Show simple item record

dc.contributor.authorÇiçekli, İlyasen_US
dc.date.accessioned2016-02-08T11:50:05Z
dc.date.available2016-02-08T11:50:05Zen_US
dc.date.issued2005en_US
dc.identifier.issn0922-6567
dc.identifier.urihttp://hdl.handle.net/11693/27300en_US
dc.description.abstractThis paper presents a generalization technique that induces translation templates from a given set of translation examples by replacing differing parts in the examples with typed variables. Since the type of each variable is inferred during the learning process, each induced template is also associated with a set of type constraints. The type constraints that are associated with a translation template restrict the usage of the translation template in certain contexts in order to avoid some of the wrong translations. The types of variables are induced using type lattices designed for both the source and target languages. The proposed generalization technique has been implemented as a part of an example-based machine translation system.en_US
dc.language.isoEnglishen_US
dc.source.titleMachine Translationen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s10590-006-9014-6en_US
dc.subjectExample-based MTen_US
dc.subjectMachine learningen_US
dc.subjectFormal languagesen_US
dc.subjectLearning systemsen_US
dc.subjectSet theoryen_US
dc.subjectExample-based MTen_US
dc.subjectTranslation (languages)en_US
dc.titleInducing translation templates with type constraintsen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage283en_US
dc.citation.epage299en_US
dc.citation.volumeNumber19en_US
dc.citation.issueNumber3-4en_US
dc.identifier.doi10.1007/s10590-006-9014-6en_US
dc.publisherSpringeren_US
dc.identifier.eissn1573-0573en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record