@InProceedings{kirov-EtAl:2017:EACLshort,
  author    = {Kirov, Christo  and  Sylak-Glassman, John  and  Knowles, Rebecca  and  Cotterell, Ryan  and  Post, Matt},
  title     = {A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {112--117},
  abstract  = {A traditional claim in linguistics is that all human languages are
	  equally expressive---able to convey the same wide range of meanings.
	  Morphologically rich languages, such as Czech, rely on overt
	  inflectional and derivational morphology to convey many semantic
	  distinctions.  Languages with comparatively limited morphology, such
	  as English, should be able to accomplish the same using a
	  combination of syntactic and contextual cues.  We capitalize on this
	  idea by training a tagger for English that uses syntactic features
	  obtained by automatic parsing to recover complex morphological tags
	  projected from Czech.  The high accuracy of the resulting model
	  provides quantitative confirmation of the underlying linguistic
	  hypothesis of equal expressivity, and bodes well for future
	  improvements in downstream HLT tasks including machine translation.},
  url       = {http://www.aclweb.org/anthology/E17-2018}
}