Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/5196

TitleCombinatory examples extraction for machine translation
Author(s)Simões, Alberto
Almeida, J. J.
KeywordsExample based machine translation
Parallel corpora
Issue dateJun-2006
CitationANNUAL CONFERENCE OF THE EUROPEAN ASSOCIATION FOR MACHINE TRANSLATION, 11, Oslo, Noruega, 2006 – “EAMT : Annual Conference of the Europeran Association for Machine Translation.” [S.l. : s.n., 2006?].
Abstract(s)One of the bottlenecks of example-based machine translation (EBMT) is to be able to amass automatically quantities of good examples. In our work in EBMT, we are investigating how far one can go by performing example extraction from parallel corpora using Probabilistic Translation Dictionaries to obtain example segmentation points. In fact, the success of EBMT highly depends on examples quality and quantity, but also in their length. Thus, we give special importance on methods to extract different size examples from the same translation unit. With this article we show that it is possible to extract quantities for examples from parallel corpora just using probabilistic translation dictionaries extracted from the same corpora.
TypeconferencePaper
URIhttp://hdl.handle.net/1822/5196
Peer-Reviewedyes
AccessopenAccess
Appears in Collections:DI/CCTC - Artigos (papers)

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