Visualisation of long-distance grammatical collocation patterns in language

John Elliott; Eric Atwell; Bill Whyte

doi:10.1109/IV.2001.942073

Visualisation of long-distance grammatical collocation patterns in language

John Elliott
, Eric Atwell
, Bill Whyte

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings 5th International conference on Information Visualisation
Subtitle of host publication	25-27 July 2001, London, England
Editors	E. Banissi, F. Khosrowshahi, M. Sarfraz, A. Ursyn
Place of Publication	Los Alamitos, CA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	297-302
Number of pages	6
DOIs	https://doi.org/10.1109/IV.2001.942073
Publication status	Published - 7 Aug 2002
Event	Fifth International Conference on Information Visualisation - London, United Kingdom Duration: 25 Jul 2001 → 27 Jul 2001

Conference

Conference	Fifth International Conference on Information Visualisation
Country/Territory	United Kingdom
City	London
Period	25/07/01 → 27/07/01

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10.1109/IV.2001.942073

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Elliott, J., Atwell, E., & Whyte, B. (2002). Visualisation of long-distance grammatical collocation patterns in language. In E. Banissi, F. Khosrowshahi, M. Sarfraz, & A. Ursyn (Eds.), Proceedings 5th International conference on Information Visualisation: 25-27 July 2001, London, England (pp. 297-302). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IV.2001.942073

Elliott, John ; Atwell, Eric ; Whyte, Bill. / Visualisation of long-distance grammatical collocation patterns in language. Proceedings 5th International conference on Information Visualisation: 25-27 July 2001, London, England. editor / E. Banissi ; F. Khosrowshahi ; M. Sarfraz ; A. Ursyn. Los Alamitos, CA : Institute of Electrical and Electronics Engineers (IEEE), 2002. pp. 297-302

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title = "Visualisation of long-distance grammatical collocation patterns in language",

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.",

author = "John Elliott and Eric Atwell and Bill Whyte",

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doi = "10.1109/IV.2001.942073",

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editor = "E. Banissi and F. Khosrowshahi and M. Sarfraz and A. Ursyn",

booktitle = "Proceedings 5th International conference on Information Visualisation",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

note = "Fifth International Conference on Information Visualisation ; Conference date: 25-07-2001 Through 27-07-2001",

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Elliott, J, Atwell, E & Whyte, B 2002, Visualisation of long-distance grammatical collocation patterns in language. in E Banissi, F Khosrowshahi, M Sarfraz & A Ursyn (eds), Proceedings 5th International conference on Information Visualisation: 25-27 July 2001, London, England. Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, CA, pp. 297-302, Fifth International Conference on Information Visualisation, London, United Kingdom, 25/07/01. https://doi.org/10.1109/IV.2001.942073

Visualisation of long-distance grammatical collocation patterns in language. / Elliott, John; Atwell, Eric; Whyte, Bill.
Proceedings 5th International conference on Information Visualisation: 25-27 July 2001, London, England. ed. / E. Banissi; F. Khosrowshahi; M. Sarfraz; A. Ursyn. Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE), 2002. p. 297-302.

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

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AB - 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.

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BT - Proceedings 5th International conference on Information Visualisation

A2 - Banissi, E.

A2 - Khosrowshahi, F.

A2 - Sarfraz, M.

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Elliott J, Atwell E, Whyte B. Visualisation of long-distance grammatical collocation patterns in language. In Banissi E, Khosrowshahi F, Sarfraz M, Ursyn A, editors, Proceedings 5th International conference on Information Visualisation: 25-27 July 2001, London, England. Los Alamitos, CA: Institute of Electrical and Electronics Engineers (IEEE). 2002. p. 297-302 doi: 10.1109/IV.2001.942073

Visualisation of long-distance grammatical collocation patterns in language

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