Data-Driven Bitext Dependency Parsing and Alignment

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dc.contributor.author	Haulrich, Martin
dc.date.accessioned	2012-01-09
dc.date.accessioned	2012-01-10T10:55:16Z
dc.date.available	2012-01-10T10:55:16Z
dc.date.issued	2012-01-10
dc.identifier.isbn	9788792842312
dc.identifier.isbn	9788792842305
dc.identifier.uri	http://hdl.handle.net/10398/8385
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
dc.publisher.city	Frederiksberg	en_US
dc.publisher.year	2012	en_US