Ve’rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement

Khalid Alnajjar, Mika Hämäläinen, Jack Rueter, Niko Partanen


Abstract
We present an open-source online dictionary editing system, Ve′rdd, that offers a chance to re-evaluate and edit grassroots dictionaries that have been exposed to multiple amateur editors. The idea is to incorporate community activities into a state-of-the-art finite-state language description of a seriously endangered minority language, Skolt Sami. Problems involve getting the community to take part in things above the pencil-and-paper level. At times, it seems that the native speakers and the dictionary oriented are lacking technical understanding to utilize the infrastructures which might make their work more meaningful in the future, i.e. multiple reuse of all of their input. Therefore, our system integrates with the existing tools and infrastructures for Uralic language masking the technical complexities behind a user-friendly UI.
Anthology ID:
2020.coling-demos.1
Volume:
Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations
Month:
December
Year:
2020
Address:
Barcelona, Spain (Online)
Editors:
Michal Ptaszynski, Bartosz Ziolko
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics (ICCL)
Note:
Pages:
1–6
Language:
URL:
https://aclanthology.org/2020.coling-demos.1
DOI:
10.18653/v1/2020.coling-demos.1
Bibkey:
Cite (ACL):
Khalid Alnajjar, Mika Hämäläinen, Jack Rueter, and Niko Partanen. 2020. Ve’rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement. In Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations, pages 1–6, Barcelona, Spain (Online). International Committee on Computational Linguistics (ICCL).
Cite (Informal):
Ve’rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement (Alnajjar et al., COLING 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.coling-demos.1.pdf
Code
 mokha/verdd