The 1st International Workshop on Terminological Neologism Management (NeoTerm 2025) marked a significant step forward in the study and practice of lexical innovation. Held on June 18, 2025, in Thessaloniki, Greece, and co-located with the MDTT 2025 – Multilingual Digital Terminology Today conference, the event was organized by the COST Action ENEOLI (CA22126) and brought together a vibrant community of scholars and professionals.

With around 40 participants from across Europe, NeoTerm 2025 provided a unique forum for interdisciplinary dialogue on the identification, analysis, and integration of neologisms into language and terminology resources.

NeoTerm 2025 aimed to address both theoretical and applied aspects of terminological neology, with an emphasis on digital, multilingual, and data-driven approaches. Key topics included:

• (Semi-)automatic extraction of neologisms from digital sources (e.g., social media, academic corpora)
• Integration of new terms into terminological databases
• Use of Linked Open Data (LLOD) and ISO standards
• Applications of Artificial Intelligence (AI) and Large Language Models (LLMs)
• Conceptual foundations and models for understanding neology

The workshop featured seven peer-reviewed presentations organized in three thematic sessions, along with an invited keynote by:

Silvia Piccini (CNR-ILC, Pisa, Italy):
“And Yet It Moves”: The Formal Modeling of Lexical Innovation in Saussure’s Terminology
In her keynote, Piccini explored terminological creativity through the lens of Saussure’s manuscripts, offering a theoretical and technological framework to model lexical innovation using Semantic Web technologies. Her talk highlighted how specialized vocabulary evolves alongside conceptual shifts in scientific thinking.

The workshop showcased a range of methodological and disciplinary perspectives. The following papers were presented:

• Malamatenia Panagiotou, Konstantinos Gkatzionis, Efstathios Kaloudis (University of the Aegean, Greece)
  👉 Food Neologisms and Word Formation Trends Identified on Social Media Posts using LLMs for Hashtag Collection
  A study of food-related neologisms emerging from Instagram content, with a focus on traditional cuisine from the North Aegean. The authors used generative AI to extract hashtags and identify trends in word formation and user sentiment, enriching lexicographic and cultural insights.
• Nina Hosseini-Kivanani (University of Luxembourg)
  👉 Neologism Validation with Large Language Models and Lexical Graphs
  This work proposes a hybrid model combining LLM-based semantic similarity with graph-based contextual validation using resources like WordNet and Wikipedia. The study demonstrates improved precision and recall compared to frequency- and rule-based approaches.
• Rossella Resi (University of Innsbruck, Austria)
  👉 Representing Terminological Chains for Well-Formed Neologisms
  The author introduces the concept of “terminological chains”—sequences of related terms in specialized discourse—and argues for their structured representation in terminological databases to support multilingual consistency and prevent misclassification.
• Martina Pavić (Institute for the Croatian Language, Croatia)
  👉 Prevalence of Croatian Muscle Terms in University Textbooks
  This contribution analyzes the use of Croatian equivalents for Latin anatomical terms in university textbooks, contributing to the national effort for standardizing medical terminology and raising questions on linguistic innovation in biomedical education.
• Michaela Hroteková (Comenius University in Bratislava, Slovakia)
  👉 Exploring and Reevaluating Neologization Processes in the Online Spaces
  A creative exploration of neologisms in digital communication, analyzing emojis, voice messages, and AI-generated text. The study challenges traditional neologism typologies and highlights phenomena like respelling, substitution, and sound-based play.
• Jurgita Mikelionienė (Kaunas University of Technology, Lithuania)
  👉 Neonyms in the Database of Lithuanian Neologisms: Probability and Reality
  An assessment of Lithuania’s national neologism database, focusing on general neologisms and neonyms—deliberately coined technical terms. The paper reveals a predominance of native and hybrid forms and underscores the database’s potential despite some technical limitations.
• Giorgio Di Nunzio (University of Padua, Italy)
  👉 Benchmarking Automatic Tools for Neologism Extraction: Issues and Challenges
  This paper discusses the challenges of evaluating neologism extraction tools, such as definition ambiguity, dataset representativeness, and annotation consistency. It advocates for robust benchmarking protocols and shared evaluation criteria.

All contributions were subject to double-blind peer review and published in open access via CEUR Workshop Proceedings, in full alignment with the values of Open Science.

🔗 Proceedings are available here: https://ceur-ws.org/Vol-3972/ 

NeoTerm 2025 not only highlighted the richness and complexity of neological research today but also demonstrated the growing collaborative potential of the ENEOLI network. The workshop’s success confirms the need for continued dialogue and innovation at the intersection of terminology, linguistics, and technology.