USING NLP TO CREATE CORPUS-BASED VOCABULARY EXERCISES IN LATIN CLASSES

descriptionPublicationkeyboard_double_arrow_right Article , Presentation , Other literature type 01 Mar 2020Publisher:IATEDJournal:INTED Proceedings, volume 1, pages 1,750-1,757 (eissn: 2340-1079,

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Authors: Beyer, Andrea; Schulz, Konstantin;

doi: 10.21125/inted.2020.0562 , 10.5281/zenodo.3751098 , 10.5281/zenodo.3751097

USING NLP TO CREATE CORPUS-BASED VOCABULARY EXERCISES IN LATIN CLASSES

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Abstract

The presentation gives a short introduction to the paper published in the INTED2020 Proceedings (doi: 10.21125/inted.2020.0562). It is shown how to enhance Latin vocabulary learning by focusing on corpus-based methods using a newly developed software (the so-called Machina Callida).

Funded by the German Research Foundation (DFG), project number 316618374.

Related Organizations

German Research Centre for Artificial Intelligence
Germany
Humboldt-Universität zu Berlin
Germany

Keywords

technology enhanced language learning, Latin, language acquisition, data-driven learning, corpus-based exercises, NLP

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