Results 291 to 298 of about 221,770 (298)
Retraction: The use of machine translation algorithm based on residual and LSTM neural network in translation teaching. [PDF]
PLoS OnePLOS One Editors.
europepmc +1 more source
Edge computing based english translation model using fuzzy semantic optimal control technique. [PDF]
PLoS OneWang N.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
The Event/Machine of Neural Machine Translation?
Journal of Aesthetics and Phenomenology, 2022The present paper purports to question the status of machine translation as a technique, or even as a technology. The use of new technologies, and more particularly neural machine translation is problematic, because the operating mode of machine translation software is a machinic language processing that relies on the harvesting of potentially infinite
openaire +2 more sources
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 +2 more sources
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 +2 more sources
Multilingual Neural Machine Translation
Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts, 2020The 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 +2 more
openaire +2 more sources
Risks in neural machine translation
Translation Spaces, 2020Abstract The new paradigm of neural machine translation is leading to profound changes in the translation industry. Surprisingly good results have led to high expectations; however, there are substantial risks that have not yet been sufficiently taken into account.
Angelika Ottmann, Carmen Canfora
openaire +2 more sources