33.918, Calls: Applied Ling, Comp Ling, Lang Doc, Text/Corpus Ling/France

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LINGUIST List: Vol-33-918. Thu Mar 10 2022. ISSN: 1069 - 4875.

Subject: 33.918, Calls: Applied Ling, Comp Ling, Lang Doc, Text/Corpus Ling/France

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Date: Thu, 10 Mar 2022 04:56:30
From: Begoña Altuna [begona.altuna at ehu.eus]
Subject: Towards Digital Language Equality 2022 Workshop

 
Full Title: Towards Digital Language Equality 2022 Workshop 
Short Title: TDLE 2022 

Date: 20-Jun-2022 - 20-Jun-2022
Location: Marseille, France 
Contact Person: Itziar Aldabe
Meeting Email: itziar.aldabe at ehu.eus
Web Site: https://european-language-equality.eu/tdle-2022/ 

Linguistic Field(s): Applied Linguistics; Computational Linguistics; Language Documentation; Text/Corpus Linguistics 

Call Deadline: 11-Apr-2022 

Meeting Description:

Language Technology (LT) is one of the most important AI application areas
with a fast-growing economic impact. Current LT (NLP, Speech, Multimodal,
etc.) supports many advanced applications which would have been unthinkable
only a few years ago. In fact, the LT community in multiple sectors (Machine
Translation, Text Analytics, Speech, Language Resources, etc.) is developing
powerful new deep learning techniques, tools and large multilingual
pre-trained language models that are revolutionizing many language-related
tasks and supporting improved ways of communicating, including across
languages. 

Unfortunately, most of the tools and resources are not equally available for
all languages and domains. Although LT has the potential to overcome the
linguistic divide in the digital sphere, most languages are often neglected in
this regard. A growing concern is that due to unequal access to these
resources, only a small set of large IT companies and elite universities lead
modern LT development (Ahmed and Wahed, 2020). 

To unleash the full potential of LT and ensure that no users of these
technologies are disadvantaged in the digital sphere because of the language
they use, we should facilitate long-term progress towards multilingual,
efficient, accurate, explainable, ethical, fair and unbiased language
understanding and communication. In short, we must ensure transparent Digital
Language Equality (DLE) in all areas of society: from government to business
to citizens.

In this workshop, we would like to address the international, national,
regional and local policies, initiatives, projects, studies and research that
target DLE, such as models and tools that monitor, measure, catalog or
visualize the evolution and dynamics of DLE, technological factors, (e.g.,
available language resources, tools and technologies) and situational context
factors (e.g., societal, economic, educational, industrial) that may affect
DLE. In addition, we will explore recent advances in Natural Language
Understanding (NLU) towards DLE, including cost-efficient resource
acquisition, processing and annotation, both monolingual and cross-lingual
(such as annotation transfer), multilingual and cross-lingual modeling
techniques (transfer learning), zero-resource, zero-shot models, etc.

Organizing Committee

Itziar Aldabe (HiTZ, UPV-EHU)
Begoña Altuna (HiTZ, UPV-EHU)
Aritz Farwell (HiTZ, UPV-EHU)
Federico Gaspari (ADAPT, DCU)
Maria Giagkou (Athena RC/ILSP)
Jan Hajic (Charles University)
Stelios Piperidis (Athena RC/ILSP)
Georg Rehm (DFKI)
German Rigau (HiTZ, UPV-EHU)
Andy Way (ADAPT, DCU)

To contact the organizers, please email Itziar Aldabe (itziar.aldabe at ehu.eus)
and/or Aritz Farwell (aritz.farwell at ehu.eus) using Subject: [Towards DLE
2022].


Call for Papers:

Topics of Interest

We invite submissions with original contributions addressing all topics
related to DLE. Areas of interest include, but are not limited to, the
following:

Use cases and best-practice examples and guidelines for LT deployment for
concrete scenarios or for actual deployment of LT for specific end-users,
feasibility studies, prototype implementations, cost estimates or results of
desk research.

Collaborative efforts towards the identification, collection, documentation,
curation, interoperability, reuse and archiving of LRs/LTs and other relevant
artifacts.

International, national, regional and local policies, initiatives, projects,
studies and research that target DLE or similar/related notions.

Models and tools that monitor, measure, catalog or visualize the evolution and
dynamics of DLE.

Studies on technological factors, (e.g., available language resources, tools
and technologies) and situational context factors (e.g., societal, economic,
educational, industrial) that may affect DLE.

Analysis of the benefits of DLE policies.

Impact of DLE on society.

Main breakthroughs needed in LT for achieving DLE in a certain multilingual
region or society.

Main LT visions and development goals for DLE.

Recent advances in LT and NLU that help progress towards DLE, including
cost-efficient resource acquisition, processing and annotation, both
monolingual and cross-lingual (such as annotation transfer), multilingual and
cross-lingual modeling techniques (including but not limited to transfer
learning), zero-resource, zero-shot models, etc.

Submission & Publication

We accept research papers addressing Digital Language Equality. Authors must
declare if part of the paper contains material previously published elsewhere.

Papers are allowed a maximum of 8 pages, references excluded. 

Accepted papers will be published in online proceedings.

Papers must strictly comply with the LREC stylesheet, be written in English
and be submitted in PDF unprotected format.

Submission page: https://www.softconf.com/lrec2022/Equality/ 

Each submission will be reviewed by three programme committee members. In
compliance with the LREC rules, papers must *not* be anonymized.

Important dates:

Paper submission deadline: 11 April 2022
Notification of acceptance: 3 May 2022
Camera-ready paper: 23 May 2022
Workshop date: 20 June 2022

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 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.




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