CfP: 9th Workshop on the Representation and Processing of Sign Languages (LREC2020), Marseille, France, 16 May 2020

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LREC2020 cfp online at https://www.sign-lang.uni-hamburg.de/lrec2020/

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 (URL tbc) 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!

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Written by Johanna