Deep encoding of etymological information in TEI - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Journal of the Text Encoding Initiative Year : 2017

Deep encoding of etymological information in TEI

Abstract

This paper aims to provide a comprehensive modeling and representation of etymological data in digital dictionaries. The purpose is to integrate in one coherent framework both digital representations of legacy dictionaries, and also born-digital lexical databases that are constructed manually or semi-automatically. We want to propose a systematic and coherent set of modeling principles for a variety of etymological phenomena that may contribute to the creation of a continuum between existing and future lexical constructs, where anyone interested in tracing the history of words and their meanings will be able to seamlessly query lexical resources. Instead of designing an ad hoc model and representation language for digital etymological data, we will focus on identifying all the possibilities offered by the TEI guidelines for the representation of lexical information.
Fichier principal
Vignette du fichier
Deep encoding of etymological information in TEI_Final.pdf (1.62 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01296498 , version 1 (01-04-2016)
hal-01296498 , version 2 (30-11-2016)

Licence

Attribution

Identifiers

Cite

Jack Bowers, Laurent Romary. Deep encoding of etymological information in TEI. Journal of the Text Encoding Initiative, 2017, 10, ⟨10.4000/jtei.1643⟩. ⟨hal-01296498v2⟩
1132 View
793 Download

Altmetric

Share

Gmail Facebook X LinkedIn More