RDRPOSTagger

A Ripple Down Rules-based Part-Of-Speech Tagger

Dat Quoc Nguyen, Dai Quoc Nguyen, Dang Duc Pham, Son Bao Pham

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

This paper describes our robust, easyto-use and language independent toolkit namely RDRPOSTagger which employs an error-driven approach to automatically construct a Single Classification Ripple Down Rules tree of transformation rules for POS tagging task. During the demonstration session, we will run the tagger on data sets in 15 different languages.
Original languageEnglish
Title of host publicationEACL 2014
Subtitle of host publicationProceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics
Place of PublicationPennsylvania
PublisherAssociation for Computational Linguistics (ACL)
Pages17-20
Number of pages4
ISBN (Print)9781937284756
Publication statusPublished - 2014
Externally publishedYes
EventConference of the European Chapter of the Association for Computational Linguistics (14th : 2014) - Gothenburg, Sweden
Duration: 26 Apr 201430 Apr 2014

Conference

ConferenceConference of the European Chapter of the Association for Computational Linguistics (14th : 2014)
CityGothenburg, Sweden
Period26/04/1430/04/14

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  • Cite this

    Nguyen, D. Q., Nguyen, D. Q., Pham, D. D., & Pham, S. B. (2014). RDRPOSTagger: A Ripple Down Rules-based Part-Of-Speech Tagger. In EACL 2014: Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics (pp. 17-20). Pennsylvania: Association for Computational Linguistics (ACL).