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	title        = {Towards Single Word Lexical Complexity Prediction.},
	abstract     = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.},
	booktitle    = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018},
	author       = {Alfter, David and Volodina, Elena},
	year         = {2018},
	publisher    = {Association of Computational Linguistics},
	address      = {Stroudsburg, PA },
	ISBN         = {978-1-948087-11-7},