@InProceedings{xia-yarowsky:2017:I17-2,
  author    = {Xia, Patrick  and  Yarowsky, David},
  title     = {Deriving Consensus for Multi-Parallel Corpora: an English Bible Study},
  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     = {448--453},
  abstract  = {What can you do with multiple noisy versions of the same text? We present a
	method which generates a single consensus between multi-parallel corpora. By
	maximizing a function of linguistic features between word pairs, we jointly
	learn a single corpus-wide multiway alignment: a consensus between 27 versions
	of the English Bible. We additionally produce English paraphrases, word-level
	distributions of tags, and consensus dependency parses. Our method is language
	independent and applicable to any multi-parallel corpora. Given the Bible’s
	unique role as alignable bitext for over 800 of the world’s languages, this
	consensus alignment and resulting resources offer value for multilingual
	annotation projection, and also shed potential insights into the Bible itself.},
  url       = {http://www.aclweb.org/anthology/I17-2076}
}