Computational analysis of medieval manuscripts: a new tool for analysis and mapping of medieval documents to modern orthography

Show simple item record Ahmad, Mushtag Gruner, Stefan Afzal, Muhammad Tanvir 2013-06-21T13:41:59Z 2013-06-21T13:41:59Z 2012-12-01
dc.description.abstract Medieval manuscripts or other written documents from that period contain valuable information about people, religion, and politics of the medieval period, making the study of medieval documents a necessary pre-requisite to gaining in-depth knowledge of medieval history. Although tool-less study of such documents is possible and has been ongoing for centuries, much subtle information remains locked such manuscripts unless it gets revealed by effective means of computational analysis. Automatic analysis of medieval manuscripts is a non-trivial task mainly due to non-conforming styles, spelling peculiarities, or lack of relational structures (hyper-links), which could be used to answer meaningful queries. Natural Language Processing (NLP) tools and algorithms are used to carry out computational analysis of text data. However due to high percentage of spelling variations in medieval manuscripts, NLP tools and algorithms cannot be applied directly for computational analysis. If the spelling variations are mapped to standard dictionary words, then application of standard NLP tools and algorithms becomes possible. In this paper we describe a web-based software tool CAMM (Computational Analysis of Medieval Manuscripts) that maps medieval spelling variations to a modern German dictionary. Here we describe the steps taken to acquire, reformat, and analyze data, produce putative mappings as well as the steps taken to evaluate the findings. At the time of the writing of this paper, CAMM provides access to 11275 manuscripts organized into 54 collections containing a total of 242446 distinctly spelled words. CAMM accurately corrects spelling of 55% percent of the verifiable words. en_US
dc.description.librarian am2013 en_US
dc.description.sponsorship Thanks to Georg Vogeler for his valuable suggestions about the algorithms. Thanks also to Jochen Graf and the Monasterium consortium for having given us access to the medieval dataset and for sharing valuable information about the existing EditMOM tools. Thanks to the Athabasca University, for providing a server to launch this tool, and thanks to theWeb Unit of the Computing Services Department at Athabasca for keeping the link alive. en_US
dc.description.uri;internal&action=noaction&Parameter=1208164030958 en_US
dc.format.extent 21 p. en_US
dc.format.medium PDF en_US
dc.identifier.citation Ahmad, M, Gruner, S & Afzal, MT 2012, 'Computational analysis of medieval manuscripts : a new tool for analysis and mapping of medieval documents to modern orthography', Journal of Universal Computer Science, vol. 18, no. 20, pp. 2750-2770. en_US
dc.identifier.issn 0948-695X
dc.language.iso en en_US
dc.publisher Graz University of Technology en_US
dc.rights © J.UCS en_US
dc.subject MPEG spelling variations en_US
dc.subject Phonetic algorithms en_US
dc.subject Computational Analysis of Medieval Manuscripts (CAMM) en_US
dc.title Computational analysis of medieval manuscripts: a new tool for analysis and mapping of medieval documents to modern orthography en_US
dc.type Article en_US

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