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Title: Creating vocabulary exercises through NLP
Author: Agirrezabal, Manex
Altuna, Begoña
Gil Vallejo, Lara  
Goikoetxea, Josu
Gonzalez Dios, Itziar
Others: University of Copenhagen
Universidad del País Vasco
Universitat Oberta de Catalunya (UOC)
Keywords: natural language processing
text transformation
vocabulary learning
Issue Date: 12-May-2019
Publisher: CEUR Workshop Proceedings
Citation: Agirrezabal, M., Altuna, B., Gil-Vallejo, L., Goikoetxea, J. & Gonzalez-Dios, I. (2019). Creating vocabulary exercises through NLP. CEUR Workshop Proceedings, 2364(), 18-32.
Published in: Digital Humanities in the Nordic Countries, Copenhagen, Dinamarca, 5-8, març de 2019
Also see: http://ceur-ws.org/Vol-2364/2_paper.pdf
Abstract: The use of technologies in Humanities opens new research opportunities as it allows the access to vast amounts of data such as textual corpora. As, in the Digital Humanities domain, a considerable amount of the research is done on digitised corpora, Natural Language Processing tools can be of much help in their exploitation for they help extracting linguistic information. We present a series of experiments in which we propose text transformations to generate vocabulary learning exercises based on Natural Language Processing. We describe the corpus, databases and tools we have employed in our approach and we offer an overview of a multilingual language processing pipeline. Then we present the experiments and their output. We finally discuss the strengths and shortcomings of our approach.
Language: English
URI: http://hdl.handle.net/10609/104206
ISSN: 1613-0073MIAR
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