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Developing an annotator for Latin texts using Wikipedia

Authors :
Guarasci, Raffaele
Università degli Studi di Salerno (UNISA)
Source :
Journal of Data Mining and Digital Humanities, Journal of Data Mining and Digital Humanities, Episciences.org, In press
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

International audience; This work investigates the feasibility of using Wikipedia as a resource for annotations of Latin texts. Although Wikipedia is an excellent resource from which to extract many kinds of information (morphological, syntactic and semantic) to be used in NLP tasks on modern languages, it was rarely applied to perform NLP tasks for the Latin language. The work presents the first steps of the development of a POS Tagger based on the Latin version of Wiktionary and a Wikipedia-based semantic annotator.

Details

Language :
English
ISSN :
24165999
Database :
OpenAIRE
Journal :
Journal of Data Mining and Digital Humanities, Journal of Data Mining and Digital Humanities, Episciences.org, In press
Accession number :
edsair.dedup.wf.001..fa899d4188f31d409ad426a4cc8ea70d