@inproceedings{hochgesang:18048:sign-lang:lrec,
  author    = {Hochgesang, Julie A. and Crasborn, Onno and Lillo-Martin, Diane},
  title     = {Building the {ASL} {Signbank}: Lemmatization Principles for {ASL}},
  pages     = {69--74},
  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/18048.html},
  abstract  = {Following the example of other sign language researchers, we are creating a Signbank, a usage-based lexical database, to maintain consistent and systematic annotation information for American Sign Language (ASL). This tool, which will be available to the public, is currently being used in conjunction with an on-going effort to prepare corpora of sign language acquisition to share with the research community. This paper will briefly report on the development of the ASL Signbank, focusing on the adopted lemmatization principles. Lemmatization of ASL signs has never been done on a scale like this before - one that has been continually refreshed by actual usage data.}
}

@inproceedings{hochgesang-2014-use:lrec,
  author    = {Hochgesang, Julie A.},
  title     = {The Use of a {FileMaker} {Pro} Database in Evaluating Sign Language Notation Systems},
  pages     = {1917--1923},
  editor    = {Calzolari, Nicoletta and Choukri, Khalid and Declerck, Thierry and Loftsson, Hrafn and Maegaard, Bente and Mariani, Joseph and Moreno, Asuncion and Odijk, Jan and Piperidis, Stelios,},
  booktitle = {9th International Conference on Language Resources and Evaluation ({LREC} 2014)},
  publisher = {{European Language Resources Association (ELRA)}},
  address   = {Reykjavik, Iceland},
  day       = {26--31},
  month     = may,
  year      = {2014},
  isbn      = {978-2-9517408-8-4},
  language  = {english},
  url       = {https://aclanthology.org/L14-1506},
  abstract  = {In this paper, FileMaker Pro has been used to create a database in order to evaluate sign language notation systems used for representing hand configurations. The database cited in this paper focuses on child acquisition data, particularly the dataset of one child and one adult productions of the same American Sign Language (ASL) signs produced in a two-year span. The hand configurations in selected signs have been coded using Stokoe notation (Stokoe, Casterline {\&} Croneberg, 1965), the Hamburg Notation System or HamNoSys (Prillwitz et al, 1989), the revised Prosodic Model Handshape Coding system or PM (Eccarius {\&} Brentari, 2008) and Sign Language Phonetic Annotation or SLPA, a notation system that has grown from the Movement-Hold Model (Johnson {\&} Liddell, 2010, 2011a, 2011b, 2012). Data was pulled from ELAN transcripts, organized and notated in a FileMaker Pro database created to investigate the representativeness of each system. Representativeness refers to the ability of the notation system to represent the hand configurations in the dataset. This paper briefly describes the design of the FileMaker Pro database intended to provide both quantitative and qualitative information in order to allow the sign language researcher to examine the representativeness of sign language notation systems.}
}