Developing a dynamic, multilingual, sense-sensitive dictionary from Web search interactions

Gavin Smith, Student, School of Computer and Information Science, University of South Australia. Email: smigs003@students.unisa.edu.au

Mark Truran, Lecturer, Department of Computer Science, Teesside University, United Kingdom. Email: m.a.truran@tees.ac.uk

Helen Ashman, Associate Professor, School of Computer and Information Science, University of South Australia. Email: Helen.Ashman@unisa.edu.au

Keywords

Clustering, cross-language information retrieval, translation, semantics, emergent intelligence.

Abstract

Recently a number of dynamic techniques based on the Internet have been developed addressing specific issues within the field of information retrieval. While complementary to each other in many cases, such techniques have been developed in isolation with specific goals and promising results. Of note to the field of cross-language information retrieval (CLIR) is progress along the fronts of disambiguation and synonym generation, using dynamic term acquisition. Together they provide the basis for the development of a promising resource for CLIR - a dynamic (in the sense of term acquisition), sense-sensitive, multilingual dictionary. Such a resource has large potential, directly targeting the open out-of-vocabulary problem. Specifically this paper indicates work on extending and merging two approaches, namely co-active intelligence and query clustering.