Results 241 to 250 of about 240,752 (266)

Editorial: Brain-Computer Interfaces (BCIs) for daily activities: innovations in EEG signal analysis and machine learning approaches. [PDF]

Front Hum Neurosci
Al-Bander B.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Neural Machine Translation with Deep Attention

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Deepening neural models has been proven very successful in improving the model's capacity when solving complex learning tasks, such as the machine translation task. Previous efforts on deep neural machine translation mainly focus on the encoder and the decoder, while little on the attention mechanism.
Biao Zhang, Deyi Xiong, Jinsong Su
openaire   +5 more sources

Multilingual Neural Machine Translation

Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts, 2020
The advent of neural machine translation (NMT) has opened up exciting research in building multilingual translation systems i.e. translation models that can handle more than one language pair. Many advances have been made which have enabled (1) improving translation for low-resource languages via transfer learning from high resource languages; and (2 ...
Raj Dabre, Chenhui Chu, Anoop Kunchukuttan   +2 more
openaire   +1 more source

Neural machine translation and human translation

Babel. Revue internationale de la traduction / International Journal of Translation, 2023
Abstract By comparing the Chinese, English and French versions of “Exhortations of Learning” and “On Building a Human Community with a Shared Future,” translated by human translators and the neural machine translation systems respectively, this essay finds out that human translators have addressed the political and ideological factors more tactfully ...
Anfeng Sheng, Yankun Kong
openaire   +1 more source

Neural Machine Translation

2019
The emergence of neural machine translation (NMT) has revolutionized the filed of machine translation. In the first section, we introduce the fundamental of NMT models. Then we study the advantages of NMT over traditional statistical machine translations (SMT), some of its existing challenges and recent research efforts.
openaire   +1 more source

Neural Machine Translation for Low-resource Languages: A Survey

ACM Computing Surveys, 2023
Surangika Ranathunga, Annie, Marjana Prifti Skenduli   +2 more
exaly  

A Survey of Multilingual Neural Machine Translation

ACM Computing Surveys, 2021
Chenhui Chu
exaly  

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
yisheng xiao, Lijun Wu, Junliang Guo
exaly  

Neural Machine Translation between

Proceedings of the Sixth Workshop on, 2019
Thazin Myint Oo, Ye Kyaw Thu, Khin Mar Soe   +2 more
openaire   +1 more source