Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mozhgan Ghassemiazghandi"'
Publikováno v:
Social Sciences and Humanities Open, Vol 10, Iss , Pp 100949- (2024)
Subtitle translation has been a longstanding factor hindering the overseas development of Chinese movies. The potential of using Neural Machine Translation (NMT) as an innovative solution has yet to be studied. This case study aims to integrate Googl
Externí odkaz:
https://doaj.org/article/0c5b776a74904cca9356cd64d18878f7
Autor:
Mozhgan Ghassemiazghandi
Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation with the potential to overcome many weaknesses in conventional phrase-based translation systems. However, there are still grey areas that need attention in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a5bcc881c57165210085e4f7d34495f
https://doi.org/10.31235/osf.io/mxwe2
https://doi.org/10.31235/osf.io/mxwe2
