A possibilistic query translation approach for cross-language information retrieval

Authors:
Wiem Ben Romdhane;Bilel Elayeb;Ibrahim Bounhas;Fabrice Evrard;Narjès Bellamine Ben Saoud
Affiliations:
RIADI Research Laboratory, ENSI, Manouba University, Tunisia;RIADI Research Laboratory, ENSI, Manouba University, Tunisia,Emirates College of Technology, Abu Dhabi, United Arab Emirates;LISI Lab. of computer science for industrial systems, ISD, Manouba University, Tunisia;IRIT-ENSEEIHT, Toulouse Cedex 7, France;RIADI Research Laboratory, ENSI, Manouba University, Tunisia
Venue:
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Year:
2013

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Abstract

In this paper, we explore several statistical methods to find solutions to the problem of query translation ambiguity. Indeed, we propose and compare a new possibilistic approach for query translation derived from a probabilistic one, by applying a classical probability-possibility transformation of probability distributions, which introduces a certain tolerance in the selection of word translations. Finally, the best words are selected based on a similarity measure. The experiments are performed on CLEF-2003 French-English CLIR collection, which allowed us to test the effectiveness of the possibilistic approach.