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Combinatory Examples Extraction for Machine Translation

2006Conference object Open access
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dc.contributor.authorSimões, Alberto Manuelpt
dc.contributor.authorAlmeida, José Joãopt
dc.coverage.spatialOslo, Norwaypt
dc.coverage.spatialOslo, Noruegapt
dc.date2006-06-19pt
dc.date19-20 de Junho de 2006pt
dc.date.accessioned2009-11-03T15:07:59Z
dc.date.available2009-11-03T15:07:59Z
dc.date.created2006-05-02pt
dc.date.issued2006pt
dc.date.modified2008-11-06pt
dc.description.abstractOne 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 corporapt
dc.formatapplication/pdfpt
dc.identifier.citationAlberto Manuel Simões; José João Almeida. "Combinatory Examples Extraction for Machine Translation". In EAMT 11 th Annual Conference (Oslo, Norway, 19-20 June, 2006) , pp. 27-32pt
dc.identifier.urihttp://hdl.handle.net/10400.26/111
dc.identifier.urihttp://www.linguateca.pt/superb/busca_publ.pl?idi=1146580911pt
dc.language.isoengpt
dc.pagination27-32pt
dc.relation.ispartofquot; In EAMT 11 th Annual Conference(Oslo Norway 19-20 June 2006)pt
dc.subject.otherL10ANOSpt
dc.titleCombinatory Examples Extraction for Machine Translationpt
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Orçamento de Funcionamento%2FPOSC/POSI%2FPLP%2F43931%2F2001/PT
oaire.fundingStreamOrçamento de Funcionamento/POSC
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt
rcaap.typeconferenceObjectpt
relation.isProjectOfPublication86d04a49-c72b-457b-9a2a-66a01c033061
relation.isProjectOfPublication.latestForDiscovery86d04a49-c72b-457b-9a2a-66a01c033061

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