Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Interactive Machine Translation"'
Autor:
Ángel Navarro, Francisco Casacuberta
Publikováno v:
Information, Vol 13, Iss 6, p 294 (2022)
Neural Machine Translation (NMT) has improved performance in several tasks up to human parity. However, many companies still use Computer-Assisted Translation (CAT) tools to achieve perfect translation, as well as other tools. Among these tools, we f
Externí odkaz:
https://doaj.org/article/cd9f4d0ceb4d4797b7b5664314b4c206
Autor:
Ángel Navarro, Francisco Casacuberta
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1100 (2022)
Reducing the human effort performed with the use of interactive-predictive neural machine translation (IPNMT) systems is one of the main goals in this sub-field of machine translation (MT). Prior works have focused on changing the human–machine int
Externí odkaz:
https://doaj.org/article/ece93093f41747d3850b6c624911f187
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
AAAI
Conventional interactive machine translation typically requires a human translator to validate every generated target word, even though most of them are correct in the advanced neural machine translation (NMT) scenario. Previous studies have exploite
Autor:
Domingo Ballester, Miguel
[ES] Los documentos históricos son una parte importante de nuestra herencia cultural. Sin embargo, debido a la barrera idiomática inherente en el lenguaje humano y a las propiedades lingüísticas de estos documentos, su accesibilidad está princip
Externí odkaz:
http://hdl.handle.net/10251/181231
Publikováno v:
Machine Translation, 2002 Jan 01. 17(2), 77-98.
Externí odkaz:
https://www.jstor.org/stable/40007093
Publikováno v:
Machine Translation, 2000 Jan 01. 15(4), 267-294.
Externí odkaz:
https://www.jstor.org/stable/20060449
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] Neural machine translation systems require large amounts of training data and resources. Even with this, the quality of the translations may be insufficient for some users or domains. In such cases, the output of the system must be revised by a
Autor:
Guo Xin, Tian Hongnan
Publikováno v:
2021 5th International Conference on Robotics and Automation Sciences (ICRAS).
Sentence similarity calculation is a key technology in the field of natural processing and plays an important role in the field of interactive machine translation. This paper combines the important role of prior knowledge in interactive machine trans
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.