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9th Workshop on the Representation and Processing of Sign Languages:

Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives

CALL FOR PAPERS

Submissions are invited for a full day workshop on sign language resources, to take place following the 2020 LREC conference.

During the past years, a number of large-scale sign language corpus projects have started. Some have already been completed, but many more projects are about to start. At the same time, sign language technologies are maturing and are promising to support the time-consuming basic annotation. The workshop aims at bringing together those researchers who already work with multimodal sign language corpora (and those who see the need for empirical underpinnings of their current research) with those who develop sign language technologies. It provides the platform to compare competing approaches.

As sign language resources technologies to a large extent build on methodologies and tools used in the LR community in general, but adds very specific perspectives (e.g. no writing system established, use of video as data source) and works with a different modality of human language, sign language research is able to feed back to the LR community at large. At the same time, as the raw data are in the visual domain, the field naturally bridges into Computer Vision. Thus, researchers use Machine Learning methods on both visual and linguistic data.

We invite submissions of papers to be presented either on stage (20 minutes plus 10 minutes discussion) or as posters (with or without demonstrations) on the following topics:

2020 Hot Topics

  • “In the Service of the Language Community”
    • What is the value of sign language resources for the sign language community?
  • “Language and the Brain”
    • Experimental methods using or producing sign language resources
    • New (multimodal) types of datasets and resources
    • Methods aiming at new multimodal experimentations
    • Sign language processing applications
  • “Machine / Deep Learning”
    • Machine Learning methods both in the visual domain and on linguistic annotation of sign language data
    • How to get along with the size of sign language resources actually existing
    • Human-computer interfaces to sign language data and sign language annotation profiting from Machine Learning

General Issues on Sign Language Corpora and Tools

  • Avatar technology as a tool in sign language corpora and corpus data feeding into advances in avatar technology
  • Experiences in building sign language corpora
  • Elicitation methodology appropriate for corpus collection
  • Proposals for standards for linguistic annotation or for metadata descriptions
  • Experiences from linguistic research using corpora
  • Use of (parallel) corpora and lexicons in translation studies and machine translation
  • Language documentation and long-term accessibility for sign language data
  • Annotation and Visualization Tools
  • Linking corpora and lexicons and integrated presentation of corpus and dictionary contents
  • “Internet as a Corpus” for sign languages
  • Sign language corpus mining
  • Crowd and community sourcing for corpus work
  • Connecting sign language resources to language resources for spoken languages

In the tradition of LREC, oral/signed presentations and poster presentations (with or without demonstrations) have equal status, and authors are encouraged to suggest the presentation format best suited to communicate their ideas. Papers (4, 6 or 8 pages) of all accepted submissions to this workshop will be published as workshop proceedings published on the conference website – independent of whether you have a poster or an oral/signed presentation.

Please submit your paper through the LREC START system not later than Feb 14, 2020, indicating whether you prefer an oral/signed, a poster presentation or a poster presentation with demo.

ATTENTION Please note that you are expected to submit the full paper, not an extended abstract as in previous years!

Identify, Describe and Share your LRs!

Describing your LRs in the LRE Map is now a normal practice in the submission procedure of LREC (introduced in 2010 and adopted by other conferences). To continue the efforts initiated at LREC 2014 about “Sharing LRs” (data, tools, web-services, etc.), authors will have the possibility, when submitting a paper, to upload LRs in a special LREC repository. This effort of sharing LRs, linked to the LRE Map for their description, may become a new “regular” feature for conferences in our field, thus contributing to creating a common repository where everyone can deposit and share data.

As scientific work requires accurate citations of referenced work so as to allow the community to understand the whole context and also replicate the experiments conducted by other researchers, LREC 2020 endorses the need to uniquely Identify LRs through the use of the International Standard Language Resource Number (ISLRN, www.islrn.org), a Persistent Unique Identifier to be assigned to each Language Resource. The assignment of ISLRNs to LRs cited in LREC papers will be offered at submission time.