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<div rehype-wrapper="true"><span></span><p>„Tájnyelvi barangolások” címmel interaktív kiállítás nyílik az MTA Székházában, a Kisterem és a Nagyterem közötti közlekedőben, amely november 14. és 30. között látogatható. A kiállításhoz kapcsolódó konferenciára 2025. november 24-én kerül sor.</p><p>További részletek az MTA honlapján olvashatók: <a href="https://mta.hu/magyar-tudomanyossag-kulfoldon/tajnyelvi-barangolasok-114843" target="_blank" rel="noreferrer noopener">https://mta.hu/magyar-tudomanyossag-kulfoldon/tajnyelvi-barangolasok-114843</a></p></div>

Vargha Fruzsina Sára

Tájnyelvi barangolások

<div rehype-wrapper="true"><span></span><p>The Hungarian Research Centre for Linguistics (HUN-REN) invites submissions to the <strong>1st International Workshop on Language and Language Models.</strong> This workshop is designed as a dedicated forum for scholars and practitioners in the social sciences and humanities (SSH) to discuss and evaluate large language models (LLMs) from an SSH perspective, and to share best practices that can advance research and applications within these fields.</p><p>Relevant topics include, but are not limited to, the following areas:<strong>General language models:</strong> Critical and comparative analyses of state-of-the-art language models, including their linguistic competence, performance, and limitations.</p><p><strong>Cultural and linguistic perspectives:</strong> Investigations into the cultural, cognitive, and scientific aspects of language processing, including the unexplored territories of model behavior and linguistic capability.</p><p><strong>Applications and best practices:</strong> Case studies and best practices in applying AI to language research, highlighting the potential for cross-disciplinary innovation within the social sciences and humanities (SSH).</p><p><strong>Bridging disciplines</strong>: Contributions that examine the role of language models in reshaping traditional SSH methodologies, and proposals on integrating AI insights into linguistic inquiry.</p><h4>Important Dates</h4><ul><li><strong>30 June 2025: </strong>Submission deadline</li><li><strong>15 September 2025:</strong> Notification of acceptance</li><li><strong>20 November – 21 November 2025:</strong> Workshop in Budapest</li><li><strong>15 January 2026:</strong> Full paper submission deadline</li></ul><h4>Submissions</h4><p>We expect submissions in the form of <strong>extended abstracts</strong> (length: 3 to 4 pages including references) in PDF format, in accordance with the template (<a href="https://www.overleaf.com/6489718163fnbnyykdqqgw#681093j" target="_blank" rel="noreferrer noopener">https://www.overleaf.com/6489718163fnbnyykdqqgw#681093j</a>). Please ensure your submission clearly outlines your research question, methodology, and preliminary findings.</p><p>Extended abstracts must be submitted through the <a href="https://easychair.org/conferences?conf=wolala2025" target="_blank" rel="noreferrer noopener">EasyChair submission system</a> and will be reviewed by the Programme Committee. All proposals will be reviewed on the basis of the following criteria:</p><ul><li>Appropriateness: The contribution must pertain to the topics listed above</li><li>Soundness and correctness: The content must be technically and factually correct and methods must be scientifically sound, according to best practice, and preferably evaluated.</li><li>Meaningful comparison: The abstract must indicate that the author is aware of alternative approaches, if any, and highlight relevant differences.</li><li>Substance: Concrete work and experiences will be given preference over ideas and plans.</li><li>Impact: Contributions with a higher impact on the research community and society more broadly will be given preference over papers with lower impact.</li><li>Clarity: The abstract should be clearly written and well structured.</li><li>Timeliness and novelty: The work must convey relevant new knowledge to the audience at this event.</li></ul><h4>Proceedings</h4><p>Selected papers will be published in <a href="https://akjournals.com/view/journals/2062/2062-overview.xml" target="_blank" rel="noreferrer noopener">Acta Linguistica Academica</a>. After acceptance notifications, the author(s) of accepted submissions will be invited to submit full papers (10-12 pages) to be reviewed according to the same criteria as the abstracts.</p><h4>Provisional Programme Committee</h4><p>The Programme Committee for the conference consists of the following members:</p><ul><li><strong>Gábor Prószéky, HUN-REN Hungarian Research Centre for Linguistics &#x26; Pázmány Péter Catholic University (chair)</strong></li><li>António Branco, University of Lisbon, Portugal</li><li>Eva Hajičová, Charles University Prague, Czech Republic</li><li>Csaba Pléh, Central European University, Austria</li><li>Paul Rayson, Lancaster University, United Kingdom</li><li>Frédérique Segond, National Institute for Research in Digital Science and Technology, France</li><li>Marko Tadić, University of Zagreb, Croatia</li><li>Dan Tufiș, Romanian Academy, Romania</li><li>Hans Uszkoreit, German Research Center for Artificial Intelligence, Germany</li><li>Tamás Váradi, HUN-REN Hungarian Research Centre for Linguistics, Hungary</li><li>Martin Wynne, University of Oxford, United Kingdom</li></ul><buttons data-buttons="buttons" data-justification="center" data-orientation="horizontal" data-nytud="true"><button style="width:50%;border-radius:4px;background-color:#276198;color:#ffffff" data-button="button" data-nytud="true"><a href="https://wolala.nytud.hu/home/" target="_blank" rel="noreferrer noopener">WoLaLa 2025 website</a></button></buttons><p class="empty-paragraph"></p></div>

1st International Workshop on Language and Language Models

<div rehype-wrapper="true"><span></span><p>Large Language Models (LLMs) have achieved remarkable fluency, generating text that often feels indistinguishable from human writing. Yet beneath this surface competence lies a profound question: do these systems truly capture meaning? This talk explores the conceptual and cognitive limits of current LLMs, focusing on the distinction between statistical prediction and semantic representation. In particular, I will ask why pattern recognition alone cannot yield genuine semantic understanding.</p></div>

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