7thWorkshop
on Indian Language Data: Resources and Evaluation (WILDRE)

Venue:
Lingotto Conference Centre
- Torino, Italy
(Organized under
LREC-COLING
2024 (20-25 May 2024))

Website:
http://sanskrit.jnu.ac.in/conf/wildre7

WILDRE-7, the 7th
Workshop on Indian Language Data: Resources and Evaluation is proposed to be organised in Lingotto Conference Centre - Torino, Italy under the LREC-COLING platform. India has a huge linguistic diversity and has seen concerted efforts from the Indian government
and industry to develop language resources. European Language Resource Association (ELRA) and its associate organizations have been very active and successful in addressing the challenges and opportunities related to language resource creation and evaluation.
It is therefore a big opportunity for resource creators of Indian languages to showcase their work on this platform and also to interact and learn from those involved in similar initiatives all over the world. The broader objectives of the WILDRE will be



To map the status of Indian
Language Resources



To investigate challenges related
to creating and sharing various levels of language resources



To promote a dialogue between
language resource developers and users



To provide an opportunity for
researchers from India to collaborate with researchers from other parts of the world

Dates
for Short/Long papers and Posters and Demos (tentative)

February 28, 2023: Paper submissions
due

March 28, 2024: Paper notification
acceptance

April 10, 2024: Camera-ready
papers due

SUBMISSIONS

Papers
must describe original, completed/ in progress and unpublished work. Each submission will be reviewed by three program committee members.

Accepted papers will be given
up to 10 pages (for full papers) 5 pages (for short papers and posters) in the workshop proceedings, and will
be presented as oral paper or poster.

Papers should be formatted according
to the LREC-COLING style sheet, which is provided on the LREC-COLING 2024 website (https://lrec-coling-2024.org/authors-kit/).
Papers should be submitted in PDF format to the LREC-COLING website (https://softconf.com/lrec-coling2024/wildre-7/)

We are seeking submissions under
the following category



Full papers (10 pages)



Short papers (work in progress:
5 pages)



Posters (innovative ideas/proposals,
research proposal of students)



Demo (of working online/standalone
systems)

WILDRE-7 will have a special
focus on Demos of Indian Language Technology. In the past few years, as more resources have been developed and made available, there has been an increased activity in developing usable technology using these. WILDRE-7 would like to encourage and widen the
Demo track to allow the community to showcase their demos and have mutually beneficial interactions with each other as well as resource developers.

WILDRE-7 is seeking full, short
papers, posters and demos on the following topics related to Indian Language Resources:



Digital Humanities, heritage
computing



Corpora - text, speech, multimodal,
methodologies, annotation and tools



Lexicons and Machine-readable
dictionaries



Ontologies, Grammars



Language resources for NLP/
IR/Speech tasks, tools and Infrastructure for language resources



Standards or specifications
for language resources application



Licensing and copyright issues



Data mining



Text summarization


Both submission and review processes
will be handled electronically. The review process will be double-blind. The workshop website will provide the submission guidelines and the link for the electronic submission.

When submitting a paper from
the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover,
ELRA encourages all LREC-COLING authors to share the described LRs (data, tools, services, etc.), to enable their reuse, and replicability of experiments, including evaluation ones, etc.

For
further information on this initiative, please refer to https://lrec-coling-2024.org/

Shared
Task

Following the success of the
five WILDRE workshops, WILDRE-7 will include Code-mixed Less-Resourced Sentiment Analysis (Code-mixed)
and Discourse Machine Translation (DiscoMT) Shared Tasks. The organizers of shared tasks will provide datasets and evaluation platforms to evaluate systems developed by the participants.
For further information on this initiative, please refer to http://sanskrit.jnu.ac.in/conf/wildre7

Workshop
Organisers



Girish Nath Jha, Jawaharlal
Nehru University, India



Kalika Bali, Microsoft Research
India Lab, Bangalore, India



Sobha L, AU-KBC, Anna University,
Chennai, India



Atul Kr. Ojha, University of
Galway, Ireland & Panlingua Language Processing LLP, India


Workshop contact:

Atul
Kr. Ojha, University
of Galway, Ireland &
Panlingua Language Processing LLP, India, shashwatup9k@gmail.com

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 to allow the community to understand the whole context and also replicate the experiments conducted by other researchers, LREC-COLING 2024 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-COLING papers will be offered at submission time.