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A Modality Lexicon and its use in Automatic Tagging

dc.contributor.authorBaker, Kathryn
dc.contributor.authorBloodgood, Michael
dc.contributor.authorDorr, Bonnie
dc.contributor.authorFilardo, Nathaniel
dc.contributor.authorLevin, Lori
dc.contributor.authorPiatko, Christine
dc.date.accessioned2014-08-11T17:44:55Z
dc.date.available2014-08-11T17:44:55Z
dc.date.issued2010-05
dc.identifier.citationKathryn Baker, Michael Bloodgood, Bonnie J. Dorr, Nathaniel W. Filardo, Lori Levin, and Christine Piatko. 2010. A modality lexicon and its use in automatic tagging. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), pages 1402-1407, Valletta, Malta, May. European Language Resources Association.en_US
dc.identifier.urihttp://hdl.handle.net/1903/15554
dc.description.abstractThis paper describes our resource-building results for an eight-week JHU Human Language Technology Center of Excellence Summer Camp for Applied Language Exploration (SCALE-2009) on Semantically-Informed Machine Translation. Specifically, we describe the construction of a modality annotation scheme, a modality lexicon, and two automated modality taggers that were built using the lexicon and annotation scheme. Our annotation scheme is based on identifying three components of modality: a trigger, a target and a holder. We describe how our modality lexicon was produced semi-automatically, expanding from an initial hand-selected list of modality trigger words and phrases. The resulting expanded modality lexicon is being made publicly available. We demonstrate that one tagger—a structure-based tagger—results in precision around 86% (depending on genre) for tagging of a standard LDC data set. In a machine translation application, using the structure-based tagger to annotate English modalities on an English-Urdu training corpus improved the translation quality score for Urdu by 0.3 Bleu points in the face of sparse training data.en_US
dc.description.sponsorshipThis work is supported, in part, by the Johns Hopkins Human Language Technology Center of Excellence. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsor.en_US
dc.language.isoen_USen_US
dc.publisherEuropean Language Resources Associationen_US
dc.subjectcomputer scienceen_US
dc.subjectcomputational linguisticsen_US
dc.subjectmodalityen_US
dc.subjectmodality lexiconen_US
dc.subjectmodality annotationen_US
dc.subjectautomatic modality taggingen_US
dc.titleA Modality Lexicon and its use in Automatic Taggingen_US
dc.typeArticleen_US
dc.relation.isAvailableAtCenter for Advanced Study of Language
dc.relation.isAvailableAtDigitial Repository at the University of Maryland
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md)
dc.rights.licensePublished with the permission of ELRA. This paper was published within the proceedings of the LREC 2010 Conference. © 1998-2012 ELRA - European Language Resources Association. All rights reserved.


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