@InProceedings{kotani-yoshimi:2016:NLPTEA2016,
  author    = {Kotani, Katsunori  and  Yoshimi, Takehiko},
  title     = {Effectiveness of Linguistic and Learner Features to Listenability Measurement Using a Decision Tree Classifier},
  booktitle = {Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA2016)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {6--10},
  abstract  = {In learning Asian languages, learners encounter the problem of character types
	that are different from those in their first language, for instance, between
	Chinese characters and the Latin alphabet. This problem also affects listening
	because learners reconstruct letters from speech sounds. Hence, special
	attention should be paid to listening practice for learners of Asian languages.
	However, to our knowledge, few studies have evaluated the ease of listening
	comprehension (listenability) in Asian languages. Therefore, as a pilot study
	of listenability in Asian languages, we developed a measurement method for
	learners of English in order to examine the discriminability of linguistic and
	learner features. The results showed that the accuracy of our method
	outperformed a simple majority vote, which suggests that a combination of
	linguistic and learner features should be used to measure listenability in
	Asian languages as well as in English.},
  url       = {http://aclweb.org/anthology/W16-4902}
}