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Kettunen, 2007 - Google Patents

Reductive and generative approaches to morphological variation of keywords in monolingual information retrieval

Kettunen, 2007

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Document ID
961884790668560642
Author
Kettunen K
Publication year

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Snippet

Our main contribution was to show that generative methods are also appropriate for information retrieval (IR) in morphologically complex languages in a bestmatch retrieval environment. For Finnish we evaluated inflectional stem generation and its enhancements …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
    • G—PHYSICS
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    • G06F17/30634—Querying
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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