NDLI: Concept search in Urdu

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Concept search in Urdu

Content Provider	ACM Digital Library
Author	Riaz, Kashif
Abstract	This paper describes a thesis proposal to do concept search in non English and non European languages. Urdu is chosen as an example language because of its unique nature, morphology and a large number of speakers. Besides its importance, Urdu does not have adequate language resources to do intellectual research in Information Retrieval (IR). It is shown that methods used for English language for concept searching are inadequate for Urdu. Some novel approaches for concept searching are also presented. Pre-processing IR tasks such as stop word identification and stemming require complex research for a morphological rich language like Urdu. Named-entity identification is hypothesized to be useful in determining the concept being sought by the user and research plan includes an implementation of named-entity identification for Urdu. An Urdu language toolkit will be made available to the IR community for Urdu language processing. Finally, a TREC like evaluation criteria is presented with relevance judgments, test collection and queries for Urdu IR.
Starting Page	33
Ending Page	40
Page Count	8
File Format	PDF
ISBN	9781605582573
DOI	10.1145/1458550.1458557
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-10-30
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Evaluation Concept search Urdu Stemming
Content Type	Text
Resource Type	Article

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