Evaluating parts-of-speech taggers for use in a text-to-scene conversion system Glass, Kevin and Bangay, Shaun 2005, Evaluating parts-of-speech taggers for use in a text-to-scene conversion system, in SAICSIT '05 : Research for a Changing World – Proceedings of SAICSIT 2005, South African Institute for Computer Scientists and Information Technologists, Pretoria, South Africa, pp. 20-28. Attached Files Name Description MIMEType Size Downloads Title Evaluating parts-of-speech taggers for use in a text-to-scene conversion system Author(s) Glass, Kevin Bangay, Shaun Conference name South African institute of computer scientists and information technologists (2005: White River, South Africa) Conference location White River, South Africa Conference dates 20-22 Sept. 2005 Title of proceedings SAICSIT '05 : Research for a Changing World – Proceedings of SAICSIT 2005 Editor(s) Bishop, Judith Kourie, Derrick Publication date 2005 Series ACM International Conference Proceeding Series Conference series South African Institute for Computer Scientists and Information Technologists Conference Start page 20 End page 28 Total pages 285 p. Publisher South African Institute for Computer Scientists and Information Technologists Place of publication Pretoria, South Africa Keyword(s) corpora parts-of-speech tagging Summary This paper presents parts-of-speech tagging as a first step towards an autonomous text-to-scene conversion system. It categorizes some freely available taggers, according to the techniques used by each in order to automatically identify word-classes. In addition, the performance of each identified tagger is verified experimentally. The SUSANNE corpus is used for testing and reveals the complexity of working with different tagsets, resulting in substantially lower accuracies in our tests than in those reported by the developers of each tagger. The taggers are then grouped to form a voting system to attempt to raise accuracies, but in no cases do the combined results improve upon the individual accuracies. Additionally a new metric, agreement, is tentatively proposed as an indication of confidence in the output of a group of taggers where such output cannot be validated. ISBN 1595932585 Language eng Field of Research 080107 Natural Language Processing Socio Economic Objective 890299 Computer Software and Services not elsewhere classified HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2005, SAICSIT Persistent URL http://hdl.handle.net/10536/DRO/DU:30039203 Document type: Conference Paper Collection: School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 24 Oct 2011, 11:43:06 EST Fri, 18 Nov 2011, 14:34:46 EST Fri, 18 Nov 2011, 14:39:13 EST Fri, 18 Nov 2011, 14:45:16 EST Fri, 16 Mar 2012, 19:06:16 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 253 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 24 Oct 2011, 11:43:06 EST

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