Abstract
The use of linked data within languagelearning applications is an open research question. A research prototype is presented that applies linked-data principles to store linguistic annotation generated from language-learning content using a variety of NLP tools. The result is a database that links learning content, linguistic annotation and open-source resources, on top of which a diverse range of tools for language-learning applications can be built.
Cite
CITATION STYLE
Loughnane, R., McCurdy, K., Kolb, P., & Selent, S. (2017). Linked data for language-learning applications. In EMNLP 2017 - 12th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2017 - Proceedings of the Workshop (pp. 44–51). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-5005
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