Multilingual CALL framework for automatic language exercise generation from free text

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To access the full text documents, please follow this link: http://hdl.handle.net/10230/33297

dc.contributor.author	Perez Miguel, Naiara
dc.contributor.author	Cuadros Oller, Montse
dc.date	2017
dc.identifier.citation	Perez N, Cuadros M. Multilingual CALL framework for automatic language exercise generation from free text. In: Martins A, Peñas A, editors. EACL 2017. 15th Conference of the European Chapter of the Association for Computatinal Linguistics. Proceedings of the Software Demonstrations; 2017 Apr 3-7; Valencia, Spain. Stroudsburg (PA): ACL; 2017. p. 49-52.
dc.identifier.uri	http://hdl.handle.net/10230/33297
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	ACL (Association for Computational Linguistics)
dc.relation	Martins A, Peñas A, editors. EACL 2017. 15th Conference of the European Chapter of the Association for Computatinal Linguistics. Proceedings of the Software Demonstrations; 2017 Apr 3-7; Valencia, Spain. Stroudsburg (PA): ACL; 2017. p. 49-52.
dc.relation	info:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-1-R
dc.rights	© ACL, Creative Commons Attribution 4.0 License
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by/4.0/
dc.subject	Tractament del llenguatge natural (Informàtica)
dc.title	Multilingual CALL framework for automatic language exercise generation from free text
dc.type	info:eu-repo/semantics/conferenceObject
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	Comunicació presentada a la 15th Conference of the European Chapter of the Association for Computatinal Linguistics (EACL 2017), celebrada els dies 3 a 7 d'abril de 2017 a València, Espanya.
dc.description.abstract	This paper describes a web-based application to design and answer exercises for language learning. It is available in Basque, Spanish, English, and French. Based on open-source Natural Language Processing (NLP) technology such as word embedding models and word sense disambiguation, the system enables users to create automatically and in real time three types of exercises, namely, Fill-inthe-Gaps, Multiple Choice, and Shuffled Sentences questionnaires. These are generated from texts of the users’ own choice, so they can train their language skills with content of their particular interest.
dc.description.abstract	This work has been funded by the Spanish Government (project TIN2015-65308-C5-1-R).

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