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
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
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 SizeFormat 
RR_93_45.pdf12,63 MBAdobe PDFView/Open

Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.