Zobrazeno 1 - 3
of 3
pro vyhledávání: '"statistische maschinelle Übersetzung"'
Autor:
Lang, Christian
This work strives to be an easy to understand overview of how the current state-of-the-art in machine translation, neural machine translation (NMT), works. Using the example of patent translation, the thesis aims to both demystify the terms “AI”
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1726::1a384384ca4f70ec21d4f0b3223f2ebe
https://hdl.handle.net/11353/10.1626053
https://hdl.handle.net/11353/10.1626053
Autor:
Durrani, Nadir
This dissertation aims at combining the benefits and to remedy the flaws of the two popular frameworks in statistical machine translation, namely Phrase-based MT and N-gram-based MT. Phrase-based MT advanced the state-of-the art towards translating p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea6b09b6b15614cd19656cb52b781c58
Autor:
Zhang, Yuqi
Publikováno v:
Aachen : Publikationsserver der RWTH Aachen University VIII, 120 S. : graph. Darst. (2012). = Aachen, Techn. Hochsch., Diss., 2012
The quality of machine translation (MT) has been significantly improved by using statistical approaches. The integration of syntactic knowledge into a statistical MT system is still an open problem. This talk investigates the application of syntactic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______791::a3b789e96269a96f8a16cfdd311908eb
https://publications.rwth-aachen.de/record/229648
https://publications.rwth-aachen.de/record/229648