Summary of the paper

Title RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus
Authors Jens Forster, Christoph Schmidt, Thomas Hoyoux, Oscar Koller, Uwe Zelle, Justus Piater and Hermann Ney
Abstract This paper introduces the RWTH-PHOENIX-Weather corpus, a video-based, large vocabulary corpus of German Sign Language suitable for statistical sign language recognition and translation. In contrastto most available sign language data collections, the RWTH-PHOENIX-Weather corpus has not been recorded for linguistic research but for the use in statistical pattern recognition. The corpus contains weather forecasts recorded from German public TV which are manually annotated using glosses distinguishing sign variants, and time boundaries have been marked on the sentence and the gloss level. Further, the spoken German weather forecast has been transcribed in a semi-automatic fashion using a state-of-the-art automatic speech recognition system. Moreover, an additional translation of the glosses into spoken German has been created to capture allowable translation variability. In addition to the corpus, experimental baseline results for hand and head tracking, statistical sign language recognition and translation are presented.
Topics Sign Language Recognition/Generation, Corpus (creation, annotation, etc.), Statistical and machine learning methods
Full paper RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus
Bibtex @InProceedings{FORSTER12.844,
  author = {Jens Forster and Christoph Schmidt and Thomas Hoyoux and Oscar Koller and Uwe Zelle and Justus Piater and Hermann Ney},
  title = {RWTH-PHOENIX-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
 }
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