- Corpora - ELRA lists

Funded PhD Position to work on Community-led Development of Technology for Under-Resourced Languages
by Ekaterina Vylomova 24 Feb '26

24 Feb '26

The PhD position is funded by ARC DECRA titled "Harnessing AI to Protect Endangered Languages" for 3 years, with Katerina Vylomova as a primary supervisor. The PhD student's research is expected to focus on technology for languages of Oceania, with a particular emphasis on collaboration (co-design) with local communities. The candidate is expected to have technical competence, ability to develop & improve contemporary NLP models, propose novel research ideas and innovative approaches. An ideal candidate would have existing connections to communities in Oceania, strong motivation to work on language technology, and increased interest in languages in general. Before you apply, please send me your CV, research proposal, and transcripts on vylomovae AT unimelb edu au. More information about the application process: https://study.unimelb.edu.au/find/courses/graduate/doctor-of-philosophy-eng…

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CFP: READIxTSAR 2026 - deadline extended to 2nd of March
by Rémi Cardon 23 Feb '26

23 Feb '26

READIxTSAR 2026 Last Call for Papers **Deadline Extended to March 2nd (AoE / UTC-12:00)** Website: https://readixtsar.github.io/ Submission Link: https://softconf.com/lrec2026/READIxTSAR/user/ READIxTSAR is a joint initiative between two previous workshops of mutual interest: Tools and Resources for REAding DIfficulties (READI, hosted at LREC 2020,22,24) and Text Simplification, Accessibility and Readability (TSAR, EMNLP 2022,24,25, RANLP 2023). This year at LREC, the committees of the two events have merged to deliver a joint event, uniting accessibility research communities under a common umbrella. We aim for READIxTSAR to be a focal point for communities of researchers working on reading difficulties, accessibility and simplification to network, share best practice and form new collaborations. *Motivation and Context* The growth of educational and assistive technologies for reading, aimed at enhancing the performance of individuals with disabilities, provides an important setting for Text Simplification research. The field of special education has had a longstanding interest in technology and the potential it holds for individuals with language/speech disabilities, cognitive disorders, etc. (Edyburn, 2000). This workshop aims to present state-of-the-art applications and approaches in technology-enhanced reading and innovations in text accessibility. The workshop will address specialized technology, tools, and resources, their impact on learning to read and comprehension, and innovative works spanning research to fieldwork, particularly in light of recent AI advances. Research in automatic text simplification has evolved from deep learning methods (Martin et al., 2020; Maddela et al., 2021; Sheang and Saggion, 2021) to leveraging foundational large language models (Kew et al. 2023; Cripwell et al. 2023; Farajidizaji et al. 2024) through fine-tuning and prompt-engineering. Despite these advancements, the Text Accessibility and Text Simplification communities must address critical areas, including: designing better evaluation metrics, developing context-aware simplification solutions, creating appropriate language resources, deploying simplification in real-world environments, studying discourse factors, and identifying factors affecting readability. Addressing these issues requires collaboration across CL/NLP, machine learning, UI/UX, accessibility professionals, and public organizations, whom we invite to participate through publication and attendance. *Topics of Interest* The event will accept submissions at the intersection of the research areas of the two workshops, as well as submissions that are targeted to the specific research interests of either workshop. An indicative list of topics of interest are listed below. - Lexical, syntactic and discourse adaptations or simplifications; - ATS for sentences, paragraphs, or documents; - Controllable text simplification and text generation of adapted contents; - Measuring and evaluating readability and text complexity; - LLMs and agentic LLMs for text simplification, text adaptation and readability - The role of LLMs in supporting reading - Complex word identification (CWI) and lexical complexity prediction (LCP); - Models, corpora, lexicons for text adaptation and text assessment; - Evaluation of text adaptation or ATS systems; - Meaning representation and multimodal text adaptation; - Educational devices and/or smart technologies for supporting reading and learning; - Domain specific applications of the above topics (e.g. health, legal). *Important Dates (All deadlines AoE/UTC-12).* - Submission Deadline: 2nd March 2026 - Notification of Results: 16th March 2026 - Camera Ready: 30th March 2026 - READIxTSAR Workshop: 11th May 2026 *Submission Instructions* We invite submissions on topics of interest between 4 and 8 pages of content. The page limit of 8 pages does not include acknowledgements, references, potential Ethics Statements and discussion on Limitations in line with the policy of the main LREC conference. All submissions must follow the LREC stylesheet, available at https://lrec2026.info/authors-kit/. All submissions must be made via START (https://softconf.com/lrec2026/READIxTSAR/). All submissions are double-blind. Any submissions which are not-anonymised, over-length, poorly formatted, out-of-scope or make excessive use of appendices to circumvent page limits are liable to desk-rejection. At the time of submission, authors are offered the opportunity to share related language resources with the community. All repository entries are linked to the LRE Map, which provides metadata for the resource. *“Share your LRs!” Initiative* 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). As in previous editions for Camera Ready a Plain Summary will be requested. *Organisers* Matthew Shardlow, Manchester Metropolitan University, UK Thomas François, UCLouvain, Belgium Raquel Amaro, NOVA University Lisbon, Portugal Jorge Baptista, Universidade do Algarve & INESC-ID Lisboa, Portugal Rémi Cardon, Universidad Carlos III de Madrid, Spain Eugénio Ribeiro, Iscte-IUL & INESC-ID Lisboa, Portugal Regina Stodden, University Bielefeld, Germany Rodrigo Wilkens, University of Exeter, UK Horacio Saggion, Universitat Pompeu Fabra, Spain Amalia Todirascu, Université de Strasbourg, France *Programme Committee* Akio Hayakawa, Pompeu Fabra University Anna Dmitrieva, University of East Anglia Arne Jonsson, Linköping University Christina Niklaus, University of St.Gallen Daniele Schicchi, CNR-ITD David Kauchak, Pomona College Fernando Alva-Manchego, Cardiff University Giulia Venturi, Istituto di Linguistica Computazionale "Antonio Zampolli" Jaap Kamps, University of Amsterdam Jan Bakker, University of Amsterdam Jasper Degraeuwe, University of Ghent Kai North, Cambium Assessment Liana Ermakova, Université de Bretagne Occidentale Lourdes Moreno, Universidad Carlos III de Madrid Marcos Zampieri, George Mason University Martina Miliani, Università di Pisa Matthew Shardlow, Manchester Metropolitan University Michael Gille, Hamburg University of Applied Sciences Mounica Maddela, Bloomberg Natalia Grabar, CNRS, University of Lille Nouran Khallaf, University of Leeds Raquel Hervas, University Complutense of Madrid Regina Stodden, University of Bielefeld Rémi Cardon, Universidad Carlos III de Madrid Reno Kriz, Johns Hopkins Sandaru Seneviratne, The Australian National University Sowmya Vajjala, National Research Council, Canada Tadashi Nomoto, National Institute of Japanese Literature Tannon Kew, University of Zurich Thomas François, UCLouvain Tomoyuki Kajiwara, Ehime University Yannick Parmentier, LORIA Yingqiang Gao, University of Zurich Zihao LI, University of Manchester

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AI-Enabled Digital Accessibility Summer School 2026
by Constantin Orasan 23 Feb '26

23 Feb '26

AI-Enabled Digital Accessibility Summer School 2026 15-17 June 2026 | University of Surrey, UK https://www.surrey.ac.uk/centre-translation-studies/convergence-2026/summer… The inaugural ADA Summer School on AI-enabled Digital Accessibility will take place from 15 to 17 June 2026 at the University of Surrey, hosted by the Centre for Translation Studies with support from the ADA Leverhulme Trust Doctoral Scholarships Network. The summer school precedes the Convergence 2026 conference<https://www.surrey.ac.uk/centre-translation-studies/convergence-2026>: Human-AI Integration for Multilingual and Accessible Communication. About the Summer School AI-enabled Digital Accessibility (ADA) is an exciting field that brings together expertise from artificial intelligence, computer science, translation studies, accessible communication, cognitive and social sciences, and inclusive design. ADA explores how advances in AI can work alongside human expertise to improve digital media access for a wide range of users. The specific focus of ADA is on enhancing accessible communication and creating high-quality accessible content at scale. Current ADA projects focus on the use of AI in accessibility practices such as subtitling, captioning and audio description, as well as on approaches to improve cognitive access, text simplification and multilingual accessibility. This emerging field represents a paradigm shift from purely engineering-led, AI-driven methods towards an AI-enabled approach where user needs guide the development of responsible, nuanced solutions for accessible digital content. At ADA's core is the principle that only human-in-control approaches can effectively mitigate AI risks, such as bias, errors, and privacy concerns. ADA therefore aims to establish a new interdisciplinary research paradigm leading to truly responsible research designs and solutions. This intensive 2.5-day Summer School will equip participants with critical knowledge, research insights, and methodological skills essential to kickstart and/or refine cutting-edge research in this area. You'll explore interdisciplinary approaches based on the latest projects in this field and develop collaborative research skills that prioritise human-centred integration of AI technologies in digital accessible communication. Application process will open on the 15th Feb 2026. More details can be found at https://www.surrey.ac.uk/centre-translation-studies/convergence-2026/summer… --- Prof Constantin Orăsan Professor of Language and Translation Technologies Centre for Translation Studies<https://www.surrey.ac.uk/centre-translation-studies> Personal page: https://www.surrey.ac.uk/people/constantin-orasan Office: 06LC03, Phone: +44 (0) 1483 68 4115 Library and Learning Centre, University of Surrey, Guildford, Surrey, GU2 7XH, UK

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2nd CfA: Conference "How does artificial intelligence challenge our traditional understanding of legal reasoning?" August 27-28, 2026, University of St.Gallen
by reto.gubelmann＠uzh.ch 23 Feb '26

23 Feb '26

Dear Colleagues, I would like to draw your attention to a conference that I’m co-organizing. Please find the call for Abstracts below. For further inquiries, please contact the Organizing Committee at: conference-ile(a)unisg.ch . All best, Reto Gubelmann University of Zurich ********************************* CALL FOR ABSTRACTS How does artificial intelligence challenge our traditional understanding of legal reasoning? August 27-28, 2026, University of St. Gallen This international conference invites scholars, practitioners, and Natural Language Processing (NLP) researchers to explore how contemporary Language AI Systems—especially large language models (LLMs) and Deep Learning Methods—reshape fundamental assumptions and methods about legal method, interpretation, and decision-making. Legal practice often presents itself as value-laden, interpretive, and methodologically disciplined. Yet current Language AI predominantly operate through statistical pattern recognition and representation rather than propositional argument. This tension raises pressing questions: Does Language AI merely automate inessential aspects of legal work, or does it reveal that legal reasoning itself has long contained implicit statistical or probabilistic elements? Do machine-generated legal outputs expose hidden (ir)regularities in judicial and administrative practice? And how should legal theory respond when computational systems appear to “mimic” legal judgment without en-gaging, for all we know, in human-like, propositional reasoning? We especially welcome contributions addressing, but not limited to, the following themes: • Statistical Aspects in Legal Reasoning: What role do probabilistic or statistical considerations already play—implicitly or explicitly—in legal interpretation and decision-making? • AI and the Transformation of Legal Method: Does the rise of generative Language AI undermine traditional conceptions of doctrinal reasoning, hermeneutics, or precedent? • Values, Normativity, and Language: How do values enter legal language, and can AI systems meaningfully represent or operationalize normative commitments? • AI as Mirror or Distortion of Legal Practice: Does AI reveal the latent patterns of legal discourse, contributing to a more objective practice, or does it impose new biases and structures that distort legal meaning? • Epistemic, Democratic, and Ethical Implications: What does the integration of (currently largely private and often closed-sourced) AI into legal institutions (public administration or courts) imply for legitimacy, transparency, and the rule of law? We invite submissions from law, philosophy, NLP, (computational) linguistics, computer science, statistics and related fields. Both theoretical and empirical contributions are welcome. Confirmed Keynote Speakers • Prof. Dr. Christoph Engel, Max Planck Institute, Bonn • Dr. Joel Niklaus, Machine Learning Engineer, Hugging Face Submission Guidelines: Abstract • Scope: 300–500 words • Submission deadline: February 28, 2026, to conference-ile(a)unisg.ch • Form: Anonymized PDF. Please indicate your name, affiliation and contact information in the body of your email • Notification of acceptance: April 2, 2026 Paper and presentation • Paper scope: 3,000 words • Submission deadline: August 14, 2025 • Presentations of 15 minutes, followed by 30 minutes discussion, online presentations are possible Scientific and Organizing Committee • Désirée Klingler, University of St. Gallen • Peter Hongler, University of St. Gallen • Reto Gubelmann, University of Zurich

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Call for Papers - StyGenAI: Workshop on Style in GenAI Translated Content in conjunction with EAMT 2026
by resenden＠tcd.ie 23 Feb '26

23 Feb '26

StyGenAI: Workshop on Style in GenAI Translated Content We are excited to announce the StyGenAI workshop, which will take place in conjunction with EAMT 2026 (European Association for Machine Translation) from 15–18 June 2026 at the Schaumburg Concertzaal in Tilburg, the Netherlands. The workshop will be part of a vibrant international conference bringing together researchers and practitioners at the forefront of machine translation and language technologies. More information about the main conference is available at https://eamt2026.org/ Workshop website: https://sites.google.com/view/workshopstygenai?usp=sharing About the workshop: The advent of Generative Artificial Intelligence has profoundly reshaped the landscape of translation. Moving beyond traditional machine translation paradigms, large language models (LLMs) now operate as translation agents capable of producing linguistically fluent and stylistically complex texts. As a result, translation is no longer only a matter of accuracy or adequacy, but increasingly one of style. As LLMs are adopted for translation tasks, their outputs reveal distinctive linguistic and stylistic patterns. These patterns differ in subtle but consequential ways from those found in both human translation and conventional MT systems. While such differences are often perceived intuitively by readers and practitioners, they remain underexplored from a systematic, research-driven perspective. This evolving scenario raises a set of pressing questions: What are the stylistic features of GenAI-produced translations? How do they differ from those generated by traditional MT systems? And how do they compare to human translations across genres, languages, and contexts? StyGenAI is the first workshop dedicated specifically to the study of style in GenAI-translated content. The workshop aims to bring together researchers interested in AI translation stylistics, including recurrent stylistic patterns, departures from human translation style, and the linguistic, technical, and contextual factors that modulate AI-generated output. Particular attention is given to the role of text genre, language pair, and prompt design or prompting strategies in shaping the stylistic profile of GenAI translations. The workshop provides a forum for interdisciplinary dialogue at the intersection of translation studies, computational linguistics, stylistics, and AI evaluation. Contributions are welcomed from both empirical and conceptual perspectives, as well as from research that bridges academic inquiry and professional practice.The workshop welcomes empirical, methodological, and conceptual contributions from translation studies, computational linguistics, stylistics, and related fields. We invite submissions addressing, but not limited to, the following topics: Stylistic fingerprints of LLM-based translation in comparison with conventional MT systems and professional human translation The influence of prompting strategies (for example, role prompting, constraints, zero-shot, one-shot, and few-shot approaches) on stylistic outcomes Cross-genre analyses of AI translation style in literary, academic, journalistic, technical, and social media texts Authorial voice and style preservation across languages in GenAI-mediated translation Language-specific manifestations of machine-like or synthetic stylistic patterns Methodologies for evaluating stylistic adequacy and stylistic variation in AI-generated translations Cognitive effort and decision-making in post-editing LLM output for stylistic quality as opposed to content accuracy Cultural, pragmatic, or discourse-level mismatches introduced by AI translation choices The handling of irony, humour, voice, and other stylistically marked devices in GenAI translation Human–AI hybrid workflows for style-sensitive translation tasks Pedagogical approaches to training translators to identify, assess, and correct AI-generated stylistic patterns Diachronic or longitudinal analyses of stylistic change as LLMs and prompting practices evolve Submission Information The workshop invites research papers reporting original work. Papers should be 4–10 pages in length, excluding references. Accepted papers will be published in the workshop proceedings and made available online via the ACL Anthology. Submissions must follow the EAMT 2026 formatting guidelines and templates and be submitted via the EasyChair system. Important Dates Workshop paper submission deadline: 27 April 2026 Notification of acceptance: 12 May 2026 Camera-ready papers due: 20 May 2026

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PhD Position in project "Relating Probabilities of Words to Probabilities of Worlds" at University of Bamberg
by Sean Papay 23 Feb '26

23 Feb '26

Dear all, A reminder about our open position: We are looking to hire a PhD student for a term of three years at the Chair for Fundamentals of Natural Language Processing (https://www.uni-bamberg.de/en/nlproc/) at the University of Bamberg in Germany, starting either May 1 2026 or as soon as possible thereafter. The position will be for 100% time, according to the TV-L 13 payscale (see https://oeffentlicher-dienst.info/tv-l/allg/). The application deadline is *February 28.* The position will be part of the project "Relating Probabilities of Words to Probabilities of Worlds (PoWPoW)", to be funded by the German Research Foundation (DFG) as part of the Priority Programme LaSTing (https://www.lasting-spp.org/). The project’s goal is to investigate how LLMs represent and reason about probabilistic world knowledge. Within this scope, the project will explore methods for eliciting probability judgments from LLMs, test how well such judgments agree with empirical probabilities, investigate the internal consistency of related probability judgments, and compare LLMs’ probabilistic reasoning to that of humans. The full details can be found here: https://www.uni-bamberg.de/fileadmin/abt-personal/Homepage_ab_2016-03/10_St… Applicants should have: * M.Sc. or comparable degree in Computer Science, Computational Linguistics, or a related area. * Experience working with NLP methods and LLMs. * Strong grasp of probability theory – experience with graphical models or formal logic a bonus. * Good knowledge and practical experience with deep learning. * Very good command of English; German knowledge is not essential. * Ability to work in a team, excellent communication skills, enthusiasm, and intrinsic motivation. If you would like to apply, please send your application to Sean Papay <sean.papay(a)uni-bamberg.de>. Your application should be a single .pdf file, comprising a brief motivation letter, your CV, the contact details of two references, and an academic writing sample -- for example, your Master's Thesis or an academic paper previously written by you. Please send your application by *February 28*. Best regards, --Sean Papay

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NEW CALL FOR PAPERS | Oral Archives Journal | 3 - 2027
by Dario Del Fante 23 Feb '26

23 Feb '26

Please forward as appropriate. *NEW CALL FOR PAPERS | Oral Archives Journal | 3 - 2027* *From Production to Use and Reuse* <https://journals.fupress.net/call-for-paper/from-production-to-use-and-reus…> The open access, peer-reviewed Oral Archives Journal (OAr), <https://riviste.fupress.net/index.php/oarj/about> published by Firenze University Press and USiena Press, is dedicated to all aspects of oral archives – from their creation to their dissemination and reuse– and aims to foster collaboration and exchange among scholars, researchers, and cultural institutions dealing with oral sources. The journal collaborates with CLARIN-IT and is connected to the K-OAr Centre. The call for papers for the next issue is currently open - link <https://riviste.fupress.net/index.php/oarj/index>. -- *Dario Del Fante, PhD* Junior Assistant Professor (Rtd-A) English Language and Linguistics *Humanities Department - University of Ferrara* Via Paradiso 12 - 44121 Ferrara E-mail: dario.delfante(a)unife.it Recent Publications Del Fante, D. (2024). *Migrating across times and cultures. Metaphorical images of migration in the U.S. and Italian newspaper discourse between the 20th and 21st century.* Peter Lang Verlag. https://doi.org/10.3726/b21857 Del Fante, D. (2025a). Positive perspectives on migration discourse in Italy between 1900 and 1915. In C. Taylor (Ed.), *The Discursive constructions of Migrant Identities* (pp. 85–112). Bloomsbury Academic. 10.5040/9781350442900.0010 <https://doi.org/10.5040/9781350442900.0010> Del Fante, D. (2025b). The Self-representation of Refugees through Pronominal Choice. A Case-study on Migration Counter-discourse in a Collection of Narratives on Refugees by Refugees. *The Cerlis Journal: Studies on Specialised Languages and Discourse Analysis*, *1*(1), 41–82. Del Fante, D., & Federici, E. (2025). Open to Meraviglia? Can Automated Translation Change Tourism Promotional Campaigns? *International Journal of English Linguistics*, *15*(4), Article 4. https://doi.org/10.5539/ijel.v15n4p89 Del Fante, D., & Iori, I. (2025). Translating Metaphors at Table: Figurative Language and Food in Emilia-Romagna Tourism Discourse. *International Journal of Linguistics*, *17*(5), Article 5. https://doi.org/10.5296/ijl.v17i5.22887 Parnell, T., Van Hout, T., & Del Fante, D. (2025). *Critical Approaches to Polycrisis: Discourses of conflict, migration, risk*. PALGRAVE MACMILLAN.

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Post Doc positions (24 months) in digital linguistics / NLP at TurkuNLP
by Veronika Laippala 23 Feb '26

23 Feb '26

Dear all, The TurkuNLP research group at the University of Turku, Finland, invites applications for 2–4 fixed-term postdoctoral researcher positions in Digital Linguistics and/or Natural Language Processing (NLP). Employment begins in March–April 2026 at the earliest (or as agreed) and continues for 24 months or until the end of May 2028. The positions are part of several research projects targeting web language use and massively multilingual web-crawled data. All projects are funded by the Research Council of Finland, including the newly selected Centre of Excellence Human Diversity through Contacts. The research topics include, but are not limited to: - Modeling and linguistically analyzing language use across varieties such as registers (genres) in massively multilingual web-scale data, using multilingual deep learning methods, LLMs, and corpus-linguistic statistical approaches - Developing NLP methods for advanced semantic analysis and labeling of multilingual web data - Theoretical and methodological advances for web language use and web-as-corpus research The closing date for applications is February 26, 2026 at 16:00 (Europe/Helsinki). For more information, please contact me or visit https://ats.talentadore.com/apply/tutkijatohtorin-maaraaikaisia-tehtavia-di… and https://sites.utu.fi/humandiversity/news/positions-open-in-human-diversity-…. Best regards, Veronika Laippala

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CLEF-2026 CheckThat! Lab -- 2nd Call for Participation
by Julia Maria Struß 23 Feb '26

23 Feb '26

(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 evidence, 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>(training materials released) Discord Server: https://discord.gg/PEMh4a2YHV <https://discord.gg/PEMh4a2YHV> Important Dates --------------------- - November 2025: Lab registration opened - December 2025: sample materials released - December - February 2026: training materials released - 23 April 2026: Lab registration closes - 24 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] - 29 May – 27 June 2026: Review process of participant papers - 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 Conference Registration Ends - 31 August 2026: Late Conference 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 Kiepenheuerallee 5 14469 Potsdam Telefon: +49 331 580 4532 Zoom:https://fh-potsdam.zoom-x.de/my/juliamstruss

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AILC Lectures on Computational Linguistics, 15-17 June 2026
by Bernardi Raffaella 23 Feb '26

23 Feb '26

Dear all, We are pleased to announce that the 2026 edition of the Lectures on Computational Linguistics, a series of lectures dedicated to central topics in the field of Computational Linguistics and Natural Language Processing, will be held in Bolzano from 15 to 17 June. The 2026 edition is organized by the Italian Association of Computational Linguistics/Associazione Italiana di Linguistica Computazionale (AILC) together with The Free University of Bozen-Bolzano (Faculty of Engineering and Faculty of Education) and EURAC Research Center. It focuses on Natural Language Processing for the Society, covering topics from Low Resources Languages, Speech and Text, Embodied AI, Interpretability and Small Language Models for education in schools. Featuring frontal classes, evening lectures and hands-on labs, it provides both a high-level overview of the field as well as an introduction to specific topics, and practical experiences. SPEAKERS Tutorials: Barbara Plank (LMU Munich) Oliver Lemon (Edinburgh Center for Robotic) Barbara Schuppler (TU Graz) Evening Lectures: Julia Hockenmaier (University of Illinois) Aurelie Herbelot (Denotation UG) Labs: Loredana Schettino and Alessandro Vietti (Faculty of Education, UNIBZ) Leonardo Bertolazzi (University of Trento) Egon Stemle and Luca Ducceschi (EURAC Research Center) The detailed programme is available on the Lectures website<https://www.ai-lc.it/lectures/lectures-2026/> Student Presentations Students wishing to present aspects of their work in the "Student Presentations" sessions are asked to send a 500-word abstract to ailc.lectures(a)gmail.com<mailto:ailc.lectures@gmail.com> by May 16, 2026. Notifications of acceptance will be sent by May 23, 2026. Registration The school is mainly aimed at Doctoral and Master's degree students, although a minimum qualification is not required for access. Participation is free but subject to registration and association with AILC, and places are limited to 150. The registration link will be open soon and will close on May 27, or when the maximum number of participants is reached. Accommodation: Information and suggestions will be published on the website soon. We recommend booking your accommodation well in advance to avoid higher prices. Scientific Committee Pierpaolo Basile, University of Studi di Bari Aldo Moro Raffaella Bernardi, Free University of Bozen-Bolzano Tommaso Caselli, University of Groningen Elisabetta Fersini, University of Milano-Bicocca Elisabetta Jezek, University of Pavia Local Organizing Committee Raffaella Bernardi, Faculty of Engineering, Free University of Bozen-Bolzano Alessandro Vietti, Faculty of Education, Free University of Bozen-Bolzano Luca Ducceschi, EURAC Research Center Contacts: ailc.lectures(a)gmail.com<mailto:ailc.lectures@gmail.com> ======================================================================= Room B1.5.01 Faculty of Engineering Free University of Bozen Bolzano NOI Techpark - B. Buozzi 1, 39100 Bozen Bolzano, Italy

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