Skip Navigation


Literary and Linguistic Computing Advance Access originally published online on April 20, 2006
Literary and Linguistic Computing 2006 21(2):179-186; doi:10.1093/llc/fql020
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
21/2/179    most recent
fql020v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Pilz, T.
Right arrow Articles by Ammon, U.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2006. Published by Oxford University Press on behalf of ALLC and ACH. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Rule-based Search in Text Databases with Nonstandard Orthography

Thomas Pilz, Wolfram Luther and Norbert Fuhr

Institute of Computer Science and Interactive Systems, University of Duisburg-Essen, Germany

Ulrich Ammon

Institute of German Language and Literature Studies, University of Duisburg-Essen, Germany

Correspondence: T. Pilz, Institute of Computer Science and Interactive systems, University of Duisburg-Essen, D-47048, Duisburg, Lotharstr. 56, Germany. E-mail: pilz{at}informatik.uni-duisburg.de
In this article, we describe our interdisciplinary project ‘Rule-based search in text databases with nonstandard orthography (RSNSR)’ in support of the conservation of cultural heritage, especially for the German reception of the philosopher Nietzsche. We present a rule-based fuzzy search engine that allows users to retrieve text data independently of its orthographical realization. The rules used are derived from statistical analyses, historical publications, linguistic principles, and expert knowledge. Our Web-based tool is intended for experts as well as interested amateurs. Along with its present features, further functions are currently worked out. Among them are automatic rule derivation and finer result classification through a generalized Levenshtein similarity measure. Our work is associated with the recently launched project Deutsch Diachron Digital (DDD) to build a complete diachronic corpus of German for the first time with texts from the ninth century (Old High German) to the present (Modern German).


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Lit Linguist ComputingHome page
T. Pilz, A. Ernst-Gerlach, S. Kempken, P. Rayson, and D. Archer
The Identification of Spelling Variants in English and German Historical Texts: Manual or Automatic?
Lit Linguist Computing, April 1, 2008; 23(1): 65 - 72.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.