@InProceedings{pilan-alfter-volodina:2016:CL4LC,
  author    = {Pil\'{a}n, Ildik\'{o}  and  Alfter, David  and  Volodina, Elena},
  title     = {Coursebook Texts as a Helping Hand for Classifying Linguistic Complexity in Language Learners' Writings},
  booktitle = {Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {120--126},
  abstract  = {We bring together knowledge from two different types of language learning data,
	texts learners read and texts they write, to improve  linguistic complexity
	classification in the latter. Linguistic complexity in the foreign and second
	language learning context can be expressed in terms of proficiency levels. We
	show that incorporating features capturing lexical complexity information from
	reading passages can boost significantly the machine learning based
	classification of learner-written texts into proficiency levels. With an F1
	score of .8 our system rivals state-of-the-art results reported for other
	languages for this task. Finally, we present a freely available web-based tool
	for proficiency level classification and lexical complexity visualization for
	both learner writings and reading texts.},
  url       = {http://aclweb.org/anthology/W16-4114}
}