@InProceedings{paetzold-alvamanchego-specia:2017:I17-3,
  author    = {Paetzold, Gustavo  and  Alva-Manchego, Fernando  and  Specia, Lucia},
  title     = {MASSAlign: Alignment and Annotation of Comparable Documents},
  booktitle = {Proceedings of the IJCNLP 2017, System Demonstrations},
  month     = {November},
  year      = {2017},
  address   = {Tapei, Taiwan},
  publisher = {Association for Computational Linguistics},
  pages     = {1--4},
  abstract  = {We introduce MASSAlign: a Python library for the alignment and annotation of
	monolingual comparable documents. MASSAlign offers easy-to-use access to state
	of the art algorithms for paragraph and sentence-level alignment, as well as
	novel algorithms for word-level annotation of transformation operations between
	aligned sentences. In addition, MASSAlign provides a visualization module to
	display and analyze the alignments and annotations performed.},
  url       = {http://www.aclweb.org/anthology/I17-3001}
}