Languages Resources for Poorly Endowed Languages : The Case Study of Classical Armenian

Chahan Vidal-Gorène, Aliénor Decours-Perez


Abstract
Classical Armenian is a poorly endowed language, that despite a great tradition of lexicographical erudition is coping with a lack of resources. Although numerous initiatives exist to preserve the Classical Armenian language, the lack of precise and complete grammatical and lexicographical resources remains. This article offers a situation analysis of the existing resources for Classical Armenian and presents the new digital resources provided on the Calfa platform. The Calfa project gathers existing resources and updates, enriches and enhances their content to offer the richest database for Classical Armenian today. Faced with the challenges specific to a poorly endowed language, the Calfa project is also developing new technologies and solutions to enable preservation, advanced research, and larger systems and developments for the Armenian language
Anthology ID:
2020.lrec-1.385
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
3145–3152
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.385
DOI:
Bibkey:
Cite (ACL):
Chahan Vidal-Gorène and Aliénor Decours-Perez. 2020. Languages Resources for Poorly Endowed Languages : The Case Study of Classical Armenian. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3145–3152, Marseille, France. European Language Resources Association.
Cite (Informal):
Languages Resources for Poorly Endowed Languages : The Case Study of Classical Armenian (Vidal-Gorène & Decours-Perez, LREC 2020)
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PDF:
https://aclanthology.org/2020.lrec-1.385.pdf