@inproceedings{huenerfauth:04006:sign-lang:lrec,
  author    = {Huenerfauth, Matt},
  title     = {Spatial Representation of Classifier Predicates for Machine Translation into {American} {Sign} {Language}},
  pages     = {24--31},
  editor    = {Streiter, Oliver and Vettori, Chiara},
  booktitle = {Proceedings of the {LREC2004} Workshop on the Representation and Processing of Sign Languages: From {SignWriting} to Image Processing. Information techniques and their implications for teaching, documentation and communication},
  maintitle = {4th International Conference on Language Resources and Evaluation ({LREC} 2004)},
  publisher = {{European Language Resources Association (ELRA)}},
  address   = {Lisbon, Portugal},
  day       = {30},
  month     = may,
  year      = {2004},
  language  = {english},
  url       = {https://www.sign-lang.uni-hamburg.de/lrec/pub/04006.html},
  abstract  = {The translation of English text into American Sign Language (ASL) animation tests the limits of traditional machine translation (MT) approaches. The generation of spatially complex ASL phenomena called ``classifier predicates'' motivates a new representation for ASL based on virtual reality modeling software, and previous linguistic research provides constraints on the design of an English-to- Classifier-Predicate translation process operating on this representation. This translation design can be incorporated into a multi- pathway architecture to build English-to-ASL MT systems capable of producing classifier predicates.}
}