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

Annanda Sousa (1) , Nicolas Ballier (2, 3) , Thomas Gaillat (4) , Bernardo Stearns (1) , Manel Zarrouk (5) , Andrew Simpkin , Manon Bouyé (2, 3)

1 NUI Galway - National University of Ireland [Galway]
2 CLILLAC-ARP (URP_3967) - Centre de Linguistique Inter-langues, de Lexicologie, de Linguistique Anglaise et de Corpus
3 UPCité - Université Paris Cité
4 LIDILE - Linguistique, Ingénierie, Didactique des Langues
5 LIPN - Laboratoire d'Informatique de Paris-Nord

This paper describes the workflow and architecture adopted by a linguistic research project on learner data. We report our experienceand present the research outputs turned into resources that we wish to share with the community. We discuss the current limitations andthe next steps that could be taken for the scaling and development of our research project. Allying NLP and language-centric AI, wediscuss similar projects and possible ways to start collaborating towards potential platform interoperability.

Mots clés: text processing; Machine Learning; Linguistic Data workflow; User Interface (UI); NLP text processing

Domaines: Linguistique; Apprentissage [cs.LG]; Informatique et langage [cs.CL]

Annanda Sousa, Nicolas Ballier, Thomas Gaillat, Bernardo Stearns, Manel Zarrouk, et al.. From Linguistic Research Projects to Language Technology Platforms: A Case Study in Learner Data. LREC2020, European Language Resources Association (ELRA), May 2020, Marseille, France. pp.112-120. ⟨hal-02634745⟩