Linked Data for Language-Learning Applications

نویسندگان

  • Robyn Loughnane
  • Kate McCurdy
  • Peter Kolb
  • Stefan Selent
چکیده

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.

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تاریخ انتشار 2017