Towards Universal Text Retrieval: Tipster Text Retrieval Research at New Mexico State University

New Mexico State University's Computing Research Lab has participated in research in all three phases of the US Government's Tipster program. Our work on information retrieval has focused on research and development of multilingual and cross-language approaches to automatic retrieval. The...

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Bibliographic Details
Published in:Information retrieval (Boston) 2000-12, Vol.3 (4), p.339-356
Main Authors: Davis, Mark W, Ogden, William C
Format: Article
Language:English
Subjects:
Colleges & universities
Document management
Information retrieval
Information systems
Interactive systems
Language
Languages
Libraries
Machine translation
Morphology
Multilingualism
Queries
R&D
Research & development
Studies
Systems development
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Summary:New Mexico State University's Computing Research Lab has participated in research in all three phases of the US Government's Tipster program. Our work on information retrieval has focused on research and development of multilingual and cross-language approaches to automatic retrieval. The work on automatic systems has been supplemented by additional research into the role of the IR system user in interactive retrieval scenarios: monolingual, multilingual and cross-language. The combined efforts suggest that "universal" text retrieval, in which a user can find, access and use documents in the face of language differences and information overload, may be possible. [PUBLICATION ABSTRACT]
ISSN:1386-4564
1573-7659
DOI:10.1023/A:1009907816505