@inProceedings{Alfter-David2018-275368,
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},
}