Add RWTH-PHOENIX-WEATHER (continuous SLR, not SLT) to list of datasets

[cleong110]

(the 2015 continuous SLR set, koller2015ContinuousSLR, not the translation set!)

[cleong110]

Instead of PCA-reduced hand patches as in Section 5.3, we employ HOG-3D Features [45], which explicitly capture the edges of the hands spatially and also temporally and are therefore much more robust against illumination differences.

[cleong110]

unconstrained ‘real-life’ SL (RWTH-PHOENIX-Weather database 9 signer, 1081 sign vocabulary, 7k sentences

[cleong110]

Hmmmm actually I think the correct citation might be

@inproceedings{forster-etal-2012-rwth,
    title = "{RWTH}-{PHOENIX}-Weather: A Large Vocabulary Sign Language Recognition and Translation Corpus",
    author = "Forster, Jens  and
      Schmidt, Christoph  and
      Hoyoux, Thomas  and
      Koller, Oscar  and
      Zelle, Uwe  and
      Piater, Justus  and
      Ney, Hermann",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Do{\u{g}}an, Mehmet U{\u{g}}ur  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
    month = may,
    year = "2012",
    address = "Istanbul, Turkey",
    publisher = "European Language Resources Association (ELRA)",
    url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/844_Paper.pdf",
    pages = "3785--3789",
    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.",
}

[cleong110]

https://aclanthology.org/L12-1503/ says:

[cleong110]

Here's the guide for exactly which citations to use:

https://github.com/sign-language-processing/sign-language-processing.github.io/issues/89#issuecomment-2179397830