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pro vyhledávání: '"Bilingual sentence selection"'
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
instname
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
[EN] Domain adaptation has recently gained interest in statistical machine translation. One of the adaptation techniques is based in the selection data. Data selection aims to select the best subset of the bilingual sentences from an available pool o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3ff0c85394b3002255bce1576ac10379
https://hdl.handle.net/10045/49281
https://hdl.handle.net/10045/49281
Akademický článek
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Autor:
Deb, Tonmoay1 (AUTHOR), Ali, Mohammad Zariff Ahsham1 (AUTHOR), Bhowmik, Sanchita1 (AUTHOR), Firoze, Adnan1 (AUTHOR), Ahmed, Syed Shahir1 (AUTHOR), Tahmeed, Muhammad Abeer1 (AUTHOR), Rahman, N.S.M. Rezaur1 (AUTHOR), Rahman, Rashedur M.1 (AUTHOR) rashedur.rahman@northsouth.edu, Nguyen, Ngoc Thanh (AUTHOR), Szczerbicki, Edward (AUTHOR), Trawiński, Bogdan (AUTHOR), Nguyen, Van Du (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2019, Vol. 37 Issue 6, p7427-7439. 13p.
Autor:
Peris Abril, Álvaro
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
[EN] Classically, statistical machine translation relied on representations of words in a discrete space. Words and phrases were atomically represented as indices in a vector. In the last years, techniques for representing words and phrases in a cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::501e49d47a5a54baacd524874fd3b4d7
http://hdl.handle.net/10251/68448
http://hdl.handle.net/10251/68448