SIGUL January 2026

sigul@list.elra.info

3 participants
3 discussions

2nd Call for Papers and Mentorship Provision — Workshop on Dialects in NLP: A Resource Perspective (at LREC 2026)
by s.bompolas＠athenarc.gr 19 Jan '26

19 Jan '26

2nd Call for Papers and Mentorship Provision Dialects in NLP: A Resource Perspective (DialRes-LREC26) Workshop at LREC 2026 — Palma de Mallorca, Spain Dialectal and non-standard varieties pose persistent challenges for linguistic resource development. While in-depth study and large-scale resource creation for dominant or standard varieties have driven major advances in language technology, linguistic resources that adequately represent dialectal variation remain scarce. It therefore remains an open question whether standard-centric practices address dialectal variation or instead create new problems for dialects. DialRes-LREC26 invites submissions on the creation, analysis, and evaluation of dialectal resources, including—but not limited to—work that critically examines how standard-centric methodologies impact dialects in the development of linguistic resources and models. We especially encourage contributions addressing the consequences of such practices for speech and morphosyntactic modelling, OCR of dialectal and historical texts, orthographic normalisation and homogenisation, annotation practices and lemmatisation strategies that abstract away or suppress dialectal forms, as well as analyses of how these choices affect dialects and their communities methodologically, economically, and socially. The workshop focuses on problems, limitations, and trade-offs in developing dialectal resources from a linguistic perspective, while encouraging the creation and evaluation of resources in formats that enable reuse by the NLP community. Workshop Topics • Development and evaluation of dialectal oral and textual resources • Orthographic normalisation and homogenisation, including their impact on dialectal variation • Dialects vs. standard language varieties in annotation frameworks • Cross-lingual and cross-dialectal transfer and model adaptation • Resource scalability issues and techniques • Use and limitations of large language models (LLMs) in dialectal resource development • OCR for dialectal, non-standard, and historical texts: challenges, errors, and downstream effects • Resources for, and applications supporting, dialect revitalisation and preservation • Dialectal studies and teaching from a resource-oriented perspective • Working on dialectal resources: academic, financial, legal, and societal issues • Enabling and empowering dialect communities to develop their own resources Author Support The workshop will offer individual tutoring and mentoring upon request. Interested authors should contact the organizers at least 10 days before the paper submission deadline at: dialres-lrec26(a)googlegroups.com This support is addressed especially to early-career researchers and contributors working with dialectal data who have limited or no prior experience in developing NLP-oriented resources. Submission Information Instructions for Authors Submissions are electronic, using the Softconf START conference management system via the link: https://softconf.com/lrec2026/DialRes. They must be 4 to 8 pages long (excluding references and potential Ethics Statements) and follow the LREC stylesheet, available on the conference website on the Author’s kit page Author’s Kit. All templates are also available from this page. Important Dates • 20 February 2026 — Submission Deadline • 11 March 2026 — Notification of Acceptance • 28 March 2026 — Camera-ready Papers Due Resubmissions from the LREC Main Conference It will also be possible to submit papers that were rejected from the LREC 2026 main conference to DialRes 2026. Such submissions must be revised to fit the scope and format of the workshop and must comply with the same anonymization requirements. Endorsements The workshop is endorsed by UniDive COST Action CA21167 and Archimedes Athena R.C. 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

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1st Call for Papers: SIGUL 2026 Joint Workshop with ELE, EURALI, and DCLRL Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages
by Atul K. Ojha 08 Jan '26

08 Jan '26

Apologies for cross-posting. --------------------------------------------------------------------------- *SIGUL 2026 Joint Workshop with ELE, EURALI, and DCLRL* *Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages* *https://sites.google.com/view/sigul2026/home-page <https://sites.google.com/view/sigul2026/home-page>* ------------------------------------ We are pleased to announce the upcoming SIGUL 2026 Joint Workshop with ELE, EURALI, and DCLRL on Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages <https://sites.google.com/view/sigul2026/home-page>, co-located with *LREC 2026 *in Palma, Mallorca, Spain. This workshop brings together researchers working on less-resourced, endangered, minority, low-density, and underrepresented languages to share novel techniques, resources, strategies, and evaluation methods. We emphasize the entire pipeline: data creation, modeling, adaptation/transfer, system development, evaluation, deployment, and ethical/community engagement. We invite contributions on, but not limited to, the following topics: - Data collection, annotation, and curation for under-resourced languages (crowdsourcing, participatory methods, gamification, unsupervised or weakly supervised methods) - Learning with limited supervision (zero- or few-shot, PEFT, RAG with linguistic resources) - Multilingual alignment, representation learning, and language embeddings, including rare languages - Speech, multimodal, and cross-modal technologies for under-resourced languages (speech recognition, synthesis, speech-to-text, speech translation, multimodal resources) - Basic text processing (normalization, orthography, transliteration, tokenization/segmentation, morphological and syntactic processing) in and for low-resource settings. - Low-resource machine translation (pivoting, alignment, synthetic data) - Evaluation frameworks, benchmarks, and metrics designed or adapted for underrepresented languages - Adaptation, domain adaptation, and robustness to domain shift in low-resource contexts - Responsible approaches, ethical issues, community engagement, data sovereignty, and language revitalization - Deployment, tools, and practical systems for underserved languages (e.g., mobile apps, dictionary or translation apps, linguistic tools) - Case studies of success and negative results (with lessons learned) - Interoperability, standardization, and metadata practices for datasets in low-resource scenarios Special Themes Language modeling for intra-language variation, dialects, accents, and regional variants of less-resourced languages Many less-resourced languages display rich internal diversity, including dialects, accents, and regional or social varieties. This special theme focuses on developing language models and speech technologies that capture and respect intra-language variation rather than reduce it to a single “standard.” We welcome work on dialect identification and adaptation, accent-robust speech systems, normalization vs. diversity-preserving modeling, and cross-dialect transfer in low-data scenarios. Approaches combining linguistic insights, community participation, and ethical awareness are especially encouraged. The aim is to build technologies that reflect and sustain the true linguistic richness of under-resourced languages. Ultra-Low-Resource Language Adaptation This special theme focuses on methods that enable effective language and speech technology development under extreme data scarcity. We invite research on transfer learning, cross-lingual adaptation, multilingual pretraining, and self-supervised or few-shot approaches tailored to ultra-low-resource settings. Work on evaluation, data augmentation (including synthetic data), and leveraging typological or linguistic knowledge is also welcome. The goal is to advance techniques that extend modern language technologies to the most underrepresented languages, ensuring inclusivity in the digital age. Community-Led Project Showcase To help ground research in community needs, we invite brief (5–10 min) presentations by language community members, NGOs, or practitioners describing real-world challenges or resource needs. Position papers or research posters are appropriate formats for this category. Important Dates Paper Submission Deadline: February 20 (Friday), 2026 Notification of Acceptance: March 22 (Sunday), 2026 Submission of Camera-Ready: March 30 (Monday), 2026 Workshop Date: 11-12 May 2026 All deadlines are anywhere-on-earth (AoE). Call for Papers We welcome original research papers and ongoing work relevant to the topics of the workshop. Each submission can be one of the following categories: - research papers; - position papers for reflective considerations of methodological, best practice, and institutional issues (e.g., ethics, data ownership, speakers’ community involvement, de-colonizing approaches); - posters, for work-in-progress projects in the early stage of development or description of new resources; - demo papers and early-career/student papers (to be submitted as extended abstracts and presented as posters). The research and position papers should range from four (4) to eight (8) pages, while demo papers are limited to four (4) pages. References don't count towards page limits. Accepted papers will appear in the workshop proceedings, which include both oral and poster papers in the same format. Determination of the presentation format (oral vs. poster) is based solely on an assessment of the optimal method of communication (more or less interactive), given the paper content. Submissions must be anonymous and follow LREC formatting guidelines <https://lrec2026.info/authors-kit/>. For inquiries, send an email to claudia.soria(a)cnr.it. Identify, Describe and Share your LRs! When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also 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 authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). Thanks, Atul

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Third and Final Call for Papers: The Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026 @ EACL)
by Ranasinghe, Tharindu 02 Jan '26

02 Jan '26

𝗧𝗵𝗶𝗿𝗱 𝗮𝗻𝗱 𝗙𝗶𝗻𝗮𝗹 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: 29th March 2026 @ 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 www.lancaster.ac.uk<https://www.lancaster.ac.uk/>

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