Breaking the Resource Bottleneck for Multilingual Parsing

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dc.contributor.authorHwa, Rebeccaen_US
dc.contributor.authorResnik, Philipen_US
dc.contributor.authorWeinberg, Amyen_US
dc.date.accessioned2004-05-31T23:17:45Z
dc.date.available2004-05-31T23:17:45Z
dc.date.created2002-04en_US
dc.date.issued2002-05-22en_US
dc.description.abstractWe propose a framework that enables the acquisition of annotation-heavy resources such as syntactic dependency tree corpora for low-resource languages by importing linguistic annotations from high-quality English resources. We present a large-scale experiment showing that Chinese dependency trees can be induced by using an English parser, a word alignment package, and a large corpus of sentence-aligned bilingual text. As a part of the experiment, we evaluate the quality of a Chinese parser trained on the induced dependency treebank. We find that a parser trained in this manner out-performs some simple baselines inspite of the noise in the induced treebank. The results suggest that projecting syntactic structures from English is a viable option for acquiring annotated syntactic structures quickly and cheaply. We expect the quality of the induced treebank to improve when more sophisticated filtering and error-correction techniques are applied. (Also LAMP-TR-086) (Also UMIACS-TR-2002-35)en_US
dc.format.extent67343 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/1194
dc.language.isoen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4355en_US
dc.relation.ispartofseriesLAMP-TR-086en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2002-35en_US
dc.titleBreaking the Resource Bottleneck for Multilingual Parsingen_US
dc.typeTechnical Reporten_US

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