Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Bashir Shehu Galadanci"'
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030691424
ICTA
ICTA
Improving neural machine translation (NMT) models using the back-translations of the monolingual target data (synthetic parallel data) is currently the state-of-the-art approach for training improved translation systems. The quality of the backward s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4398c0f8c3550906c8f4e50dc1f17e8
https://doi.org/10.1007/978-3-030-69143-1_28
https://doi.org/10.1007/978-3-030-69143-1_28
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030870126
ICCSA (9)
ICCSA (9)
For many languages, the lack of sufficient parallel data to train translation models have resulted in using the monolingual data, source and target, through self-learning and back-translation respectively. Most works that implemented the self-learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::919e93414b87cd0080e333ae8672a2fe
https://doi.org/10.1007/978-3-030-87013-3_24
https://doi.org/10.1007/978-3-030-87013-3_24
Publikováno v:
Journal of Computer Science and Its Application. 26
Computer viruses are generally malicious, detrimental to data and system integrity as well as a number-one method of computer vandalism. Users of computer systems have different perception of the effect these viruses can cause to a computer system. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7e973c2fc16f9c9feb29fec03736dfb
https://doi.org/10.4314/jcsia.v26i1.9
https://doi.org/10.4314/jcsia.v26i1.9
Publikováno v:
Advanced Science Letters. 24:1268-1272
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe709558d9e95c3c80da3a2946d4e078
https://doi.org/10.1166/asl.2018.10730
https://doi.org/10.1166/asl.2018.10730
An effective method to generate a large number of parallel sentences for training improved neural machine translation (NMT) systems is the use of the back-translations of the target-side monolingual data. The standard back-translation method has been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44a187cbab5380d017f377ab42050a3a