Results 61 to 70 of about 491,933 (328)
Transfer Learning for Low-Resource Neural Machine Translation [PDF]
Conference on Empirical Methods in Natural Language Processing, 2016 The encoder-decoder framework for neural machine translation (NMT) has been shown effective in large data scenarios, but is much less effective for low-resource languages.
Barret Zoph +3 more
semanticscholar +1 more source
Massively Multilingual Neural Machine Translation [PDF]
North American Chapter of the Association for Computational Linguistics, 2019 Multilingual Neural Machine Translation enables training a single model that supports translation from multiple source languages into multiple target languages.
Roee Aharoni +2 more
semanticscholar +1 more source
Neural-based machine translation for medical text domain. Based on European Medicines Agency leaflet texts [PDF]
, 2015 The quality of machine translation is rapidly evolving. Today one can find several machine translation systems on the web that provide reasonable translations, although the systems are not perfect. In some specific domains, the quality may decrease.
Marasek, Krzysztof, Wołk, Krzysztof
core +2 more sources
Machine translation using natural language processing [PDF]
MATEC Web of Conferences, 2019 Machine Translation is the translation of text or speech by a computer with no human involvement. It is a popular topic in research with different methods being created, like rule-based, statistical and examplebased machine translation.
Rishita Middi Venkata Sai +2 more
doaj +1 more source
Low-Resource Neural Machine Translation: A Systematic Literature Review
IEEE Access, 2023 In this study, a systematic literature review was conducted to examine the significant works in the literature on low-resource neural machine translation. Within the scope of the study, three research questions were identified to examine the low-resource
Bilge Kagan Yazar +2 more
doaj +1 more source
Survey of Neural Machine Translation Based on Knowledge Distillation [PDF]
Jisuanji kexue yu tansuoMachine translation (MT) is the process of using a computer to convert one language into another language with the same semantics. With the introduction of neural network, neural machine translation (NMT), as a powerful machine translation technology ...
MA Chang, TIAN Yonghong, ZHENG Xiaoli, SUN Kangkang
doaj +1 more source
Glancing Transformer for Non-Autoregressive Neural Machine Translation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 Recent work on non-autoregressive neural machine translation (NAT) aims at improving the efficiency by parallel decoding without sacrificing the quality. However, existing NAT methods are either inferior to Transformer or require multiple decoding passes,
Lihua Qian +7 more
semanticscholar +1 more source
Democratizing neural machine translation with OPUS-MT [PDF]
Language Resources and Evaluation, 2022 This paper presents the OPUS ecosystem with a focus on the development of open machine translation models and tools, and their integration into end-user applications, development platforms and professional workflows.
J. Tiedemann +9 more
semanticscholar +1 more source
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Existing multilingual machine translation approaches mainly focus on English-centric directions, while the non-English directions still lag behind. In this work, we aim to build a many-to-many translation system with an emphasis on the quality of non ...
Xiao Pan +3 more
semanticscholar +1 more source
Byte-based Neural Machine Translation [PDF]
Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017 This paper presents experiments compar- ing character-based and byte-based neural machine translation systems. The main motivation of the byte-based neural ma- chine translation system is to build multi- lingual neural machine translation systems that can share the same vocabulary.
Ruiz Costa-Jussà, Marta +2 more
openaire +3 more sources