Rule-based Translation With Statistical Phrase-based Post-editing

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TypeArticle
ConferenceACL 2007 Second Workshop on Statistical Machine Translation, 39256, Prague, Czech Republic
AbstractThis article describes a machine translation system based on an automatic post-editing strategy: initially translate the input text into the target-language using a rule-based MT system, then automatically post-edit the output using a statistical phrase-based system. An implementation of this approach based on the SYSTRAN and PORTAGE MT systems was used in the shared task of the Second Workshop on Statistical Machine Translation. Experimental results on the test data of the previous campaign are presented.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number49352
NPARC number9061555
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Record identifier95820308-d465-47bb-9587-2c3cde094ef1
Record created2009-05-08
Record modified2016-05-09
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