDF]
Comput Intell Neurosci, 2022 Li D, Luo Z.
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