Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Surafel Melaku Lakew"'
Autor:
Robert Enyedi, Marcello Federico, Surafel Melaku Lakew, Yogesh Virkar, Cuong Hoang, Roberto Barra-Chicote, Yue Wang
Publikováno v:
ICASSP
Automatic dubbing aims at seamlessly replacing the speech in a video document with synthetic speech in a different language. The task implies many challenges, one of which is generating translations that not only convey the original content, but also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2584428462de65bbad54bc54751635cb
Publikováno v:
IJCoL, Vol 4, Iss 1, Pp 11-25 (2018)
In recent years, Neural Machine Translation (NMT) has been shown to be more effective than phrase-based statistical methods, thus quickly becoming the state of the art in machine translation (MT). However, NMT systems are limited in translating low-r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6762f7830ba554926c5fcb8032bc022d
http://journals.openedition.org/ijcol/531
http://journals.openedition.org/ijcol/531
Publikováno v:
WMT
Both research and commercial machine translation have so far neglected the importance of properly handling the spelling, lexical and grammar divergences occurring among language varieties. Notable cases are standard national varieties such as Brazili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ed4d6acca23e98473e3f15054971630
Publikováno v:
Proceedings of the Fourth Italian Conference on Computational Linguistics CLiC-it 2017 ISBN: 9788899982942
CLiC-it
CLiC-it
In recent years, Neural Machine Translation (NMT) has been shown to be more effective than phrase-based statistical methods, thus quickly becoming the state of the art in machine translation (MT). However, NMT systems are limited in translating low-r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::041f1f63d9087f503a086db844f5223f
https://doi.org/10.4000/books.aaccademia.2419
https://doi.org/10.4000/books.aaccademia.2419