Accessing the content of greek historical documents

dc.contributor.author	Κεσίδης, Αναστάσιος Λ.	el
dc.contributor.author	Γαλιώτου, Ελένη	el
dc.contributor.author	Γάτος, Βασίλειος	el
dc.contributor.author	Λαμπρόπουλος, Αριστομένης Σ.	el
dc.contributor.author	Πρατικάκης, Ιωάννης Ε.	el
dc.date.accessioned	2015-05-24T20:20:56Z
dc.date.available	2015-05-24T20:20:56Z
dc.date.issued	2015-05-24
dc.identifier.uri	http://hdl.handle.net/11400/11087
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://dl.acm.org/citation.cfm?doid=1568296.1568307	el
dc.subject	Natural language processing (Computer science)
dc.subject	Computational morphology
dc.subject	Υπολογιστική μορφολογία
dc.subject	Historical document indexing
dc.subject	Ιστορική ευρετηρίαση έγγραφου
dc.subject	Επεξεργασία φυσικής γλώσσας
dc.subject	Word spotting
dc.subject	Εντοπισμός λέξεων
dc.title	Accessing the content of greek historical documents	el
heal.type	conferenceItem
heal.classification	Computer science
heal.classification	Information systems
heal.classification	Πληροφορική
heal.classification	Πληροφοριακά συστήματα
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	http://skos.um.es/unescothes/C01993
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	N/A-Πληροφοριακά συστήματα
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh88002425
heal.contributorName	Μανωλέσσου, Ιωάννα	el
heal.contributorName	Ράλλη, Αγγελική	el
heal.identifier.secondary	ISBN: 978-160558496-6
heal.identifier.secondary	DOI: 10.1145/1568296.1568307
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2009-07
heal.bibliographicCitation	Kesidis, A. L., Galiotou, E., Gatos, B., Lampropoulos, A. S., Pratikakis, I. E., et.al. (2009). Accessing the content of greek historical documents. 3rd Workshop on Analytics for Noisy Unstructured Text Data(AND). Barcelona, Spain. 23-24 July 2009. pp 55-62. Available from: http://dl.acm.org/citation.cfm?doid=1568296.1568307.	en
heal.abstract	In this paper, we propose an alternative method for accessing the content of Greek historical documents printed during the 17th and 18th centuries by searching words directly in digitized documents based on word spotting, without the use of an optical character recognition engine. We describe a methodology according to which synthetic word images are created from keywords. These images are compared to all the words in the digitized documents while user feedback is used in order to refine the search procedure. In order to improve the efficiency of accessing and searching, we have used natural language processing techniques that comprise (i) a morphological generator for early Modern Greek which provides the users with the ability to search documents using only a word stem and locate all the corresponding inflected word forms and (ii) a synonym dictionary which facilitates access to the semantic context of documents and enriches the results of the search process.	en
heal.publisher	ACM	en
heal.fullTextAvailability	true
heal.conferenceName	Workshop on Analytics for Noisy Unstructured Text Data	en
heal.conferenceItemType	full paper