NDLI: How Effective is Stemming and Decompounding for German Text Retrieval?

Content Provider	Springer Nature Link
Author	Braschler, Martin Ripplinger, Bärbel
Copyright Year	2004
Abstract	Information retrieval systems operating on free text face difficulties when word forms used in the query and documents do not match. The usual solution is the use of a “stemming component” that reduces related word forms to a common stem. Extensive studies of such components exist for English, but considerably less is known for other languages. Previously, it has been claimed that stemming is essential for highly declensional languages. We report on our experiments on stemming for German, where an additional issue is the handling of compounds, which are formed by concatenating several words. The major contribution of our work that goes beyond its focus on German lies in the investigation of a complete spectrum of approaches, ranging from language-independent to elaborate linguistic methods. The main findings are that stemming is beneficial even when using a simple approach, and that carefully designed decompounding, the splitting of compound words, remarkably boosts performance. All findings are based on a thorough analysis using a large reliable test collection.
Starting Page	291
Ending Page	316
Page Count	26
File Format	PDF
ISSN	13864564
Journal	Information Retrieval
Volume Number	7
Issue Number	3-4
e-ISSN	15737659
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2004-01-01
Publisher Place	Boston
Access Restriction	Subscribed
Subject Keyword	Data Structures, Cryptology and Information Theory Management of Computing and Information Systems
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Information Systems

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