Please use this identifier to cite or link to this item:
doi:10.22028/D291-24882
Title: | On virtual partitioning of large dictionaries for contextual post-processing to improve character recognition |
Author(s): | Hoch, Rainer |
Language: | English |
Year of Publication: | 1993 |
OPUS Source: | Kaiserslautern ; Saarbrücken : DFKI, 1993 |
SWD key words: | Künstliche Intelligenz Wissensrepräsentation Generator <Informatik> |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | This paper presents a new approach to the partitioning of large dictionaries by virtual views. The basic idea is that additional knowledge sources of text recognition and text analysis are employed for fast dictionary look-up in order to prune search space through static or dynamic views. The heart of the system is a redundant hashing technique which involves a set of hash functions dealing with noisy input efficiently. Currently, the system is composed of two main system components: the dictionary generator and the dictionary controller. While the dictionary generator initially builds the system by using profiles and source dictionaries, the controller allows the flexible integration of different search heuristics. Results prove that our system achieves a respectable speed-up of dictionary access time. |
Link to this record: | urn:nbn:de:bsz:291-scidok-36381 hdl:20.500.11880/24938 http://dx.doi.org/10.22028/D291-24882 |
Series name: | Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x] |
Series volume: | 93-45 |
Date of registration: | 24-Jun-2011 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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RR_93_45.pdf | 12,63 MB | Adobe PDF | View/Open |
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