@inproceedings{lu:12005:sign-lang:lrec,
  author    = {Lu, Pengfei and Huenerfauth, Matt},
  title     = {{CUNY} {American} {Sign} {Language} Motion-Capture Corpus: First Release},
  pages     = {109--116},
  editor    = {Crasborn, Onno and Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Kristoffersen, Jette and Mesch, Johanna},
  booktitle = {Proceedings of the {LREC2012} 5th Workshop on the Representation and Processing of Sign Languages: Interactions between Corpus and Lexicon},
  maintitle = {8th International Conference on Language Resources and Evaluation ({LREC} 2012)},
  publisher = {{European Language Resources Association (ELRA)}},
  address   = {Istanbul, Turkey},
  day       = {27},
  month     = may,
  year      = {2012},
  language  = {english},
  url       = {https://www.sign-lang.uni-hamburg.de/lrec/pub/12005.html},
  abstract  = {We are in the middle of a 5-year study to collect, annotate, and analyze an ASL motion-capture corpus of multi-sentential discourse. Now we are ready to release to the research community the first sub-portion of our corpus that has been checked for quality. This paper describes the recording and annotation procedure of our released corpus to enable researchers to determine if it would benefit their work. A focus of the collection process was the identification and use of prompting strategies for eliciting single-signer multi-sentential ASL discourse that maximizes the use of pronominal spatial reference yet minimizes the use of classifier predicates.  The annotation of the corpus includes details about the establishment and use of pronominal spatial reference points in space. Using this data, we are seeking computational models of the referential use of signing space and of spatially inflected verb forms for use in American Sign Language (ASL) animations, which have accessibility applications for deaf users.}
}

@inproceedings{huenerfauth:10030:sign-lang:lrec,
  author    = {Huenerfauth, Matt and Lu, Pengfei},
  title     = {Eliciting Spatial Reference for a Motion-Capture Corpus of {American} {Sign} {Language} Discourse},
  pages     = {121--124},
  editor    = {Dreuw, Philippe and Efthimiou, Eleni and Hanke, Thomas and Johnston, Trevor and Mart{\'i}nez Ruiz, Gregorio and Schembri, Adam},
  booktitle = {Proceedings of the {LREC2010} 4th Workshop on the Representation and Processing of Sign Languages: Corpora and Sign Language Technologies},
  maintitle = {7th International Conference on Language Resources and Evaluation ({LREC} 2010)},
  publisher = {{European Language Resources Association (ELRA)}},
  address   = {Valletta, Malta},
  day       = {22--23},
  month     = may,
  year      = {2010},
  language  = {english},
  url       = {https://www.sign-lang.uni-hamburg.de/lrec/pub/10030.html},
  abstract  = {The goal of our research is to identify computational models of the referential use of signing space and of spatially inflected verb forms for use in American Sign Language (ASL) animations for accessibility applications for deaf users.  This paper describes our collection and annotation of an ASL motion-capture corpus to be analyzed for our research.  A study was conducted to compare alternative prompting strategies for eliciting single-signer multi-sentential ASL discourse that maximizes the use of pronominal spatial reference yet minimizes the use of classifier predicates, spatially complex ASL phenomena that are not the focus of our current research.}
}