Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia (EURALI) @ LREC 2022
Date: Monday, June 20, 2022
Venue: Palais du Pharo, Marseille (France)
Main website: https://sites.google.com/view/eurali/
LREC website: https://lrec2022.lrec-conf.org/en/
Workshop overview and objectives
This workshop will focus on the development of language technology resources and tools for the indigenous, endangered and lesser-resource languages in the Eurasia continent.
In a media-centric world where language technology allows people to break cultural and language barriers, it is important that speakers of endangered and indigenous languages can be empowered to use these technologies to share their knowledge and culture with the world. With the aim of bridging this gap, the goal of this workshop is to increase visibility and promote research for lesser-resourced and underrepresented language communities in Europe and Asia. Through collaboration between NLP researchers, language experts and linguists working for endangered languages in these communities, we aim to create language technology resources that will help to preserve and revive these languages for future generations. Furthermore, the workshop aims to promote the emergence of new methods that benefit linguists, for instance for automation of analysis and validation processes, field linguists, the facilitation of data collection and analysis processes, and computational linguists by developing new techniques necessary for linguistic analysis, development of supervised or weakly-supervised methods for the analysis of poorly written or undocumented languages.
The main objective of the workshop is to create basic resources and develop tools for Eurasiatic languages, including but not limited to the following topics:
• identifying languages and variants spoken in these regions
• creating language resources and applications, e.g., sentiment analysis, named entity recognition, and syntactic parsing
• standardization for endangered languages
• automatic identification and classification of lexical variation and language varieties
• adaptation of fundamental NLP tools for these languages, e.g., morphological analysis, taggers and parsers
• reusability of language resources in NLP applications, e.g., machine translation, POS tagging.
• machine translation between closely related languages
• evaluation of language resources and tools when applied to lesser-resourced languages in the same language families
• corpora, resources, and tools for close related languages
• linguistic and textual similarities among languages in Eurasia
• digitization of endangered languages
• challenges in the creation of language resources and tools from linguistics perspectives
• Linguistics for poorly spoken or undocumented languages
We are seeking submissions under the following category:
Full papers: 8 pages+unlimited reference
Short papers (work in progress): 4 pages+unlimited reference
Posters (innovative ideas/proposals, a research idea of students) : 4 pages+unlimited reference
Demo (of working online/standalone systems): 2 pages
Papers must describe original, completed or in progress, and unpublished work. Each submission will be reviewed by three program committee members. The accepted papers will be given up for full/short paper and poster in the workshop proceedings and will be presented as an oral presentation or poster.
Papers should be formatted according to the LREC style-sheet, which is provided on the LREC 2022 website ( https://lrec2022.lrec-conf.org/en/submission2022/authors-kit/). Please submit papers in PDF format at the START account ( https://www.softconf.com/lrec2022/EURALI/).
For further information on this initiative, please refer to https://sites.google.com/view/eurali/.
April 08, 2022: Paper submissions due
May 03, 2022: Paper notification of acceptance
May 23, 2022: Camera-ready papers due
June 20, 2022: Workshop
Atul Kr. Ojha, National University of Ireland Galway, Ireland
Sina Ahmadi, National University of Ireland Galway, Ireland
Chao-Hong Liu, Potamu Research Ltd, Ireland
John P. McCrae, National University of Ireland Galway, Ireland
Agata Savary, University of Paris-Saclay, France Alina Karakanta, Fondazione Bruno Kessler (FBK) / University of Trento Akanksha Bansal, Panlingua Language Processing LLP Atul Kr. Ojha, National University of Ireland Galway, Ireland & Panlingua Language Processing LLP Bharathi Raja Chakravarthi, National University of Ireland Galway, Ireland Bogdan Babych, Heidelberg University, Germany Chao-Hong Liu, Potamu Research Ltd Daan van Esch, Google Deepak Alok, Panlingua Language Processing LLP Esha Banerjee, Google, USA Ekaterina Vylomova, University of Melbourne, Australia George Rehm, DFKI GmbH, Germany John Ortega, New York University, USA Jonathan Washington, Swarthmore College, USA John P. McCrae, National University of Ireland Galway, Ireland Joseph Mariani, LIMSI-CNRS, France Khalid Choukri, ELDA/ELRA, France Nicoletta Calzolari, CNR-ILC, Italy Rico Sennrich, University of Zurich, Switzerland Ritesh Kumar, Agra University, India Sina Ahmadi, National University of Ireland Galway, Ireland Sunipa Dev, Google Daniel Zeman, Charles University, Prague
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
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 2022 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. -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 11347 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20220321/9789a34f/attachment.txt>