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International Conference on Information Technology: Coding and Computing
On Arabic-English Cross-Language Information Retrieval: A Machine Translation Approach
Las Vegas, Nevada
April 08-April 10
ISBN: 0-7695-1506-1
ASCII Text
x 
 
Mohammed Aljlayl, Ophir Frieder, David Grossman, "On Arabic-English Cross-Language Information Retrieval: A Machine Translation Approach," Information Technology: Coding and Computing, International Conference on, pp. 0002, International Conference on Information Technology: Coding and Computing, 2002.
 
 
BibTex
x
 
@article{ 10.1109/ITCC.2002.1000351,
author = {Mohammed Aljlayl and Ophir Frieder and David Grossman},
title = {On Arabic-English Cross-Language Information Retrieval: A Machine Translation Approach},
journal ={Information Technology: Coding and Computing, International Conference on},
volume = {0},
year = {2002},
isbn = {0-7695-1506-1},
pages = {0002},
doi = {http://doi.ieeecomputersociety.org/10.1109/ITCC.2002.1000351},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Technology: Coding and Computing, International Conference on
TI - On Arabic-English Cross-Language Information Retrieval: A Machine Translation Approach
SN - 0-7695-1506-1
SP
EP
A1 - Mohammed Aljlayl,
A1 - Ophir Frieder,
A1 - David Grossman,
PY - 2002
KW - Arabic
KW - cross-language information retrieval
KW - machine translation
VL - 0
JA - Information Technology: Coding and Computing, International Conference on
ER -
 
Mohammed Aljlayl, Illinois Institute of Technology
Ophir Frieder, Illinois Institute of Technology
David Grossman, Illinois Institute of Technology
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.
Index Terms:
Arabic, cross-language information retrieval, machine translation
Citation:
Mohammed Aljlayl, Ophir Frieder, David Grossman, "On Arabic-English Cross-Language Information Retrieval: A Machine Translation Approach," itcc, pp.0002, International Conference on Information Technology: Coding and Computing, 2002
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