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Summary: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 57(6):728739, 2006
The need for effective identity matching systems has
led to extensive research in the area of name search.
For the most part, such work has been limited to English
and other Latin-based languages. Consequently, algo-
rithms such as Soundex and n-gram matching are of
limited utility for languages such as Arabic, which has
vastly different morphologic features that rely heavily
on phonetic information. The dearth of work in this field
is partly caused by the lack of standardized test data.
Consequently, we have built a collection of 7,939 Arabic
names, along with 50 training queries and 111 test
queries. We use this collection to evaluate a variety of
algorithms, including a derivative of Soundex tailored to
Arabic (ASOUNDEX), measuring effectiveness by using
standard information retrieval measures. Our results
show an improvement of 70% over existing approaches.
Introduction
Identity matching systems frequently employ name
search algorithms to locate relevant information about a
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