Data-Driven Bitext Dependency Parsing and Alignment


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Data-Driven Bitext Dependency Parsing and Alignment

Vis færre oplysninger Haulrich, Martin 2012-01-09 2012-01-10T10:55:16Z 2012-01-10T10:55:16Z 2012-01-10
dc.identifier.isbn 9788792842312
dc.identifier.isbn 9788792842305
dc.description.abstract Parallel treebanks have received increasing attention in the past few years, primarily due to their potential use in statistical machine translation. Creating parallel treebanks manually is a time-consuming and expensive task and for this reason there is considerable interest in creating treebanks automatically. This task can be solved using standard tools such as parsers and aligners. However, because parallel treebanks are based on parallel corpora, we are in a special situation where the same meaning is represented in two different ways. This thesis is about how we can exploit this information to create better parallel treebanks than we can by using standard tools.... en_US
dc.format.extent 183 en_US
dc.language eng en_US
dc.publisher Copenhagen Business School en_US
dc.relation.ispartofseries PhD Series;2.2012
dc.title Data-Driven Bitext Dependency Parsing and Alignment en_US
dc.type phd en_US
dc.accessionstatus modt12jan10 lbjl en_US
dc.contributor.corporation Copenhagen Business School. CBS en_US
dc.contributor.department Institut for Internationale Sprogstudier og Vidensteknologi ( en_US
dc.contributor.departmentshort ISV( en_US
dc.contributor.departmentuk Department of International Language Studies and Computational Linguistics( en_US
dc.contributor.departmentukshort ISV( en_US
dc.idnumber 9788792842312 en_US Frederiksberg en_US
dc.publisher.year 2012 en_US

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