***APOLOGIES FOR CROSS-POSTING***
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First Call for Papers
Workshop on Dialects in NLP: A Resource Perspective
(at LREC 2026)
11, 12 and 16 May 2026 — Palma de Mallorca, Spain
Hybrid event — in person and online
Website: https://dialres.github.io/dialres/
Overview
DialRes-LREC26 focuses on the creation, documentation, and use of resources for dialectal NLP. The workshop brings together researchers from linguistics, computational linguistics, digital humanities, and related disciplines to discuss challenges, opportunities, and best practices in developing high-quality resources for dialects.
Topics of Interest
We invite papers on any topic relevant to dialectal resources in NLP, including but not limited to:
* Creation and evaluation of spoken and written dialect resources
* Orthographic normalization and standardization
* Dialect–standard distinctions in annotation for speech or text
* Cross-dialect and cross-lingual transfer; model adaptation
* Scalability and resource-efficient approaches
* LLM-based data creation, augmentation, annotation, or processing
* Resources for dialect preservation, revitalization, and community involvement
* Pedagogical, linguistic, and sociolinguistic applications with a resource focus
* Practical considerations (legal, financial, academic, societal) in dialect resource work
* Empowering dialect communities to develop their own resources
Invited Speaker
Prof. Barbara Plank, LMU Munich (https://bplank.github.io/)
Further details will be posted on the workshop website.
Submission Guidelines
Papers must be submitted electronically via Softconf: [link to come]. Submissions should:
* Be 4–8 pages, excluding references and optional Ethics Statements
* Follow the LREC 2026 style guidelines: https://lrec2026.info/authors-kit/
* Use the official templates: https://lrec2026.info/calls/second-call-for-papers/
Authors will also be asked to provide information about language resources (data, tools, standards, evaluation sets, etc.) used or created in their work. ELRA strongly encourages resource sharing to support reproducibility and reuse.
Accepted papers will appear in the workshop proceedings. The presentation format (oral or poster) will be determined solely by the most effective mode of communication.
Inquiries: dialres-lrec26(a)googlegroups.com
Important Dates
* 20 February 2026 — Submission Deadline
* 11 March 2026 — Notification of Acceptance
* 28 March 2026 — Camera-ready Papers Due
Endorsements
* UniDive COST Action CA21167
* Archimedes/Athena RC
Organizing Committee
* Antonios Anastasopoulos — George Mason University / Archimedes–Athena RC
* Stella Markantonatou — ILSP / Archimedes–Athena RC
* Angela Ralli — University of Patras / Archimedes–Athena RC
* Marcos Zampieri — George Mason University
* Stavros Bompolas — Archimedes–Athena RC
* Vivian Stamou — Archimedes–Athena RC
On behalf of the Organizing Committee,
Stavros Bompolas
Dear all,
This is the third CfP for VarDial 2026 - The Thirteenth Workshop on NLP for Similar Languages, Varieties and Dialects (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: December 19, 2025
- Pre-reviewed (ARR) submission deadline: January 2, 2026
- 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
𝗦𝗲𝗰𝗼𝗻𝗱 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀 - 𝗧𝗵𝗲 𝗦𝗲𝗰𝗼𝗻𝗱 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗼𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 𝗳𝗼𝗿 𝗟𝗼𝘄-𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀
[Workshop website - https://loreslm.github.io/home]
[CFP - https://loreslm.github.io/cfp]
[Submissions - https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/LoResLM]
Neural language models have revolutionised natural language processing (NLP) and have provided state-of-the-art results for many tasks. However, their effectiveness is largely dependent on the pre-training resources. Therefore, language models (LMs) often struggle with low-resource languages in both training and evaluation. Recently, there has been a growing trend in developing and adopting LMs for low-resource languages. Supporting this important shift, LoResLM aims to provide a forum for researchers to share and discuss their ongoing work on LMs for low-resource languages.
𝗧𝗼𝗽𝗶𝗰𝘀
LoResLM 2026 invites submissions on a broad range of topics related to the development and evaluation of neural language models for low-resource languages. We welcome research that explores modalities beyond text and encourage work on low-resource dialects in addition to major language varieties. Topics of interest include, but are not limited to:
• Building language models for low-resource languages.
• Adapting/extending existing language models/large language models for low-resource languages.
• Corpora creation and curation technologies for training language models/large language models for low-resource languages.
• Benchmarks to evaluate language models/large language models in low-resource languages.
• Prompting/in-context learning strategies for low-resource languages with large language models.
• Review of available corpora to train/fine-tune language models/large language models for low-resource languages.
• Multilingual/cross-lingual language models/large language models for low-resource languages.
• Multimodal language models/large language models for low-resource languages
• Applications of language models/large language models for low-resource languages (i.e. machine translation, chatbots, content moderation, etc.)
𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀
We follow the EACL 2026 standards for submission format and guidelines. LoResLM 2026 invites submissions of long papers up to 8 pages and short papers up to 4 pages. These page limits only apply to the main body of the paper. At the end of the paper (after the conclusions but before the references), papers need to include a mandatory section discussing the limitations of the work and, optionally, a section discussing ethical considerations. Papers can include unlimited pages of references and an appendix.
To prepare your submission, please make sure to use the EACL 2026 style files available here:
• Latex - https://github.com/acl-org/acl-style-files
• Overleaf - https://www.overleaf.com/latex/templates/association-for-computational-ling…
Papers should be submitted through OpenReview using the following link: https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/LoResLM
𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀
• Paper submission: 6th January 2026
• Notification of acceptance: 28th January 2026
• Camera-ready submission: 3rd February 2026
• Workshop: March 28, 2026- March 29, 2026 (TBD) @ EACL
𝗩𝗲𝗻𝘂𝗲
LoResLM 2026 will be held in conjunction with EACL 2026 in Rabat, Morocco.
𝗣𝗿𝗼𝗰𝗲𝗲𝗱𝗶𝗻𝗴𝘀
Proceedings of the workshop will appear in the ACL Anthology. For the past proceedings, please refer https://scholar.google.co.uk/citations?user=rvm3HOgAAAAJ&hl=en
𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿
Prof Barbara Plank - Full professor and chair for AI and Computational Linguistics at Ludwig-Maximilians-Universität München, Head of the Munich AI and NLP (MaiNLP) lab, and co-director of the Centre for Information and Language Processing (CIS)
𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗖𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲
David Ifeoluwa Adelani - McGill School of Computer Science, Canada
Idris Abdulmumin - University of Pretoria, South Africa
Godfred Agyapong - University of Florida, USA
Isuri Anuradha - Lancaster University, UK
Laura Bernardy - University of Luxembourg, Luxembourg
Ana-Maria Bucur - University of Lugano, Switzerland
Eleftheria Briakou - Google
Tommaso Caselli - University of Groningen, Netherlands
Çağrı Çöltekin - University of Tübingen, Germany
Charibeth Ko Cheng - De La Salle University, Philippines
Claudiu Creanga - University of Bucharest
Sourabh Deoghare - Indian Institute of Technology, Bombay, India
Bosheng Ding - Nanyang Technological University, Singapore
Alphaeus Dmonte - George Mason University, USA
Daan van Esch - Google
Ignatius Ezeani - Lancaster University, UK
Anna Furtado - University of Galway, Ireland
Ona de Gibert - University of Helsinki, Finland
Amal Htait - Aston University, UK
Diptesh Kanojia - University of Surrey, UK
Jaroslav Kopčan - Kempelen Institute of Intelligent Technologies, Slovakia
Constantine Lignos - Brandeis University, USA
Cedric Lothritz - Luxembourg Institute of Science and Technology, Luxembourg
Anne-Marie Lutgen - University of Luxembourg, Luxembourg
Sheng Li - Institute of Science Tokyo, Japan
Veronika Lipp - Hungarian Research Centre for Linguistics, Hungary
Vukosi Marivate - University of Pretoria, South Africa
Muhidin Mohamed - Aston University, UK
Simon Münker - Trier University, Germany
Abiodun Modupe - University of Pretoria, South Africa
Fred Philippy - University of Luxembourg, Luxembourg
Md Nishat Raihan - George Mason University, USA
Mariana Romanyshyn - Grammarly
Guokan Shang - Mohamed bin Zayed University of Artificial Intelligence, France
Ravi Shekhar - University of Essex, UK
Archchana Sindhujan - University of Surrey, UK
Hristo Tanev - Joint Research Centre, European Commission
Uthayasanker Thayasivam - University of Moratuwa, Sri Lanka
Raúl Vázquez - University of Helsinki, Finland
Taro Watanabe - Nara Institute of Science and Technology, Japan-
Zheng Xin Yong - Brown University, USA
Alexandra Zbaganu - University of Bucharest, Romania
𝗢𝗿𝗴𝗮𝗻𝗶𝘀𝗶𝗻𝗴 𝗖𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲
Hansi Hettiarachchi – Lancaster University, UK
Tharindu Ranasinghe – Lancaster University, UK
Alistair Plum – University of Luxembourg, Luxembourg
Damith Premasiri – Lancaster University, UK
Fiona Anting Tan – National University of Singapore, Singapore
Lasitha Uyangodage – University of Münster, Germany
𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘀
Paul Rayson – Lancaster University, UK
Ruslan Mitkov – Lancaster University, UK
Mohamed Gaber – Queensland University of Technology, Australia
𝗦𝘂𝗽𝗽𝗼𝗿𝘁𝗲𝗱 𝗯𝘆
The workshop is supported in part by the Artificial Intelligence Journal, which promotes and disseminates AI research.
𝗖𝗼𝗻𝘁𝗮𝗰𝘁 𝘂𝘀
Contact us through loreslm.contact(a)gmail.com.
Follow us on social media
• LinkedIn - https://www.linkedin.com/company/loreslm/
• X - https://x.com/LoResLM2026
• BlueSky - https://bsky.app/profile/loreslm.bsky.social
Best Regards
Tharindu Ranasinghe, on behalf of the organising committee, LoResLM 2026
Dr Tharindu Ranasinghe | Lecturer in Security and Protection Science
School of Computing and Communications | Lancaster University
𝗦𝗲𝗰𝗼𝗻𝗱 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗼𝗻 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗖𝘆𝗯𝗲𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 (𝗡𝗟𝗣𝗔𝗜𝗖𝗦’𝟮𝟬𝟮𝟲)
University of Alicante, Alicante, Spain
11 and 12 June 2026
https://nlpaics2026.gplsi.es/
𝐒𝐞𝐜𝐨𝐧𝐝 𝐂𝐚𝐥𝐥 𝐟𝐨𝐫 𝐏𝐚𝐩𝐞𝐫𝐬
Recent advances in Natural Language Processing (NLP), Deep Learning and Large Language Models (LLMs) have resulted in improved performance of applications. In particular, there has been a growing interest in employing AI methods in different Cyber Security applications.
In today's digital world, Cyber Security has emerged as a heightened priority for both individual users and organisations. As the volume of online information grows exponentially, traditional security approaches often struggle to identify and prevent evolving security threats. The inadequacy of conventional security frameworks highlights the need for innovative solutions that can effectively navigate the complex digital landscape to ensure robust security. NLP and AI in Cyber Security have vast potential to significantly enhance threat detection and mitigation by fostering the development of advanced security systems for autonomous identification, assessment, and response to security threats in real-time. Recognising this challenge and the capabilities of NLP and AI approaches to fortify Cyber Security systems, the Second International Conference on Natural Language Processing (NLP) and Artificial Intelligence (AI) for Cyber Security (NLPAICS’2026) continues the tradition from NLPAICS’2024 to be a gathering place for researchers in NLP and AI methods for Cyber Security. We invite contributions that present the latest NLP and AI solutions for mitigating risks in processing digital information.
𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝘁𝗼𝗽𝗶𝗰𝘀
The conference invites submissions on a broad range of topics related to the employment of NLP and AI (and in general, language studies and models) for Cyber Security including but not limited to:
- 𝘚𝘰𝘤𝘪𝘦𝘵𝘢𝘭 𝘢𝘯𝘥 𝘏𝘶𝘮𝘢𝘯 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘢𝘯𝘥 𝘚𝘢𝘧𝘦𝘵𝘺
- Content Legitimacy and Quality
- Detection and mitigation of hate speech and offensive language
- Fake news, deepfakes, misinformation and disinformation
- Detection of machine generated language in multimodal context (text, speech and gesture)
- Trust and credibility of online information
- User Security and Safety
- Cyberbullying and identification of internet offenders
- Monitoring extremist fora
- Suicide prevention
- Clickbait and scam detection
- Fake profile detection in online social networks
- Technical Measures and Solutions
- Social engineering identification, phishing detection
- NLP for risk assessment
- Controlled languages for safe messages
- Prevention of malicious use of ai models
- Forensic linguistics
- Human Factors in Cyber Security
- 𝘚𝘱𝘦𝘦𝘤𝘩 𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘢𝘯𝘥 𝘔𝘶𝘭𝘵𝘪𝘮𝘰𝘥𝘢𝘭 𝘐𝘯𝘷𝘦𝘴𝘵𝘪𝘨𝘢𝘵𝘪𝘰𝘯𝘴 𝘧𝘰𝘳 𝘊𝘺𝘣𝘦𝘳 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺
- Voice-based security: Analysis of voice recordings or transcripts for security threats
- Detection of machine generated language in multimodal context (text, speech and gesture)
- NLP and biometrics in multimodal context
- 𝘋𝘢𝘵𝘢 𝘢𝘯𝘥 𝘚𝘰𝘧𝘵𝘸𝘢𝘳𝘦 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺
- Cryptography
- Digital forensics
- Malware detection, obfuscation
- Models for documentation
- NLP for data privacy and leakage prevention (DLP)
- Addressing dataset “poisoning” attacks
- 𝘏𝘶𝘮𝘢𝘯-𝘊𝘦𝘯𝘵𝘳𝘪𝘤 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘢𝘯𝘥 𝘚𝘶𝘱𝘱𝘰𝘳𝘵
- Natural language understanding for chatbots: NLP-powered chatbots for user support and security incident reporting
- User behaviour analysis: analysing user-generated text data (e.g., chat logs and emails) to detect insider threats or unusual behaviour
- Human supervision of technology for Cyber Security
- 𝘈𝘯𝘰𝘮𝘢𝘭𝘺 𝘋𝘦𝘵𝘦𝘤𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘛𝘩𝘳𝘦𝘢𝘵 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘤𝘦
- Text-Based Anomaly Detection
- Identification of unusual or suspicious patterns in logs, incident reports or other textual data
- Detecting deviations from normal behaviour in system logs or network traffic
- Threat Intelligence Analysis
- Processing and analysing threat intelligence reports, news, articles and blogs on latest Cyber Security threats
- Extracting key information and indicators of compromise (IoCs) from unstructured text
- 𝘚𝘺𝘴𝘵𝘦𝘮𝘴 𝘢𝘯𝘥 𝘐𝘯𝘧𝘳𝘢𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺
- Systems Security
- Anti-reverse engineering for protecting privacy and anonymity
- Identification and mitigation of side-channel attacks
- Authentication and access control
- Enterprise-level mitigation
- NLP for software vulnerability detection
- Malware Detection through Code Analysis
- Analysing code and scripts for malware
- Detection using NLP to identify patterns indicative of malicious code
- 𝘍𝘪𝘯𝘢𝘯𝘤𝘪𝘢𝘭 𝘊𝘺𝘣𝘦𝘳 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺
- Financial fraud detection
- Financial risk detection
- Algorithmic trading security
- Secure online banking
- Risk management in finance
- Financial text analytics
- 𝘌𝘵𝘩𝘪𝘤𝘴, 𝘉𝘪𝘢𝘴, 𝘢𝘯𝘥 𝘓𝘦𝘨𝘪𝘴𝘭𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘊𝘺𝘣𝘦𝘳 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺
- Ethical and Legal Issues
- Digital privacy and identity management
- The ethics of NLP and speech technology
- Explainability of NLP and speech technology tools
- Legislation against malicious use of AI
- Regulatory issues
- Bias and Security
- Bias in Large Language Models (LLMs)
- Bias in security related datasets and annotations
- 𝘋𝘢𝘵𝘢𝘴𝘦𝘵𝘴 𝘢𝘯𝘥 𝘙𝘦𝘴𝘰𝘶𝘳𝘤𝘦𝘴 𝘧𝘰𝘳 𝘊𝘺𝘣𝘦𝘳 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴
- 𝘚𝘱𝘦𝘤𝘪𝘢𝘭𝘪𝘴𝘦𝘥 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴 𝘢𝘯𝘥 𝘖𝘱𝘦𝘯 𝘛𝘰𝘱𝘪𝘤s
- Intelligence applications
- Emerging and innovative applications in Cyber Security
𝘚𝘱𝘦𝘤𝘪𝘢𝘭 𝘛𝘩𝘦𝘮𝘦 𝘛𝘳𝘢𝘤𝘬 - 𝘍𝘶𝘵𝘶𝘳𝘦 𝘰𝘧 𝘊𝘺𝘣𝘦𝘳 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘪𝘯 𝘵𝘩𝘦 𝘌𝘳𝘢 𝘰𝘧 𝘓𝘓𝘔𝘴 𝘢𝘯𝘥 𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘈𝘐
NLPAICS 2026 will feature a special theme track with the goal of stimulating discussion around Large Language Models (LLMs), Generative AI and ensuring their safety. The latest generation of LLMs, such as CHATGPT, Gemini, DeepSeek, LLAMA and open-source alternatives, has showcased remarkable advancements in text and image understanding and generation. However, as we navigate through uncharted territory, it becomes imperative to address the challenges associated with employing these models in everyday tasks, focusing on aspects such as fairness, ethics, and responsibility. The theme track invites studies on how to ensure the safety of LLMs in various tasks and applications and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following:
• Detection of LLM-generated language in multimodal context (text, speech and gesture)
• LLMs for forensic linguistics
• Bias in LLMs
• Safety benchmarks for LLMs
• Legislation against malicious use of LLMs
• Tools to evaluate safety in LLMs
• Methods to enhance the robustness of language models
𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻
NLPAICS welcomes high-quality submissions in English, which can take two forms:
• Regular long papers: These can be up to eight (8) pages long, presenting substantial, original, completed, and unpublished work.
• Short (poster) papers: These can be up to four (4) pages long and are suitable for describing small, focused contributions, ongoing research, negative results, system demonstrations, etc. Short papers will be presented as part of a poster session.
The conference will not consider and evaluate abstracts only.
Accepted papers, including both long and short papers, will be published as e-proceedings with ISBN will available online on the conference website at the time of the conference and are expected to be uploaded into the ACL Anthology.
To prepare your submission, please make sure to use the NLPAICS 2026 style files available here -
Latex - https://www.overleaf.com/read/sgwmrzbmjfhc#aeea77
Word - https://nlpaics2026.gplsi.es/wp-content/uploads/2025/11/NLPAICS2026_Proceed…
Papers should be submitted through Softconf/START using the following link: https://softconf.com/p/nlpaics2026/user/
The conference will feature a student workshop, and awards will be offered to the authors of the best papers.
𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗱𝗮𝘁𝗲𝘀
• Submissions due: 16 March 2026
• Reviewing process: 1 April – 30 April 2026
• Notification of acceptance: 5 May 2026
• Camera-ready due: 19 May 2026
• Conference camera-ready proceedings ready 1 June 2026
• Conference: 11-12 June 2026
𝗢𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻
𝙲̲𝚘̲𝚗̲𝚏̲𝚎̲𝚛̲𝚎̲𝚗̲𝚌̲𝚎̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲𝚜̲ ̲
Ruslan Mitkov (University of Alicante)
Rafael Muñoz (University of Alicante)
𝙿̲𝚛̲𝚘̲𝚐̲𝚛̲𝚊̲𝚖̲𝚖̲𝚎̲ ̲𝙲̲𝚘̲𝚖̲𝚖̲𝚒̲𝚝̲𝚝̲𝚎̲𝚎̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲𝚜̲
Elena Lloret (University of Alicante)
Tharindu Ranasinghe (Lancaster University)
𝙿̲𝚞̲𝚋̲𝚕̲𝚒̲𝚌̲𝚊̲𝚝̲𝚒̲𝚘̲𝚗̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲
Ernesto Estevanell (University of Alicante)
𝚂̲𝚙̲𝚘̲𝚗̲𝚜̲𝚘̲𝚛̲𝚜̲𝚑̲𝚒̲𝚙̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲
Andres Montoyo (University of Alicante)
𝚂̲𝚝̲𝚞̲𝚍̲𝚎̲𝚗̲𝚝̲ ̲𝚆̲𝚘̲𝚛̲𝚔̲𝚜̲𝚑̲𝚘̲𝚙̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲
Salima Lamsiyah (University of Luxembourg)
𝙱̲𝚎̲𝚜̲𝚝̲ ̲𝙿̲𝚊̲𝚙̲𝚎̲𝚛̲ ̲𝙰̲𝚠̲𝚊̲𝚛̲𝚍̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲
Saad Ezzini (King Fahd University of Petroleum & Minerals)
𝙿̲𝚞̲𝚋̲𝚕̲𝚒̲𝚌̲𝚒̲𝚝̲𝚢̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲
Beatriz Botella (University of Alicante)
𝚂̲𝚘̲𝚌̲𝚒̲𝚊̲𝚕̲ ̲𝙿̲𝚛̲𝚘̲𝚐̲𝚛̲𝚊̲𝚖̲𝚖̲𝚎̲ ̲𝙲̲𝚑̲𝚊̲𝚒̲𝚛̲
Alba Bonet (University of Alicante)
𝗩𝗲𝗻𝘂𝗲
The Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2026) will take place at the University of Alicante and is organised by the University of Alicante GPLSI research group.
Further information and contact details
The follow-up calls will list keynote speakers and members of the programme committee once confirmed.
The conference website is https://nlpaics2026.gplsi.es/ and will be updated on a regular basis. For further information, please email nlpaics2026(a)dlsi.ua.es
Registration will open in February 2026.
Best Regards
Tharindu Ranasinghe
Dr Tharindu Ranasinghe | Lecturer in Security and Protection Science
School of Computing and Communications | Lancaster University
www.lancaster.ac.uk<https://www.lancaster.ac.uk/>
Dear all,
This is the second CfP for VarDial 2026 - The Thirteenth Workshop on NLP for Similar Languages, Varieties and Dialects (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: December 19, 2025
- Pre-reviewed (ARR) submission deadline: January 2, 2026
- 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
𝗦𝗲𝗰𝗼𝗻𝗱 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀 - 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 ‘𝗡𝗲𝘄 𝗧𝗿𝗲𝗻𝗱𝘀 𝗶𝗻 𝗧𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗶𝗻𝗴 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆’ (𝗡𝗲𝗧𝗧𝗜𝗧’𝟮𝟬𝟮𝟲)
[Website - https://nettt-conference.com/2026/]
The third edition of the International Conference ‘New Trends in Translation and Interpreting Technology’ (NeTTIT’2026) will take place in Dubrovnik, Croatia, from 24 to 27 June 2026.
The objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation and interpreting studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTIT’2026 invites all professionals who would like to learn about the new trends, present the latest work and/or share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures.
The conference will include plenary presentations (research and user presentations, keynote speeches), poster sessions and panel discussions. All submitted papers will be peer-reviewed by experts, and the accepted papers will be published as open-access conference e-proceedings, which will be available at the time of the conference.
𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗧𝗼𝗽𝗶𝗰𝘀
Contributions are invited on any topic related to the latest technology and practices in translation, subtitling, localisation, interpreting, machine translation and Large Language Models used in translation and interpreting. NeTTIT’2026 will feature a Special Theme Track "Future of Translation and Interpreting Technologies in the Era of LLMs and Generative AI".
The conference topics include, but are not limited to (see also the special conference theme below):
CAT tools
- Translation Memory (TM) systems
- NLP and MT for translation memory systems
- Terminology extraction tools
- Localisation tools
Machine Translation
- Latest developments in Neural Machine Translation
- MT for under-resourced languages
- MT with low computing resources
- Multimodal MT
- Integration of MT in TM systems
- Resources for MT
Technologies for MT deployment
- MT evaluation techniques, metrics and evaluation results
- Human evaluations of MT output
- Evaluating MT in a real-world setting
- Quality estimation for MT
- Domain adaptation
Translation Studies
- Corpus-based studies applied to translation
- Corpora and resources for translation
- Translationese
- Cognitive effort and eye-tracking experiments in translation
Interpreting studies
- Corpus-based studies applied to interpreting
- Corpora and resources for interpreting
- Interpretese
- Resources for interpreting and interpreting technology applications
- Cognitive effort and eye-tracking experiments in interpreting
Interpreting technology
- Machine interpreting
- Computer-aided interpreting
- NLP for dialogue interpreting
- Development of NLP-based applications for communication in public service settings (healthcare, education, law, emergency services)
Emerging Areas in Translation and Interpreting
- MT and translation tools for literary texts and creative texts
- MT for social media and real-time conversations
- Sign language recognition and translation
Subtitling
- NLP and MT for subtitling
- Latest technology for subtitling
User needs
- Analysis of translators’ and interpreters’ needs in terms of translation and interpreting technology
- User requirements for interpreting and translation tools
- Incorporating human knowledge into translation and interpreting technology
- What existing translators’ (including subtitlers’) and interpreters’ tools do not offer
- User requirements for electronic resources for translators and interpreters
- Translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed
The business of translation and interpreting
- Translation workflow and management
- Technology adoption by translators and industry
- Setting up translation / interpreting / language provider company
Teaching translation and interpreting
- Teaching Machine Translation
- Teaching translation technology
- Teaching interpreting technology
- Latest AI developments in the syllabi of translation and interpreting curricula
Ethical issues in translation and technology
- Bias and fairness in MT
- Privacy and security in cloud MT systems
- Transparency and explainability of MT systems
- Environmental impact on MT systems
Special Theme Track - Future of Translation and Interpreting Technologies in the Era of LLMs and Generative AI
We are excited to share that NeTTIT’2026 will have a special theme with the goal of stimulating discussion around Large Language Models, Generative AI and the Future of Translation and Interpreting Technologies. While the new generation of Large Language Models such as CHATGPT, Gemini, Claude, DeepSeek and LLAMA showcase remarkable advancements in language generation and understanding, we find ourselves in uncharted territory when it comes to their performance on various Translation and Interpreting Technology tasks with regards to fairness, interpretability, ethics and transparency.
The theme track invites studies on how LLMs perform on Translation and Interpreting Technology tasks and applications, and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following:
- Changes in (and the impact on) the translators and interpreters’ professions in the new AI era, especially as a result of the latest developments in LLMs and Generative AI
- Generative AI and translation
- Generative AI and interpreting
- Augmenting machine translation systems with generative AI
- Domain and terminology adaptation with Large Language Models
- Literary translation with Large Language Models
- Translation for low-resourced and minority languages with LLMs
- Improving Machine Translation Quality with Contextual Prompts in Large Language Models
- Prompt engineering for translation
- Generative AI for professional translation
- Generative AI for professional interpreting
𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻
NeTTIT’2026 invites the following types of submissions in English:
- Academic papers
Regular long papers: These can be up to eight (8) pages long, presenting substantial, original, completed, and unpublished work.
Short papers: These can be up to four (4) pages long and are suitable for describing small, focused contributions, work-in-progress, negative results, system demonstrations, etc.
- User papers: for industry and practitioners. References to related work are optional. Allowed paper length: between 2 and 4 pages.
Submission link – Papers should be submitted through Softconf/START using the following link: https://softconf.com/p/nettit2026/user/
The conference will not consider and evaluate abstracts only.
Further details on the submission procedure will be made available in the Second Call for Papers due in October 2025.
The accepted papers will be published in the conference e-proceedings with assigned ISBN and DOI and made available online on the conference website at the time of the conference.
𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀
Submissions due: 23 March 2026
Reviewing process: 25 March – 25 April 2026
Notification of acceptance: 28 April 2026
Camera-ready due: 25 May 2026
Conference camera-ready proceedings ready 15 June 2026
Conference: 24-27 June 2026
𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗖𝗵𝗮𝗶𝗿𝘀
Gloria Corpas Pastor (University of Malaga)
Ruslan Mitkov (Lancaster University and University of Alicante)
Marko Tadic (University of Zagreb)
𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲 𝗖𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲 𝗖𝗵𝗮𝗶𝗿𝘀
Constantin Orasan (University of Surrey)
Tharindu Ranasinghe (Lancaster University)
𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗵𝗮𝗶𝗿𝘀
Marie Escribe (LanguageWire and Polytechnic University of Valencia, Spain)
Alicia Picazo Izquierdo (University of Alicante, Spain)
𝗣𝘂𝗯𝗹𝗶𝗰𝗶𝘁𝘆 𝗮𝗻𝗱 𝗦𝗽𝗼𝗻𝘀𝗼𝗿𝘀𝗵𝗶𝗽 𝗖𝗵𝗮𝗶𝗿
Vilelmini Sosoni (Ionian University)
𝗩𝗲𝗻𝘂𝗲
The conference will take place at the Centre for Advanced Academic Studies (CAAS) of the University of Zagreb (http://www.caas.unizg.hr/) in Dubrovnik.
𝗦𝗽𝗼𝗻𝘀𝗼𝗿𝘀𝗵𝗶𝗽 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀
Companies working in the fields of translation technology, interpreting technology and/or related fields, are welcome to familiarise themselves the sponsorship opportunities that the conference offers. Please visit https://nettt-conference.com/2026/sponsors/ for more details.
𝗙𝘂𝗿𝘁𝗵𝗲𝗿 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗰𝗼𝗻𝘁𝗮𝗰𝘁 𝗱𝗲𝘁𝗮𝗶𝗹𝘀
The conference website (https://nettt-conference.com/) will be updated on a regular basis. For further information, please email nettit2026(a)nettt-conference.com. You can also follow us on social media for updates and announcements.
LinkedIn - https://www.linkedin.com/company/nettit2026/
Twitter/X - https://x.com/NeTTIT2026
Best Regards
Tharindu Ranasinghe
Dr Tharindu Ranasinghe | Lecturer in Security and Protection Science
School of Computing and Communications | Lancaster University
Dear Colleagues,
The SIGUL Board is pleased to invite nominations for the positions of
*Chair(s)* and *Secretary* of the /Special Interest Group on
Under-resourced Languages (SIGUL)/.
The newly elected Board will serve for the term *2026-2027*.
Each proposer may nominate *up to three candidates*, one for each position.
Please submit your nominations by *October 31* using the form below:
https://forms.gle/ctqWNLhmEhodFd8V7<https://forms.gle/ctqWNLhmEhodFd8V7>
You will be asked to provide details of the nominated person, together
with a short bio and a motivation. All nominations will be acknowledged
upon receipt.
For further details about SIGUL and its governance, please visit:
https://www.elra.info/en/about/sig/sigul/<https://www.elra.info/en/about/sig/sigul/>
Thank you for your participation and continued support of the SIGUL
community.
Warm regards,
The SIGUL Board (Sakriani Sakti, Claudia Soria, Maite Melero)*
*
𝗙𝗶𝗿𝘀𝘁 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀 - 𝗧𝗵𝗲 𝗦𝗲𝗰𝗼𝗻𝗱 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗼𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 𝗳𝗼𝗿 𝗟𝗼𝘄-𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀
[Workshop website - https://loreslm.github.io/home]
[CFP - https://loreslm.github.io/cfp]
Neural language models have revolutionised natural language processing (NLP) and have provided state-of-the-art results for many tasks. However, their effectiveness is largely dependent on the pre-training resources. Therefore, language models (LMs) often struggle with low-resource languages in both training and evaluation. Recently, there has been a growing trend in developing and adopting LMs for low-resource languages. Supporting this important shift, LoResLM aims to provide a forum for researchers to share and discuss their ongoing work on LMs for low-resource languages.
𝗧𝗼𝗽𝗶𝗰𝘀
LoResLM 2026 invites submissions on a broad range of topics related to the development and evaluation of neural language models for low-resource languages. We welcome research that explores modalities beyond text and encourage work on low-resource dialects in addition to major language varieties. Topics of interest include, but are not limited to:
• Building language models for low-resource languages.
• Adapting/extending existing language models/large language models for low-resource languages.
• Corpora creation and curation technologies for training language models/large language models for low-resource languages.
• Benchmarks to evaluate language models/large language models in low-resource languages.
• Prompting/in-context learning strategies for low-resource languages with large language models.
• Review of available corpora to train/fine-tune language models/large language models for low-resource languages.
• Multilingual/cross-lingual language models/large language models for low-resource languages.
• Multimodal language models/large language models for low-resource languages
• Applications of language models/large language models for low-resource languages (i.e. machine translation, chatbots, content moderation, etc.)
𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀
We follow the EACL 2026 standards for submission format and guidelines. LoResLM 2026 invites submissions of long papers up to 8 pages and short papers up to 4 pages. These page limits only apply to the main body of the paper. At the end of the paper (after the conclusions but before the references), papers need to include a mandatory section discussing the limitations of the work and, optionally, a section discussing ethical considerations. Papers can include unlimited pages of references and an appendix.
To prepare your submission, please make sure to use the EACL 2026 style files available here:
• Latex - https://github.com/acl-org/acl-style-files
• Overleaf - https://www.overleaf.com/latex/templates/association-for-computational-ling…
Papers should be submitted through OpenReview using the following link: https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/LoResLM
𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀
• Paper submission: 6th January 2026
• Notification of acceptance: 28th January 2026
• Camera-ready submission: 3rd February 2026
• Workshop: March 28, 2026- March 29, 2026 (TBD) @ EACL
𝗩𝗲𝗻𝘂𝗲
LoResLM 2026 will be held in conjunction with EACL 2026 in Rabat, Morocco.
𝗣𝗿𝗼𝗰𝗲𝗲𝗱𝗶𝗻𝗴𝘀
Proceedings of the workshop will appear in ACL Anthology. For the past proceedings, please refer https://scholar.google.co.uk/citations?user=rvm3HOgAAAAJ&hl=en
𝗢𝗿𝗴𝗮𝗻𝗶𝘀𝗶𝗻𝗴 𝗖𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲
Hansi Hettiarachchi – Lancaster University, UK
Tharindu Ranasinghe – Lancaster University, UK
Alistair Plum – University of Luxembourg, Luxembourg
Damith Premasiri – Lancaster University, UK
Fiona Anting Tan – National University of Singapore, Singapore
Lasitha Uyangodage – University of Münster, Germany
𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘀
Paul Rayson – Lancaster University, UK
Ruslan Mitkov – Lancaster University, UK
Mohamed Gaber – Queensland University of Technology, Australia
𝗦𝘂𝗽𝗽𝗼𝗿𝘁𝗲𝗱 𝗯𝘆
The workshop is supported in part by the Artificial Intelligence Journal, which promotes and disseminates AI research.
𝗖𝗼𝗻𝘁𝗮𝗰𝘁 𝘂𝘀
Contact us through loreslm.contact(a)gmail.com.
Follow us in social media
• LinkedIn - https://www.linkedin.com/company/loreslm/
• X - https://x.com/LoResLM2026
• BlueSky - https://bsky.app/profile/loreslm.bsky.social
Best Regards
Tharindu Ranasinghe, on behalf of the organising committee, LoResLM 2026
Dr Tharindu Ranasinghe | Lecturer in Security and Protection Science
School of Computing and Communications | Lancaster University
Dear all,
Here is our CfP for VarDial 2026 - The Thirteenth Workshop on NLP for Similar Languages, Varieties and Dialects:
--
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: December 19, 2025
- Pre-reviewed (ARR) submission deadline: January 2, 2026
- Notification of acceptance: January 23, 2026
- Camera-ready paper due: February 3, 2026
- Workshop at EACL (hybrid): March 24-29, 2026 (exact date TBD)
Organizers
Yves Scherrer - University of Helsinki (Finland)
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 (Slovenia) and University of Zagreb (Croatia)
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)helsinki.fi or tommi.jauhiainen(a)helsinki.fi
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Best regards,
Verena Blaschke
Final Call for Participation
DHASA Conference and RAIL workshop 2025
https://dh2025.digitalhumanities.org.zahttps://sadilar.org/en/rail-2025/
DHASA conference dates: 11 November 2025-14 November 2025
RAIL workshop date: 10 November 2025
Conference venue: CSIR ICC, Pretoria, South Africa
Registration: https://dh2025.digitalhumanities.org.za/registration/
DHASA CONFERENCE
Theme: The role of humanities in digital humanities and artificial
intelligence
The Digital Humanities Association of Southern Africa (DHASA) is
pleased to announce its fifth conference, focusing on the theme The
role of humanities in digital humanities and artificial intelligence.
In a region where the field of Digital Humanities is still relatively
underdeveloped, this conference aims to address this gap and foster
growth and collaboration in the field. The conference offers an
opportunity for researchers interested in showcasing their work in the
broad field of Digital Humanities to come together. By doing so, the
conference provides a comprehensive overview of the current state-of-
the-art in Digital Humanities, particularly within the Southern Africa
region. As such, we welcome submissions related to Digital Humanities
research conducted by individuals from Southern Africa or research
focused on the geographical area of Southern Africa in the broad sense.
Furthermore, the conference serves as a platform for information
sharing and networking among researchers passionate about Digital
Humanities. By bringing together experts working on Digital Humanities
in Southern Africa or with a focus on Southern Africa, we aim to
promote collaboration and facilitate further research in this dynamic
field. In addition to the main conference, affiliated workshops and
tutorials will be organised, providing researchers with valuable
insights into novel technologies and tools. These supplementary events
are designed for researchers interested in specific aspects of Digital
Humanities or seeking practical information to enter or advance their
knowledge in the field.
The DHASA conference welcomes interdisciplinary contributions from
researchers in various domains of Digital Humanities, including, but
not limited to, language, literature, visual art, performance and
theatre studies, media studies, music, history, sociology, psychology,
language technologies, library studies, philosophy, methodologies,
software and computation, AI, and more. Our goal is to cultivate an
inclusive scientific community of practice within Digital Humanities.
RAIL WORKSHOP
Theme: Language resources in the age of large language models
The sixth Resources for African Indigenous Languages (RAIL) workshop
will be co-located with the Digital Humanities Association of Southern
Africa (DHASA) 2025 conference at the CSIR International Convention
Centre in Pretoria, South Africa, on 10 November 2025. The RAIL
workshop is an interdisciplinary platform for researchers working on
African indigenous languages resources such as natural languages
processing (NLP) tools, Human Language Technologies (HLT), data
collections, and annotations. This workshop aims to foster a scientific
community of practice that focuses on computational linguistic tools
and data that are designed for or applied to the indigenous languages
of Africa.
Many African languages are under-resourced while only a few are
considered to be somewhat better resourced. These languages often share
interesting properties such as writing systems, making them different
from most high-resourced languages. From a computational perspective,
these languages lack enough corpora to undertake high level development
of NLP and HLT tools, which in turn impedes the development of African
languages in these areas. During previous workshops, it was noted that
the problems and solutions presented were not only applicable to
African languages but were also relevant to many other low-resource
languages across the world. Because these languages share similar
challenges, this workshop provides researchers with opportunities to
work collaboratively on issues of language resource development and
learn from each other.
The RAIL workshop has several aims. First, the workshop brings together
researchers who work on African indigenous languages, forming a
community of practice for people working on indigenous languages.
Second, the workshop aims to reveal currently unknown or unpublished
existing resources (corpora, NLP tools, and applications), resulting in
a better overview of the current state-of-the-art, and also allows for
discussions on novel, desired resources for future research in this
area. Third, it enhances sharing of knowledge on the development of
low-resource languages. Finally, it enables discussions on how to
improve the quality as well as availability of the resources.
Organising Committees
DHASA conference
Aby Louw, Council for Scientific and Industrial Research
Franco Mak, Council for Scientific and Industrial Research
Franziska Pannach, Rijksuniversiteit Groningen
Ilana Wilken, Council for Scientific and Industrial Research
Johannes Sibeko, Nelson Mandela University
Juan Steyn, South African Centre for Digital Language Resources
Laurette Marais, Council for Scientific and Industrial Research
Marissa Griesel, South African Centre for Digital Language Resources
Menno van Zaanen, South African Centre for Digital Language Resources
Privolin Naidoo, Council for Scientific and Industrial Research
Sthembiso Mkhwanazi, Council for Scientific and Industrial Research
RAIL workshop
Rooweither Mabuya, South African Centre for Digital Language Resources
Muzi Matfunjwa, South African Centre for Digital Language Resources
Mmasibidi Setaka, South African Centre for Digital Language Resources
Menno van Zaanen, South African Centre for Digital Language Resources
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Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za
Professor in Digital Humanities
South African Centre for Digital Language Resources
https://www.sadilar.org
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