@InProceedings{cao-dacunha-iruskieta:2016:NLPTEA2016,
  author    = {Cao, Shuyuan  and  da Cunha, Iria  and  Iruskieta, Mikel},
  title     = {A Corpus-based Approach for Spanish-Chinese Language Learning},
  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     = {97--106},
  abstract  = {Due to the huge population that speaks Spanish and Chinese, these languages
	occupy an important position in the language learning studies. Although there
	are some automatic translation systems that benefit the learning of both
	languages, there is enough space to create resources in order to help language
	learners. As a quick and effective resource that can give large amount language
	information, corpus-based learning is becoming more and more popular. In this
	paper we enrich a Spanish-Chinese parallel corpus automatically with part
	of-speech (POS) information and manually with discourse segmentation (following
	the Rhetorical Structure Theory (RST) (Mann and Thompson, 1988)). Two search
	tools allow the Spanish-Chinese language learners to carry out different
	queries based on tokens and lemmas. The parallel corpus and the research tools
	are available to the academic community. We propose some examples to illustrate
	how learners can use the corpus to learn Spanish and Chinese.},
  url       = {http://aclweb.org/anthology/W16-4913}
}