Elliott, JR and Atwell, ES (2001) Visualisation of long distance grammatical collocation patterns in language. In: Banissi, E, (ed.) Proceedings of the 5th International Conference on Information Visualisation. 5th International Conference on Information Visualisation, 25-27 Jul 2001, London, UK. IEEE Computer Society , 297 - 302. ISBN 0769511953
Abstract
Research in generic unsupervised learning of language structure applied to the Search for Extra-Terrestrial Intelligence (SETI) and decipherment of unknown languages has sought to build up a generic picture of lexical and structural patterns, characteristic of natural language. As part of this toolkit, a generic system is required to facilitate the analysis of behavioural trends amongst selected pairs of terminals and non-terminals alike, regardless of which target natural language was selected. Such a tool may be useful in other areas, such as lexico-grammatical analysis or tagging of corpora. Data-oriented approaches to corpus annotation use statistical n-grams and/or constraint-based models; n-grams or constraints with wider windows can improve error rates by examining the topology of the annotation-combination space. We present a visualisation tool to help linguists find “useful” PoS-tag combinations, and cohesion between linguistic annotations at other levels, and suggest some possible applications.
Metadata
Item Type: | Proceedings Paper |
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Copyright, Publisher and Additional Information: | (c) 2001 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Jan 2015 11:22 |
Last Modified: | 19 Dec 2022 13:29 |
Published Version: | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn... |
Status: | Published |
Publisher: | IEEE Computer Society |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82246 |