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	title        = {Automatic Selection of Suitable Sentences  for Language Learning Exercises},
	abstract     = {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 
	booktitle    = {20 Years of EUROCALL: Learning from the Past, Looking to the Future. 2013 EUROCALL Conference, 11th  to 14th September 2013 Évora, Portugal, Proceedings.},
	author       = {Pilán, Ildikó and Volodina, Elena and Johansson, Richard},
	year         = {2013},
	ISBN         = {978-1-908416-12-4},
	pages        = {218--225},

	title        = {Towards a gold standard for Swedish CEFR-based ICALL},
	abstract     = {In qualitative projects on ICALL (Intelligent Computer-Assisted Language Learning), research and development always go hand
in hand: development both depends upon the research results and dictates the research agenda. Likewise, in the development of the Swedish ICALL platform Lärka, the practical issues of development have dictated its research agenda. With NLP approaches, sooner or later, the necessity for reliable training data becomes unavoidable. At the moment Lärka's research agenda cannot be addressed without access to reliable training data, so-called “gold standard”. This paper
gives an overview of the current state of the Swedish ICALL platform development and related research agenda, and describes the first attempts to collect the reference corpus (“gold standard”) coming from course books
used in CEFR-based language teaching.},
	booktitle    = {Proceedings of the Second Workshop on NLP for Computer-Assisted Language Learning. NEALT Proceedings Series 17. Nodalida 2013, Oslo, Norway. },
	author       = {Volodina, Elena and Pijetlovic, Dijana and Pilán, Ildikó and Johansson Kokkinakis, Sofie},
	year         = {2013},
	ISBN         = {978-91-7519-588-9},