Improving statistical machine translation for a resource-poor language using related resource-rich languages

Journal of Artificial Intelligence Research

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Bibliographic Details
Main Authors: Nakov, P., Tou Ng, H.
Other Authors: COMPUTER SCIENCE
Format: Article
Published: 2013
Online Access:http://scholarbank.nus.edu.sg/handle/10635/38976
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-389762015-01-13T06:10:03Z Improving statistical machine translation for a resource-poor language using related resource-rich languages Nakov, P. Tou Ng, H. COMPUTER SCIENCE Journal of Artificial Intelligence Research 44 179-222 JAIRF 2013-07-04T07:31:09Z 2013-07-04T07:31:09Z 2012 Article Nakov, P.,Tou Ng, H. (2012). Improving statistical machine translation for a resource-poor language using related resource-rich languages. Journal of Artificial Intelligence Research 44 : 179-222. ScholarBank@NUS Repository. 10769757 http://scholarbank.nus.edu.sg/handle/10635/38976 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
description Journal of Artificial Intelligence Research
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
Nakov, P.
Tou Ng, H.
format Article
author Nakov, P.
Tou Ng, H.
spellingShingle Nakov, P.
Tou Ng, H.
Improving statistical machine translation for a resource-poor language using related resource-rich languages
author_sort Nakov, P.
title Improving statistical machine translation for a resource-poor language using related resource-rich languages
title_short Improving statistical machine translation for a resource-poor language using related resource-rich languages
title_full Improving statistical machine translation for a resource-poor language using related resource-rich languages
title_fullStr Improving statistical machine translation for a resource-poor language using related resource-rich languages
title_full_unstemmed Improving statistical machine translation for a resource-poor language using related resource-rich languages
title_sort improving statistical machine translation for a resource-poor language using related resource-rich languages
publishDate 2013
url http://scholarbank.nus.edu.sg/handle/10635/38976
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