@InProceedings{alva-oncevay:2017:SCLeM,
  author    = {Alva, Carlo  and  Oncevay, Arturo},
  title     = {Spell-Checking based on Syllabification and Character-level Graphs for a Peruvian Agglutinative Language},
  booktitle = {Proceedings of the First Workshop on Subword and Character Level Models in NLP},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {109--116},
  abstract  = {There are several native languages in Peru which are mostly agglutinative.
	These languages are transmitted from generation to generation mainly in oral
	form, causing different forms of writing across different communities. For this
	reason, there are recent efforts to standardize the spelling in the written
	texts, and it would be beneficial to support these tasks with an automatic tool
	such as an spell-checker. In this way, this spelling corrector is being
	developed based on two steps: an automatic rule-based syllabification method
	and a character-level graph to detect the degree of error in a misspelled word.
	The experiments were realized on Shipibo-konibo, a highly agglutinative and
	amazonian language, and the results obtained have been promising in a dataset
	built for the purpose.},
  url       = {http://www.aclweb.org/anthology/W17-4116}
}