Dear all,
This is the last CfP for VarDial 2026 - The Thirteenth Workshop on NLP for Similar Languages, Varieties and Dialects. We have extended the submission deadlines (January 2 for direct submissions, January 10 for committing pre-reviewed submissions), see details below. Apologies for cross-posting!
--
VarDial 2026: https://sites.google.com/view/vardial-2026/
VarDial 2026 will be colocated with EACL 2026 in Rabat, Morocco. We anticipate a discussion on computational methods and language resources for closely related languages, language varieties, and dialects.
We welcome papers dealing with one or more of the following topics:
- Language resources and tools for similar languages, varieties and dialects;
- Evaluation of language resources and tools applied to non-dominant language varieties;
- Cross-lingual transfer and adaptation of models to similar languages, varieties and dialects;
- Automatic identification of lexical variation;
- Automatic classification of language varieties;
- Machine translation between closely-related languages, language varieties and dialects;
- Corpus-driven studies in dialectology and language variation;
- Computational approaches to mutual intelligibility between dialects and similar languages;
- Text similarity and adaptation between language varieties;
- Linguistic issues in the adaptation of language resources and tools (e.g., cognate detection, semantic discrepancies, lexical gaps, false friends);
- Studies focusing on related creole languages and their lexifier languages;
- Studies focusing on diachronic language variation (e.g. phylogenetic methods, historical dialects).
In addition to the topics listed above, we also welcome papers dealing with diachronic language variation (e.g. phylogenetic methods, historical dialects).
Instructions for Authors
Submissions should be formatted according to the ACL Rolling Review template and submitted as a PDF. The review process will be double-blind. More information is on the website (https://sites.google.com/view/vardial-2026/).
Important Dates
- Direct Submission deadline: January 2, 2025 (updated!)
- Pre-reviewed (ARR) submission deadline: January 10, 2026 (updated!)
- Notification of acceptance: January 23, 2026
- Camera-ready paper due: February 3, 2026
- Workshop at EACL (hybrid): March 24-29, 2026 (exact date TBD)
Shared Task: Arabic Modeling In Your Accent (AMIYA)
VarDial 2026 will have a shared task on language modelling for dialectal Arabic (DA), where participants can contribute LLMs trained or adapted for DA. These will be evaluated using the AL-QASIDA benchmark (Robinson et al., 2025), an evaluation suite that comprehensively measures an LLM’s dialectal fidelity, understanding, generation quality, and MSA-DA diglossia in DA. More information: https://sites.google.com/view/vardial-2026/shared-tasks
- Training data release: November 30, 2025
- Registration deadline, eval data finalized: December 15, 2025
- System submission deadline: January 10, 2025
- System description paper deadline: January 20, 2025
Workshop Organizers
Yves Scherrer – University of Oslo (Norway)
Noëmi Aepli – University of Pennsylvania (USA)
Verena Blaschke – LMU Munich and Munich Center for Machine Learning (Germany)
Tommi Jauhiainen – University of Helsinki (Finland)
Nikola Ljubešić – Jožef Stefan Institute and University of Ljubljana (Slovenia)
Preslav Nakov – Mohamed bin Zayed University of Artificial Intelligence (UAE)
Jörg Tiedemann – University of Helsinki (Finland)
Marcos Zampieri – George Mason University (USA)
Contact: yves.scherrer(a)ifi.uio.no or verena.blaschke(a)cis.lmu.de
In this newsletter:
LDC 2026 membership discounts now available
LDC's 1000th corpus
Approaching deadline for Spring 2026 data scholarship applications
LDC closed for Winter Break December 25 - January 2
New publications:
2021 NIST Speaker Recognition Evaluation Development and Test Set<https://catalog.ldc.upenn.edu/LDC2025S11>
LORELEI Sinhala Incident Language Pack<https://catalog.ldc.upenn.edu/LDC2025T17>
________________________________
LDC 2026 membership discounts now available
Now through March 2, 2026, any organization that joins the Consortium or renews their membership will receive a 10% discount off the 2026 membership fee. Membership remains the most economical way to access current and past LDC releases. Consult Join LDC<https://www.ldc.upenn.edu/members/join-ldc> for details on membership options and benefits.
LDC's 1,000th corpus
LDC is delighted to announce the release of the 1,000th corpus into the Catalog! This milestone represents the commitment we made over thirty years ago to provide large quantities of diverse data, robust research program support, and exceptional member services. We are grateful for the continued support and collaboration of our members, friends, and the community.
Approaching deadline for Spring 2026 data scholarship applications
Attention students: don't miss out on the chance to receive no-cost access to LDC data for your research. Applications for Spring 2026 data scholarships are due January 15, 2026. For more information on requirements and program rules, see LDC Data Scholarships<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>.
LDC closed for Winter Break December 25-January 2
LDC will be closed from Thursday, December 25, 2025, through Friday, January 2, 2026, in accordance with the University of Pennsylvania Winter Break Policy. Our offices will reopen on Monday, January 5, 2026. Requests received by the Membership Office during Winter Break will be processed when the office reopens.
________________________________
New publications:
2021 NIST Speaker Recognition Evaluation Test Set<https://catalog.ldc.upenn.edu/LDC2025S11> was developed by LDC and NIST (National Institute of Standards and Technology). It contains approximately 447 hours of Cantonese, Mandarin, and English conversational telephone speech, audio from video, and selfie image data for development and test, along with answer keys, enrollment, trial files, and documentation from the NIST-sponsored 2021 Speaker Recognition Evaluation (SRE)<https://www.nist.gov/itl/iad/mig/nist-2021-speaker-recognition-evaluation-s…>.
The SRE task is speaker detection, that is, to determine whether a specified target speaker was speaking during a segment of speech. SRE21 focused on telephone speech and audio from video and included close-up images of participants. The evaluation also featured cross-lingual trials, that is, enrollment and test segments spoken in different languages.
The data was drawn from the WeCanTalk corpus collected by LDC in which speakers called friends or relatives who agreed to record their telephone conversations lasting between 8-10 minutes. Subjects contributed multiple conversational telephone speech recordings and audio recordings in which they were talking, plus a single selfie image. Recordings were manually audited to verify speaker, language, and quality.
2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.
*
LORELEI Sinhala Incident Language Pack<https://catalog.ldc.upenn.edu/LDC2025T17> was developed by LDC and is comprised of 8.1 million words of Sinhala monolingual text, 700,00 words of English monolingual text, 6.4 million words of parallel Sinhala- English text, and 50,000 words annotated for entity discovery and linking and situation frames. It constitutes all of the text data, annotations, supplemental resources, and related software tools for the Sinhala language used in the DARPA LORELEI / LoReHLT 2018 Evaluation<https://www.nist.gov/itl/iad/mig/lorehlt-evaluations>.
The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. In the evaluation scenario, an unforeseen event triggered a need for humanitarian and logistical support in a region where the incident language had received little or no attention in NLP research. Evaluation participants provided NLP solutions, including information extraction and machine translation, with limited resources and limited development time.
Data was collected from news, social network, weblog, newsgroup, discussion forum, and reference material. Entity discovery and linking annotation identified entities to be detected by systems for scoring purposes. Situation frame analysis was designed to extract basic information about needs and relevant issues for planning a disaster response effort.
2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.
To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance.
Membership Coordinator
Linguistic Data Consortium<ldc.upenn.edu>
University of Pennsylvania
T: +1-215-573-1275
E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu>
M: 3600 Market St. Suite 810
Philadelphia, PA 19104
*** Last Mile for Posters and Demos Submissions ***
The Annual ACM Conference on Intelligent User Interfaces (IUI 2026)
March 23-26, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus
https://iui.hosting.acm.org/2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>
The ACM Conference on Intelligent User Interfaces (ACM IUI) is the leading annual venue
for researchers and practitioners to explore advancements at the intersection of Artificial
Intelligence (AI) and Human-Computer Interaction (HCI). IUI submissions should address
HCI challenges using machine intelligence and consider both computational and human-
centric aspects. As AI becomes more integrated into everyday technology, understanding
its role in meeting human needs is vital for developing effective and responsible systems.
This conference fosters collaboration among experts from diverse fields to tackle
significant issues in AI and HCI through discussions, workshops, and networking
sessions.
UI 2026 attracted a record number of submissions for the main conference (561 full
paper submissions after an initial submission of 697 abstracts).
Posters
Posters provide an opportunity for sharing valuable last-minute ideas, eliciting useful
feedback on early-stage work and fostering discussions and collaborations among
colleagues. We invite submissions relevant to all conference topics. All submissions
should convey a scientific result or work in progress that is not yet ready to be published
as a full-length research paper at a refereed conference.
The page limit for poster papers is 4 pages (references do not count toward the page
limit). Submitting a draft poster along with your submission is not required, but is
recommended. Accepted poster papers will appear in the companion proceedings of the
conference. Each accepted contribution is expected to be presented in person during the
poster session.
Demos
The demonstration track complements the overall program of the conference.
Demonstrations show implementations of novel, interesting, and important intelligent
user interface concepts or systems. We invite submissions relevant to intelligent user
interfaces and which address, but are not limited to, the topics of the conference. All
submissions are intended to convey a scientific result or work in progress and should
not be advertisements for commercial software packages.
The page limit for demo papers is 4 pages (references do not count toward the page
limit). Authors further need to submit a video (max. 5 mins) along with their demo paper
to showcase their work. Accepted demo papers will be presented as interactive
demonstrations at IUI and published in the companion proceedings of the conference.
Each accepted contribution is expected to be presented in person during the demo sessions.
Important Dates (AoE)
• Submission: December 21, 2025
• Decision notification: January 26, 2026
• Camera-ready submission: February 6, 2026
Topics
The topics for the Posters and Demos are the same as for the main track.
Submission Instructions
Papers must be up to 4 pages (references do not count towards the page limit). Demo
and poster submissions do not need to be anonymized. Submissions should follow the
ACM Master Article Templates in a single-column format.
We adopt the ACM TAPS Workflow.
Please prepare your submission for review in a single column format, using the latest
templates: Word Submission Template, or the LaTeX template using
\documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template.
Authors are required to include a proper classification for the paper according to the
ACM Classification System (CCS). Additional information on how to use it is available at:
https://dl.acm.org/ccs<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> .
A video (up to 5 mins) is required for demo submissions. The video should showcase the
system that will be demonstrated during the conference. Please follow the SIGCHI
Technical Requirements and Guidelines for Videos
(https://sigchi.org/resources/guides-for-authors/videos/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>).
Please submit your demos and posters electronically to the Precision Conference
Submission (PCS) Portal (https://new.precisionconference.com/user/login<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>) by the paper
deadlines.
In PCS, first click “Submissions” at the top of the page, from the dropdown menus for
Society, Conference, and Track, please select “SIGCHI”, “IUI 2026”, and “IUI 2026 Posters”
or “IUI 2026 Demos”, respectively, and then press “Go”.
Note: If the corresponding author (the individual who submits the paper, not necessarily
the first author) is affiliated with a participating institution that has an open access
agreement with ACM, the Article Processing Charges (APCs) will be waived for publishing
the paper. Details are under “Publication and Open Access”.
Accessibility
Authors are asked to make their paper submissions accessible (so that reviewers with
vision impairments can access them, for example). The authors of accepted papers will
be required to make their final PDFs accessible. Please use the SIGCHI Guide to an
Accessible Submission for detailed instructions.
If you are submitting a video as supplemental material, please provide captions, as
described in Technical Requirements and Guidelines for Videos.
Please refer to the Accessibility page of the conference site for further details and
guidelines.
Usage of Generative AI
All submissions must comply with the ACM policy on the usage of GenAI: the April 2023
ACM Policy on Authorship and Frequently Asked Questions. Text generated from a
large-scale language model (LLM), such as ChatGPT, must be clearly marked where such
tools are used for purposes beyond editing the author’s own text. Authors should include
a “GenAI Usage Disclosure” section, right before the references, to provide full disclosure
of all use of GenAI tools in all stages of the research (including the code and data) and
the writing. This section, together with the references, will not be counted toward the
word limit.
While we do not anticipate using tools on a large scale to detect LLM-generated text, we
will investigate submissions brought to our attention and desk reject papers where LLM
use is not clearly marked.
Organisation
General Chairs
• Tsvi Kuflik, The University of Haifa, Israel
• Styliani Kleanthous, Open University of Cyprus, Cyprus
Local Organising Chair
• George A. Papadopoulos, University of Cyprus, Cyprus
Posters and Demos Chairs
• Julia Sheidin, Braude College of Engineering, Israel
• Marko Tkalcic, University of Primorska, Slovenia
• Ming Yin, Purdue University, USA
** Call for Participation **
We are pleased to open the registration for the SAIL Spring School 2026,
which will take place from 17–19 March 2026 at Paderborn University,
Germany. Organized by the SAIL Research Network (Sustainable Life-cycle
of Intelligent Socio-Technical Systems), the Spring School offers
interdisciplinary perspectives on resilience and artificial
intelligence, bringing together technical, theoretical, and
socio-technical viewpoints. Over the course of three days, participants
will gain insights into current research on knowledge-driven AI methods,
explainability, and the role of AI in engineering robust and sustainable
systems. A poster session and several social activities will provide
further opportunities for exchange and networking. - Participation is
free of charge, but due to limited capacity, registration is required. -
All details and the registration form can be found here:
https://indico.uni-paderborn.de/e/SAILspringschool
<https://indico.uni-paderborn.de/e/SAILspringschool>- Registration
deadline: 5 January 2026.
We are happy to announce the following speakers and topics at the summer
school:
- Knowledge Representation as Political AI (Prof. Stefan Schlobach,
Vrije Universiteit Amsterdam)
- Data-efficient learning of physics systems by exploiting knowledge
(Prof. Sebastian Peitz, TU Dortmund)
- Symbol emergence in explainable and continual learning (Prof. Natalia
Diaz Rodriguez, University of Granada)
- Chances and Limits of AI in the Engineering of Resilient Software
Systems (Prof. Eric Bodden. Paderborn University)
- Engineering Cognitive Sustainability: How to Implement Social XAI
(Prof. Kary Främling, Umeå University)
- TBD (Prof. Sina Zarrieß, Bielefeld University)
- TBD (Prof. Eyke Hüllermeier, LMU München)
- TBD (Prof. Marco Platzner, Paderborn University)
Further information about the SAIL Research Network can be found at:
https://www.sail.nrw/ <https://www.sail.nrw/>
The Faculty of Mathematics and Natural Sciences at Heinrich Heine
University Düsseldorf is inviting applications for the position of a
*****Professorship for Machine Learning*****
(open rank: W2 or W1 with tenure track to W2)
at the department of Computer Science to be filled as soon as possible.
We are seeking an individual with outstanding expertise in the field of
Machine Learning, particularly in modern machine learning techniques
(e.g. Large Language Models and Deep Learning architectures for
Explainable AI, Agentic AI, Neuro-symbolic AI and Reinforcement
Learning) with connections to Natural Language Processing, who will
represent this expertise in both research and teaching.
The candidate should have proven expertise in the development of machine
learning methods, and it is expected that he/she will contribute to
collaborative projects. Active participation in the Heine Center for
Artificial Intelligence and Data Science (HeiCAD) is desirable.
Experience or --- for an initial appointment on W1 level --- a
well-founded potential in acquiring competitive third-party funding and
publications at leading conferences such as NeurIPS, ICML, ICLR, AAAI,
EMNLP, ACL, and/or leading scientific journals is expected. Furthermore,
excellent didactic skills are required. Teaching responsibilities
include courses in computer science (Bachelor and Master in Computer
Science, Master in Artificial Intelligence and Data Science), including
regular participation in basic courses. In addition, active involvement
in teaching offerings for other disciplines (e.g., within the framework
of „KI für alle“) and participation in university self-administration
are expected.
For a direct appointment on W2 level a scientific performance equivalent
to Habilitation, in particular high-level publications, success in
acquiring third-party funding, and suitable experience in teaching in
Computer Science or related programs is required.
Heinrich Heine University upholds the principle of “excellence through
diversity.” It has signed the “Diversity Charter” and successfully
participated in the Stifterverband‘s “Shaping Diversity” audit. It is
certified as a family-friendly university and has received the European
Union‘s HR Excellence in Research Award.
Applications from suitably qualified severely disabled persons or
disabled persons regarded as being of equal status according to Book IX
of the German Social Legal Code (SGB – Soziales Gesetzbuch) are
encouraged.
At Heinrich Heine University Düsseldorf, appointments may also be
part-time, provided there are no overriding administrative reasons in
individual cases for requiring full-time employment. Heinrich Heine
University Düsseldorf offers a Dual Career Support and is a member of
the Rhineland Dual Career Network (Dual Career Netzwerk Rheinland).
www.dualcareer-rheinland.de provides further information.
For questions about the professorship, please contact Prof. Dr. P.
Swoboda (paul.swoboda(a)hhu.de).
For further assistance, contact berufungsportalmnf(a)hhu.de.
Please submit your application in digital form with the usual documents
(letter of motivation, curriculum vitae, details of all academic
publications, tabular list and proof of competitively
acquiredthird-party funding (including scholarships), copies of academic
certificates, research concept (max. 2 pages), teaching concept
(max. 2 pages), course catalogue) in the HHU appointment portal at
https://berufungsportal.hhu.de and complete the requested information as
fully as possible.
Deadline for applications: 14.01.2026
Conditions for employment are, in addition to general administrative
conditions in accordance with § 36 of the North Rhine-Westphalia
University Act (Gesetz über die Hochschulen des Landes
Nordrhein-Westfalen), an aptitude for teaching, exceptional competence
in research, and additional scientific achievements. Female candidates
are encouraged to apply; they will be given preference in cases of equal
aptitude, ability, and professional achievements unless there are
exceptional reasons for choosing another applicant.
--
Prof. Dr. Laura Kallmeyer
Institut für Linguistik
Heinrich-Heine Universität Duesseldorf
Universitaetsstr. 1
D-40225 Duesseldorf, Germany
https://user.phil.hhu.de/kallmeyer/
Phone +49 (0)211 8113899
The 15th edition of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2026) will be co-located with the fifteenth biennial Language Resources and Evaluation Conference (LREC 2026), at the Palau de Congressos de Palma in Palma, Mallorca, Spain, on May 16, 2026.
CMCL 2026: 1st Call for Papers<https://sites.google.com/view/cmclworkshop/cfp>
Deadline: Feb. 25; Workshop: May 16 (co-located with LREC)
We invite submissions to the 15th edition of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2026). CMCL invites papers on cognitive modeling, cognitively-inspired natural language processing, and more broadly, the alignment of language models with human cognition. Specific topics include, but are not limited to:
*
Analysis of computational models that process linguistic data to yield insights into human language comprehension, production, or acquisition.
*
Presentation and/or analysis of language resources that can yield insights into human language comprehension, production, or acquisition.
*
Aligning computational models with human subject data to understand what computations underlie language comprehension, production, or acquisition.
*
Modeling conditions and pressures that shape the emergence of human-like communicative systems.
*
Forward-looking positions about what and how the cognitive science, linguistics, and NLP fields can (or should) contribute to one another.
CMCL will only accept direct submissions through the START platform (submission link TBA). We invite three types of submissions, formatted according to the LREC guidelines<https://lrec2026.info/authors-kit/>:
1. Archival, regular workshop submissions that present original, unpublished research that are between 4 to 8 pages in length.
2. Non-archival submissions of extended abstracts that present preliminary results (from 2 to 4 pages + references).
3. Non-archival cross-submissions of long/short papers that present relevant research submitted/published elsewhere.
Only archival papers will be included in the proceedings, but all types of papers will be presented at the workshop.
Important Dates:
* February 25, 2026: Paper submission deadline
* March 23, 2026: Notification of acceptance
* March 30, 2026: Camera-ready paper due
*
May 16, 2026: Workshop date
*
Deadlines are at 11:59 pm AOE.
The CMCL workshop is supported by the National Institute for Japanese Language and Linguistics (NINJAL)<https://www.ninjal.ac.jp/english/>.
For questions, please contact cmclworkshop.organizers(a)gmail.com<mailto:cmclworkshop.organizers@gmail.com>
(apologies for cross-posting)
Dear colleague,
We invite you to participate in the 2026 edition of the CheckThat! Lab
at CLEF 2026. This year, we feature three tasks ---two follow-up and one
new--- that correspond to important components within and around the
full fact-checking pipeline in multiple languages:
Task 1 Source Retrieval for Scientific Web Claims: Given a social media
post that contains a scientific claim and an implicit reference to a
scientific paper (mentions it without a URL), retrieve the mentioned
paper from a pool of candidate papers. Available in English, German, and
French.
Task 2 Fact-Checking Numerical Claims:Given claims, potential evidences,
and possible reasoning paths, rank the reasoning paths and provide an
output of verdict. Available in Arabic, English, and Spanish.
Task 3 Generating Full Fact-Checking Articles:Given a claim, its
veracity, and a set of evidence documents consulted for fact-checking
the claim, generate a full fact-checking article.
Register and participate:https://clef-labs-registration.dipintra.it/
<https://clef-labs-registration.dipintra.it/>
Further information:https://checkthat.gitlab.io/
<https://checkthat.gitlab.io/>
Datasets:https://gitlab.com/checkthat_lab/clef2026-checkthat-lab
<https://gitlab.com/checkthat_lab/clef2026-checkthat-lab>
Discord Server: https://discord.gg/PEMh4a2YHV
<https://discord.gg/PEMh4a2YHV>
Important Dates
---------------------
- November 2025: Lab registration opens
- December 2025: Release of the sample materials
- December - February 2026: Release of training materials
- 23 April 2026: Lab registration closes
- April 2026: Beginning of the evaluation cycle (test sets release)
- 7 May 2026 (23:59 AOE): End of the evaluation cycle (run submission)
- 28 May 2026: Deadline for the submission of working notes [CEUR-WS]
- 30 June 2026: Notification of Acceptance for working notes [CEUR-WS]
- 6 July 2026: Camera Ready Copy of working note papers [CEUR-WS]
- 10 July 2026: Regular Registration Ends
- 31 August 2026: Late Registration Ends
- 21-24 September 2026: CLEF 2026 Conference in Jena, Germany
Best regards,
The CLEF-2026 CheckThat! Lab Shared Task Organizers
--
___________________________
Prof. Dr. Julia Maria Struß
Fachhochschule Potsdam
University of Applied Sciences
Fachbereich Informationswissenschaften/
Department of Information Sciences
Kiepenheuerallee 5
14469 Potsdam
phone: +49 331 580 4532
1st CALL FOR PAPERS
Fourth International Workshop on Gender-Inclusive Translation Technologies (GITT) at EAMT 2026
15 June 2026, Tilburg, The Netherlands
https://sites.google.com/view/gitt2026/
@gitt-workshop.bsky.social
Important Dates (Time zone: Anywhere on Earth)
Submission deadline: 20 April, 2026
Notification of Acceptance: 13 May, 2026
Camera Ready Copy due: 20 May, 2026
Workshop: 15 June, 2026
**Aim and scope**
The Gender-Inclusive Translation Technologies Workshop (GITT) is set out to be the dedicated workshop that focuses on gender-inclusive language in translation and cross-lingual scenarios. The workshop aims to bring together researchers from diverse areas, including industry partners, MT practitioners, and language professionals. GITT aims to encourage multidisciplinary research that develops and interrogates both solutions and challenges for addressing bias and promoting gender inclusivity in MT and translation tools, including LMs applications for the translation task.
**Topics**
GITT invites technical as well as non-technical submissions, which consist of experimental, theoretical or methodological contributions. We explicitly welcome interdisciplinary submissions and submissions that focus on innovative, non-binary linguistic strategies and/or with sociolinguistically-informed perspectives. The topics of interest include, but are not limited to:
- Models or methods for assessing and mitigating gender bias
- New resources for inclusive language and gender translation (e.g., datasets, translation memories, dictionaries)
- Social, cross-lingual, and ethical implications of gender bias
- Qualitative and quantitative analyses on the potential limits of current approaches to gender bias in translation and MT, error taxonomies as well as best practices and guidelines
- User-centric case studies on the impact of biased language and/or mitigating approaches which can include translators, post-editors, or monolingual MT users
GITT is also open to other non-listed topics aligned with the scope of the workshop and works focusing on non-textual modalities (e.g., audiovisual translation)
**Submission**
We welcome four types of submissions, two archival and two non-archival.
ARCHIVAL
- Research papers: of at least 4 up to 10 pages (excluding references)
- Extended Abstracts: up to 2 pages (including references)
Accepted papers and extended abstracts consisting of novel work will be published online as proceedings in the ACL Anthology.
NON-ARCHIVAL
- Research Communications: up to 2 pages (including references).
We include a parallel submission policy in the form of Research Communications for papers related to the topic of GITT that were accepted in other venues in 2025 and 2026.
- Potluck Communications: short abstract up to 500 words (including references).
Potluck Communications offer a space for anyone—especially students and early career researchers—to discuss bold new ideas for collaboration, brainstorm about ongoing work, and explore future research directions.
The communications will not be included in the proceedings, but will serve to promote the dissemination of research aligned with the scope of the workshop.
All submissions should adhere to the EAMT 2026 guidelines and style templates (PDF, LaTeX, Word) and be uploaded on Easychair ( https://easychair.org/conferences?conf=eamt2026)
**Workshop organizers**
Manuel Lardelli, University of Padova
Janiça Hackenbuchner, University of Ghent
Luisa Bentivogli, Fondazione Bruno Kessler
Joke Daems, University of Ghent
Beatrice Savoldi, Fondazione Bruno Kessler
Eleni Gkovedarou, University of Ghent
Dear all
We’re excited to invite you to take part in AdabEval 2026, a shared task on politeness classification in Arabic social media posts, hosted at OSACT7 and co-located with LREC 2026.
The website for the shared task is: https://sites.google.com/view/adabeval2026/home
Description:
Participants will develop systems to perform one of the following two subtasks, which investigate politeness in Arabic social media posts:
Politeness Classification (Subtask A):
This subtask focuses on building and evaluating models that automatically assess the politeness level of Arabic social-media posts. Given a post’s text, participants must classify it into one of three categories: Polite, Neutral, or Impolite. Systems will be compared using accuracy as well as macro-averaged precision, recall, and F1-score on the test data.
Subtask A Summary
- Input: Arabic post
- Output: One of 3 predefined category labels (polite, neutral or impolite)
- Metric: Accuracy, macro-averaged precision, recall, and F1-score
Category Prediction (Subtask B):
In this subtask, the objective is to assess systems’ ability to identify multiple pragmatic functions in Arabic social-media posts. Each text may express one or more categories drawn from nine culturally grounded functions, including criticism, insult, respect, prayer, greeting, and hospitality. The task is formulated as a multi-label classification problem, requiring systems to predict all applicable categories for each instance. The official evaluation metric is the macro-averaged F1 score computed across the nine categories.
Subtask B Summary
- Input: Arabic post
- Output: All applicable categories for each instance.
- Metric:Macro-averaged F1-score
Dataset Information:
The dataset is an annotated corpus of Arabic social‑media posts. Each record contains an identifier, raw text, a primary label (polite, neutral or impolite), and up to three category-keyword pairs. Categories capture pragmatic functions such as Criticism, Insult, Disparagement, Prayers, Greetings, Admiration, Respect, Felicitation and Hospitality & generosity. Keywords highlight words or phrases that motivated the annotation.
EXAMPLE 1:
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Sentence: مبدعون ومميزين بطرحكم وضيوفكم. جزاكم الله خير الجزاء
Source: YouTube
Label: Polite
Criteria 1: Appreciation & Love (الإعجاب والحب) — Keywords: مبدعون، مميزين
Criteria 2: Thanks & Gratitude (الشكر والامتنان) — Keywords: جزاكم الله خير الجزاء
EXAMPLE 2:
---------------
Sentence: من كان بتخيل دكتور معتز ومقالاته قبل ثوره ٢٥ يناير يتحول لحذاء في أيدي العسكر ويصبح مجرد دلدول ويتبع اُسلوب منحط ووضيع كده
Source: Tweet
Label: Impolite
Criteria 1: Insult (شتيمة) — Keywords: منحط، وضيع
How to Participate?
1. Registration is required, please complete the registration form<https://docs.google.com/forms/d/e/1FAIpQLSezmjuMBJBi6KHxk6hdEF5JQwX8w3TwdXq…>.
2. Join the AdabEval2026 at slack<https://adabeval2026.slack.com/?redir=%2Farchives%2FC09TZFH47FZ%3Fname%3DC0…>.
System Description Papers
All participating teams are encouraged to submit a short system description paper. Papers will be included in the workshop proceedings and do not require high leaderboard ranking. We welcome creative approaches, analysis, and lessons learned.
Contact
For questions or clarifications, please contact the organising team at adabeval2026(a)gmail.com.
We look forward to your participation and contributions!
Best regards,
The AdabEval 2026 Organizing Team
________________________________
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*-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------*
*Call for Participation for *DravidianLangTech-2026 Workshop and
Sharedtaks @ ACL-2026
*-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------*
*CFP for the
Sixth Workshop on Speech and Language Technologies for Dravidian Languages- *
*DravidianLangTech-2026 (**Theme: Multilingual Multicultural Multimodal
LLMs)*
*---------------------------------------------------------------------------------------------------------------------------------------------------------*
*DravidianLangTech-2026 @ The 64th Annual Meeting of the Association for
Computational Linguistics (ACL) 2026*
*Venue: San Diego, California, United States*
*Conference Date: July 02 - 07, 2026*
*Workshop Website: https://sites.google.com/view/dravidianlangtech-2026
<https://sites.google.com/view/dravidianlangtech-2026>*
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
With the rapid advancement of artificial intelligence and language
technologies, internet usage has continued to surge globally, enabling many
widely spoken languages to adapt successfully to the digital age. However,
regional and underresourced languages still face significant challenges due
to limited computational resources, annotated datasets, and specialized
tools. One such group is the Dravidian language family, primarily spoken in
South India and Sri Lanka, with communities across Nepal, Pakistan,
Malaysia, London, and other parts of the world. The Dravidian languages,
with a history spanning more than 4,500 years and spoken by millions of
speakers, are under-resourced in speech and natural language processing.
Despite growing research interest, gaps persist in areas such as speech
recognition, multimodal processing, and generative AI applications for
Dravidian languages. This is the sixth workshop on speech and language
technologies for Dravidian languages, building upon the success of the
previous editions. DravidianLangTech-2026 continues to serve as a
collaborative forum for researchers, practitioners, and students to share
insights and advance computational methods for Dravidian languages. The
main objectives of DravidianLangTech-2026 are as follows,
The broader objectives of DravidianLangTech-2026 will be
- To explore challenges and innovations in developing speech and
language resources for Dravidian languages.
- To design and adapt language technologies for multilingual,
multimodal, and code-mixed Dravidian contexts.
- To facilitate collaboration between the global Dravidian language
community and international scholars across computational linguistics, AI,
and digital humanities.
- To address ethical, cultural, and inclusivity aspects in the creation
of language technologies for under-represented communities.
- To encourage the integration of Agentic AI frameworks for building
interactive, explainable, and collaborative language systems in Dravidian
contexts.
*Call for Papers :*
DravidianLangTech-2026 welcomes theoretical, empirical, and application
driven contributions on any Dravidian languages (e.g., Tamil, Kannada,
Malayalam, Telugu, Tulu, Allar, Aranadan, Attapadya, Kurumba, etc.) that
advance language processing, speech technologies, multimodality, or
resource development. Submissions can address challenges in monolingual,
bilingual, and code-mixed settings as well as crosslingual and low-resource
transfer approaches.
Topics of interest include but are not limited to
- Corpus(Data) development, annotation tools, benchmarks, and evaluation
methodologies
- Detecting Hate Speech, Offensive Language, Misinformation, Fake News,
Spam, and Rumor
- Generative AI and Prompt Engineering for Dravidian languages
- Agentic AI and Multi-agent Systems: workflow orchestration, reasoning
agents, and collaborative agents for Dravidian language processing
- Multimodal processing: Text, Speech, Image, Video, and Memes in
Dravidian contexts
- Speech Technology: Automatic Speech Recognition, Speech Synthesis,
Voice Conversion
- Impaired/Normal Speech Recognition and Assistive Technologies for
Dravidian speech
- Accent Recognition, Verification, and Dialect Modeling
- Emotion and Sentiment Recognition from Dravidian Speech and Text
- Machine Translation and Cross-lingual Transfer in Dravidian languages
- Language Resources for Generative and Instruction-Tuned LLMs
- Document Analysis and Understanding for Dravidian texts and scripts
- Object Detection and Recognition in multimodal Dravidian datasets
- Ethical and Fair AI for Low-resource Language Communities
- Healthcare and Mental Health Applications (e.g., depression detection,
doctor-patient communication) in Dravidian speech
- Educational Applications: Digital literacy, inclusive tools for rural
Dravidian language communities
*---------------------------------------------------------------------------------------------------------------------------------------------------------*
*Workshop Paper Submission Link
<https://openreview.net/group?id=aclweb.org/ACL/2026/Workshop/DravidianLangT…>*
*---------------------------------------------------------------------------------------------------------------------------------------------------------*
*Important Dates*
*---------------------------------------------------------------------------------------------------------------------------------------------------------*
*First call for workshop papers: December 10, 2025Second call for workshop
papers: January 15, 2026Third call for workshop papers: February 20,
2026Direct paper submission deadline: March 5, 2026Pre-reviewed ARR
commitment deadline: March 24, 2026Notification of acceptance: April 28,
2026Camera-ready paper due: May 12, 2026Pre-recorded video due (hard
deadline): June 4, 2026*
*Workshop dates: July 2-3, 2026*
with regards,
Dr. Bharathi Raja Chakravarthi,
Assistant Professor / Lecturer-above-the-bar
Programme Director (MSc Computer Science - Artificial Intelligence)
<https://www.universityofgalway.ie/courses/taught-postgraduate-courses/compu…>
School of Computer Science, University of Galway, Ireland
Insight SFI Research Centre for Data Analytics, Data Science Institute,
University of Galway, Ireland
E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie
<bharathiraja.asokachakravarthi(a)universityofgalway.ie>
Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en
Website:
https://research.universityofgalway.ie/en/persons/bharathi-raja-asoka-chakr…