@InProceedings{bloodgood-strauss:2017:Long,
  author    = {Bloodgood, Michael  and  Strauss, Benjamin},
  title     = {Using Global Constraints and Reranking to Improve Cognates Detection},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {1983--1992},
  abstract  = {Global constraints and reranking have not been used in cognates detection
	research to date. We propose methods for using global constraints by performing
	rescoring of the score matrices produced by state of the art cognates detection
	systems. Using global constraints to perform rescoring is complementary to
	state of the art methods for performing cognates detection and results in
	significant performance improvements beyond current state of the art
	performance on publicly available datasets with different language pairs and
	various conditions such as different levels of baseline state of the art
	performance and different data size conditions, including with more realistic
	large data size conditions than have been evaluated with in the past.},
  url       = {http://aclweb.org/anthology/P17-1181}
}