@InProceedings{ehara:2017:I17-2,
  author    = {Ehara, Yo},
  title     = {Language-Independent Prediction of Psycholinguistic Properties of Words},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {330--336},
  abstract  = {The psycholinguistic properties of words, namely, word familiarity, age of
	acquisition, concreteness, and imagery, have been reported to be effective for
	educational natural language-processing tasks. Previous studies on predicting
	the values of these properties rely on language-dependent features. This paper
	is the first to propose a practical language-independent method for predicting
	such values by using only a large raw corpus in a language. Through
	experiments, our method successfully predicted the values of these properties
	in two languages. The results for English were competitive with the reported
	accuracy achieved using features specific to English.},
  url       = {http://www.aclweb.org/anthology/I17-2056}
}