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Automatic Selection of Suitable Sentences for Language Learning Exercises

Conference contribution
Authors Ildikó Pilán
Elena Volodina
Richard Johansson
Published in 20 Years of EUROCALL: Learning from the Past, Looking to the Future. 2013 EUROCALL Conference, 11th to 14th September 2013 Évora, Portugal, Proceedings.
Pages 218-225
ISBN 978-1-908416-12-4
Publication year 2013
Published at Department of Swedish
Pages 218-225
Language en
Keywords sentence readability, Swedish, NLP, ICALL, CEFR, GDEX, machine learning
Subject categories Computational linguistics


In this study we investigated second and foreign language (L2) sentence readability, an area little explored so far in the case of several languages, including Swedish. The outcome of our research consists of two methods for sentence selection from native language corpora based on Natural Language Processing (NLP) and machine learning (ML) techniques. The two approaches have been made available online within Lärka, an Intelligent CALL (ICALL) platform offering activities for language learners and students of linguistics. Such an automatic selection of suitable sentences can be valuable for L2 teachers during the creation of new teaching materials, for L2 students who look for additional self-study exercises as well as for lexicographers in search of example sentences to illustrate the meaning of a vocabulary item. Members from all these potential user groups evaluated our methods and found the majority of the sentences selected suitable for L2 learning purposes.

Page Manager: Webmaster|Last update: 9/11/2012

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