Until now infrequent terms have been neglected in searching in order to save time
and memory. With the help of a cascaded index and the introduced algorithms,
such considerations are no longer necessary.
A fast and efficient method was developed in order to find all terms in the
largest freely available corpus of texts in the German language by exact search,
part-word-search and fuzzy search.
The process can be extended to include transliterated passages.
In addition, documents that contain the term with a modified spelling, can
also be found by a fuzzy search.
Time and memory requirements are determined and fall considerably below
the requests of common search engines.
| Identifer | oai:union.ndltd.org:uni-osnabrueck.de/oai:repositorium.ub.uni-osnabrueck.de:urn:nbn:de:gbv:700-201101107278 |
| Date | 10 January 2011 |
| Creators | Gerhards, Karl |
| Contributors | Prof. Dr. Kai-Uwe Kühnberger, PD Dr. Helmar Gust |
| Source Sets | Universität Osnabrück |
| Language | German |
| Detected Language | English |
| Type | doc-type:doctoralThesis |
| Format | application/pdf, application/zip |
| Rights | Namensnennung-NichtKommerziell-KeineBearbeitung 3.0 Unported, http://creativecommons.org/licenses/by-nc-nd/3.0/ |
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