Event: 10th Workshop on the Representation and Processing of Sign Languages (sign-lang@LREC 2022)
Deadline: 10 April 2020
Website: https://www.sign-lang.uni-hamburg.de/lrec2022/
Submission page: https://www.softconf.com/lrec2022/SignLanguages/


CALL FOR PAPERS

Submissions are invited for a full day workshop on sign language resources, to take place following the 2022 LREC conference on June 25, 2022.

Recent technological developments allow sign language researchers to create relatively large video corpora of sign language use that were unimaginable thirty years ago. Several national projects are currently underway, and more are planned. This workshop aims to share experiences from current and past efforts. What are the problems that were encountered and the solutions created, what are the linguistic decisions taken?

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:


2022 HOT TOPICS

• Multilingualism
• Connecting sign language corpora and lexical resources across languages
• Building multi-sign-language resources from the ground up
• Capturing neologisms in and across sign languages: The Covid-19 pandemic has brought many new concepts into the lexis of all languages, including sign languages. To what extent are these neologisms shared across sign languages, and how can language resources document the genesis of these new signs?
• Sign Language Resources for All
• How do we make our data interesting for people outside research (or at least outside our own discipline)?


GENERAL ISSUES ON SIGN LANGUAGE CORPORA AND TOOLS

• 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
• 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
• FAIR, CARE and OpenScience for sign language data

If you intend to submit a paper related to avatar technology, machine translation and related, please note that at LREC 2022 there will be another workshop on sign language research, focussing on exactly these topics: SLTAT7 (http://sltat.cs.depaul.edu/sltat_2022.htm), taking place on the afternoon before this workshop.

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 (https://www.softconf.com/lrec2022/SignLanguages/) not later than April 10, 2022, 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!


IMPORTANT DATES

• Deadline for submissions: April 10, 2022 (23:59 CET)
• Notification of acceptance: April 30, 2022
• Early bird registration ends: early May, 2022
• Camera ready version of the paper (for both oral/signed presentations and posters): May 20, 2022
• Submission of slides for interpreters' preparation (oral/signed presentations only): June 11, 2022
• This workshop: June 25, 2022
• SLTAT workshop: June 24, 2022 (PM)
• LREC main conference: June 21-23, 2022
• LREC workshops June 20 & 24 & 25, 2022

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