From Linguistic Research Projects to Language Technology Platforms: A Case Study in Learner Data

Annanda Sousa, Nicolas Ballier, Thomas Gaillat, Bernardo Stearns, Manel Zarrouk, Andrew Simpkin, Manon Bouyé


Abstract
This paper describes the workflow and architecture adopted by a linguistic research project. We report our experience and present the research outputs turned into resources that we wish to share with the community. We discuss the current limitations and the next steps that could be taken for the scaling and development of our research project. Allying NLP and language-centric AI, we discuss similar projects and possible ways to start collaborating towards potential platform interoperability.
Anthology ID:
2020.iwltp-1.17
Volume:
Proceedings of the 1st International Workshop on Language Technology Platforms
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Georg Rehm, Kalina Bontcheva, Khalid Choukri, Jan Hajič, Stelios Piperidis, Andrejs Vasiļjevs
Venue:
IWLTP
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
112–120
Language:
English
URL:
https://aclanthology.org/2020.iwltp-1.17
DOI:
Bibkey:
Cite (ACL):
Annanda Sousa, Nicolas Ballier, Thomas Gaillat, Bernardo Stearns, Manel Zarrouk, Andrew Simpkin, and Manon Bouyé. 2020. From Linguistic Research Projects to Language Technology Platforms: A Case Study in Learner Data. In Proceedings of the 1st International Workshop on Language Technology Platforms, pages 112–120, Marseille, France. European Language Resources Association.
Cite (Informal):
From Linguistic Research Projects to Language Technology Platforms: A Case Study in Learner Data (Sousa et al., IWLTP 2020)
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PDF:
https://aclanthology.org/2020.iwltp-1.17.pdf