Titel: Automatically Linking Dictionaries of Gallo-Romance Languages Using Etymological Information
Personen:Renders, Pascale/Dethier, Gérard/Baiwir, Esther
Jahr: 2015
Typ: Aufsatz
Verlag: Trojina, Institute for Applied Slovene Studies/ Lexical Computing Ltd.
Ortsangabe: Ljubljana/ Brighton
In: Kosem, Iztok/Jakubíček, Miloš/Kallas, Jelena/Krek, Simon (Hgg.): Electronic lexicography in the 21st century: linking lexical data in the digital age. Proceedings of the eLex 2015 conference, 11 - 13 August 2015, Herstmonceux Castle, United Kingdom
Seiten: 452-460
Untersuchte Sprachen: Französisch*French
Schlagwörter: Datenmodellierung*data modelling
Etymologie im Wörterbuch*etymology in dictionaries
historische Lexikografie*historical lexicography
Internet-Lexikografie/Online-Lexikografie*internet lexicography/online lexicography
Verlinkung/Verweis*cross-references
Medium: Online
URI: https://elex.link/elex2015/conference-proceedings/
Zuletzt besucht: 22.10.2018
Abstract: How could we link together digital dictionaries which have no common lexical units, but deal with the same linguistic area? And how could we do that automatically, in order to ensure that all future updates of these dictionaries are taken into account in the linking process? This contribution exposes the solutions that we propose in the field of French and Gallo-Romance historical lexicography. The digitalisation currently in progress of a work of scientific reference, i.e. the Französisches Etymologisches Wörterbuch (FEW), gives us a mean to link together other dictionaries, such as the Dictionnaire Etymologique de l’Ancien Français (DEAF), the Dictionnaire du Moyen Français (DMF), the Anglo-Norman Dictionary (AND), or the Atlas Linguistique de la Wallonie (ALW), through the use of the references of these dictionaries to the FEW. Concrete examples of linking lexical data are discussed in this context. We also describe a simple peer-to-peer protocol allowing e-dictionaries to be automatically linked in a distributed way using the references of their articles. An implementation based on a simple REST API is suggested to let teams maintaining different e-dictionaries keep their own technologies and data schema.