@inproceedings{dreuw:10001:sign-lang:lrec,
  author    = {Dreuw, Philippe and Forster, Jens and Gweth, Yannick and Stein, Daniel and Ney, Hermann and Mart{\'i}nez Ruiz, Gregorio and Verges Llahi, Jaume and Crasborn, Onno and Ormel, Ellen and Du, Wei and Hoyoux, Thomas and Piater, Justus and Moya Lazaro, Jos{\'e} Miguel and Wheatley, Mark},
  title     = {{SignSpeak} - Understanding, Recognition, and Translation of Sign Languages},
  pages     = {65--72},
  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/10001.html},
  abstract  = {The SignSpeak project will be the first step to approach sign language recognition and translation at a scientific level already reached in similar research fields such as automatic speech recognition or statistical machine translation of spoken languages. Deaf communities revolve around sign languages as they are their natural means of communication. Although deaf, hard of hearing and hearing signers can communicate without problems amongst themselves, there is a serious challenge for the deaf community in trying to integrate into educational, social and work environments. The overall goal of SignSpeak is to develop a new vision-based technology for recognizing and translating continuous sign language to text. New knowledge about the nature of sign language structure from the perspective of machine recognition of continuous sign language will allow a subsequent breakthrough in the development of a new vision-based technology for continuous sign language recognition and translation. Existing and new publicly available corpora will be used to evaluate the research progress throughout the whole project.}
}

@inproceedings{zahedi:06005:sign-lang:lrec,
  author    = {Zahedi, Morteza and Dreuw, Philippe and Rybach, David and Deselaers, Thomas and Bungeroth, Jan and Ney, Hermann},
  title     = {Continuous Sign Language Recognition -- Approaches from Speech Recognition and Available Data Resources},
  pages     = {21--24},
  editor    = {Vettori, Chiara},
  booktitle = {Proceedings of the {LREC2006} 2nd Workshop on the Representation and Processing of Sign Languages: Lexicographic Matters and Didactic Scenarios},
  maintitle = {5th International Conference on Language Resources and Evaluation ({LREC} 2006)},
  publisher = {{European Language Resources Association (ELRA)}},
  address   = {Genoa, Italy},
  day       = {28},
  month     = may,
  year      = {2006},
  language  = {english},
  url       = {https://www.sign-lang.uni-hamburg.de/lrec/pub/06005.html},
  abstract  = {In this paper we describe our current work on automatic continuous sign language recognition. We present an automatic sign language recognition system that is based on a large vocabulary speech recognition system and adopts many of the approaches that are conven- tionally applied in the recognition of spoken language. Furthermore, we present a set of freely available databases that can be used for training, testing and performance evaluation of sign language recognition systems. First results on one of the databases are given, we show that the approaches from spoken language recognition are suitable, and we give directions for further research.}
}

@inproceedings{bungeroth-etal-2006-german:lrec,
  author    = {Bungeroth, Jan and Stein, Daniel and Dreuw, Philippe and Zahedi, Morteza and Ney, Hermann},
  title     = {A {G}erman {S}ign {L}anguage Corpus of the Domain Weather Report},
  pages     = {2000--2003},
  editor    = {Calzolari, Nicoletta and Choukri, Khalid and Gangemi, Aldo and Maegaard, Bente and Mariani, Joseph and Odijk, Jan and Tapias, Daniel},
  booktitle = {5th International Conference on Language Resources and Evaluation ({LREC} 2006)},
  publisher = {{European Language Resources Association (ELRA)}},
  address   = {Genoa, Italy},
  day       = {22--28},
  month     = may,
  year      = {2006},
  isbn      = {978-2-9517408-2-2},
  language  = {english},
  url       = {https://aclanthology.org/L06-1418},
  abstract  = {All systems for automatic sign language translation and recognition, in particular statistical systems, rely on adequately sized corpora. For this purpose, we created the Phoenix corpus that is based on German television weather reports translated into German Sign Language. It comes with a rich annotation of the video data, a bilingual text-based sentence corpus and a monolingual German corpus. All systems for automatic sign language translation and recognition, in particular statistical systems, rely on adequately sized corpora. For this purpose, we created the Phoenix corpus that is based on German television weather reports translated into German Sign Language. It comes with a rich annotation of the video data, a bilingual text-based sentence corpus and a monolingual German corpus.}
}