@inproceedings{neidle:18001:sign-lang:lrec,
  author    = {Neidle, Carol and Opoku, Augustine and Dimitriadis, Gregory and Metaxas, Dimitris},
  title     = {New shared {\&} interconnected {ASL} resources: {SignStream{\textregistered}} 3 software; {DAI} 2 for web access to linguistically annotated video corpora; and a sign bank},
  pages     = {147--154},
  editor    = {Bono, Mayumi and Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Kristoffersen, Jette and Mesch, Johanna and Osugi, Yutaka},
  booktitle = {Proceedings of the {LREC2018} 8th Workshop on the Representation and Processing of Sign Languages: Involving the Language Community},
  maintitle = {11th International Conference on Language Resources and Evaluation ({LREC} 2018)},
  publisher = {{European Language Resources Association (ELRA)}},
  address   = {Miyazaki, Japan},
  day       = {12},
  month     = may,
  year      = {2018},
  isbn      = {979-10-95546-01-6},
  language  = {english},
  url       = {https://www.sign-lang.uni-hamburg.de/lrec/pub/18001.html},
  abstract  = {2017 marked the release of a new version of SignStream{\textregistered} software, designed to facilitate linguistic analysis of ASL video. SignStream{\textregistered} provides an intuitive interface for labeling and time-aligning manual and non-manual components of the signing. Version 3 has many new features. For example, it enables representation of morpho-phonological information, including display of handshapes. An expanding ASL video corpus, annotated through use of SignStream{\textregistered}, is shared publicly on the Web. This corpus (video plus annotations) is Web-accessible---browsable, searchable, and downloadable---thanks to a new, improved version of our Data Access Interface: DAI 2. DAI 2 also offers Web access to a brand new Sign Bank, containing about 10,000 examples of about 3,000 distinct signs, as produced by up to 9 different ASL signers. This Sign Bank is also directly accessible from within SignStream{\textregistered}, thereby boosting the efficiency and consistency of annotation; new items can also be added to the Sign Bank. Soon to be integrated into SignStream{\textregistered} 3 and DAI 2 are visualizations of computer-generated analyses of the video: graphical display of eyebrow height, eye aperture, and head position. These resources are publicly available, for linguistic and computational research and for those who use or study ASL.}
}