Visualisation of long-distance grammatical collocation patterns in language

John Elliott, Eric Atwell, Bill Whyte

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

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.
Original languageEnglish
Title of host publicationProceedings 5th International conference on Information Visualisation
Subtitle of host publication25-27 July 2001, London, England
EditorsE. Banissi, F. Khosrowshahi, M. Sarfraz, A. Ursyn
Place of PublicationLos Alamitos, CA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages297-302
Number of pages6
DOIs
Publication statusPublished - 7 Aug 2002
EventFifth International Conference on Information Visualisation - London, United Kingdom
Duration: 25 Jul 200127 Jul 2001

Conference

ConferenceFifth International Conference on Information Visualisation
Country/TerritoryUnited Kingdom
CityLondon
Period25/07/0127/07/01

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