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On Arabic-English Cross-Language Information Retrieval: A Machine Translation Approach
 

Summary: On Arabic-English Cross-Language Information Retrieval:
A Machine Translation Approach
Mohammed Aljlayl, Ophir Frieder, & David Grossman
Information Retrieval Laboratory
Illinois Institute of Technology
{aljlayl, ophir, dagr}@ir.iit.edu
Abstract
A Machine Translation (MT) system is an automatic
process that translates from one human language to
another language by using context information. We
evaluate the use of an MT-based approach for query
translation in an Arabic-English Cross-Language
Information Retrieval (CLIR) system. We empirically
evaluate the use of an MT-based approach for query
translation in an Arabic-English CLIR system using the
TREC-7 and TREC-9 topics and collections. The effect of
query length on the performance of the machine
translation is also investigated to explore how much
context is actually required for successful MT processing.
1. Introduction

  

Source: Argamon, Shlomo - Department of Computer Science, Illinois Institute of Technology
Illinois Institute of Technology, Information Retrieval Laboratory

 

Collections: Computer Technologies and Information Sciences