T. Botha ; D.G. Kourie ; B.W. Watson - A Word Game Support Tool Case Study

arima:1881 - Revue Africaine de Recherche en Informatique et Mathématiques Appliquées, November 10, 2007, Volume 6, april 2007, joint Special Issue ARIMA/SACJ on Advances in end-user data mining techniques - https://doi.org/10.46298/arima.1881
A Word Game Support Tool Case Study

Authors: T. Botha 1; D.G. Kourie 1; B.W. Watson 1

  • 1 Department of Informatics [Pretoria]

This article reports on the approach taken, experience gathered, and results found in building a tool to support the derivation of solutions to a particular kind of word game. This required that techniques had to be derived for simple yet acceptably quick access to a dictionary of natural language words (in the present case, Afrikaans). The main challenge was to access a large corpus of natural language words via a partial match retrieval technique. Other challenges included discovering how to represent such a dictionary in a "semi-compressed" format, thus arriving at a balance that favours search speed but nevertheless derives a savings on storage requirements. In addition, a query language had to be developed that would effectively exploit this access method. The system is designed to support a more intelligent query capability in the future. Acceptable response times were achieved even though an interpretive scripting language, ObjectREXX, was used.

Volume: Volume 6, april 2007, joint Special Issue ARIMA/SACJ on Advances in end-user data mining techniques
Published on: November 10, 2007
Submitted on: May 9, 2007
Keywords: support tool, case study, natural language dictionary access, word puzzle language, inverted file approach, query language, search techniques, dictionary corpus, Afrikaans language,Outil de support,Etude de cas,Accès au dictionnaire de langage naturel,Méthode d’inversion du fichier,Langage de requête,Technique de recherche,Corpus du dictionnaire,Langue Afrikaans,[INFO] Computer Science [cs],[MATH] Mathematics [math]

Consultation statistics

This page has been seen 487 times.
This article's PDF has been downloaded 381 times.