Skip Navigation

Literary and Linguistic Computing 2001 16(2):135-151; doi:10.1093/llc/16.2.135
© 2001 by Association for Literary & Linguistic Computing
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Manning, C. D.
Right arrow Articles by Indurkhya, N.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?


Articles

Kirrkirr: Software for Browsing and Visual Exploration of a Structured Warlpiri Dictionary

Christopher D. Manning, Kevin Jansz and Nitin Indurkhya

Stanford University Stanford, CA, USA
University of Sydney Sydney, NSW, Australia
Nanyang Technological University Singapore

Correspondence: Christopher Manning, Department of Computer Science, Gates 4A, 353 Serra Mail, Stanford, CA 94305-9040, USA. E-mail: manning{at}cs.stanford.edu
This paper presents an overview of the goals, architecture, and usability of Kirrkirr, a Java-based visualization tool for XML dictionaries, currently being used with a dictionary for Warlpiri, an Australian Aboriginal language. It discusses the underlying lexicon structure, and shows how a computer interface can effectively select from and display that content in various ways. The views of the dictionary include a graph view, which shows a network of semantically related words, and a formatted text view that can be customized via XSLT stylesheets. The paper argues that indigenous language dictionaries have normally been written for linguists, whereas the educational needs of other users have not been adequately met. It discusses the strengths of a computer dictionary interface in providing more help to native speaker users than a conventional dictionary, but argues that the possibilities for the visualization of dictionary information on computers have so far been insufficiently exploited. The paper concludes by briefly discussing observational and task-based testing of the dictionary with native speakers and learners.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.