Hosted by ENEOLI WG 2, Hiwa Asadpour from Johann Wolfgang Goethe-Universität Frankfurt am Main, Germany, will present two interesting talks. On Wednesday, February 26th, he will speak about Designing Effective Repositories for Neological Data. On Wednesday, March 12th, he will present Software Development for Neology Tracking. Both talks will begin at 17h CET on Zoom links provided in the posters below. You can read more about the talks in the abstracts provided below. Warmly welcome to attend and spread the news in your circles!

Designing Effective Repositories for Neological Data

Effective repository design is essential to manage and disseminate neological data in a way that balances quality, inclusivity and accessibility. In this presentation, I will analyze the needs of stakeholders involved in the collection, analysis and use of neological data, drawing insights from responses to the ENEOLI survey. Institutional repositories are trusted for their rigor but often fall short when it comes to serving minority languages or niche domains. I will examine three proposed repository models: Hybrid, Linked Linguistic Open Data (LOD)-based, and AI-enabled platforms, each with unique advantages and trade-offs. Examples include TermPortal’s efforts to promote indigenous alternatives in Icelandic terminology, and Observatorio Lázaro’s impact on the analysis of anglicisms in Spanish media discourse. I will also highlight the potential of LOD technologies to improve semantic connections between datasets and enable cross-domain research. Participants will leave with practical recommendations for designing repositories that keep pace with evolving linguistic trends and support collaborative innovation.

Software Development for Neology Tracking

As computational methods continue to revolutionize lexical innovation research, software developers play a critical role in creating tools that bridge theoretical frameworks with practical applications. This presentation examines the current state of software development for neology tracking, highlighting both successes and limitations identified by the ENEOLI survey. Developers report challenges ranging from inefficient multi-word term extraction to integrating Large Language Models (LLMs) while ensuring accuracy and ethical considerations. Using case studies such as Sketch Engine’s robust corpus query systems and BUSCANEO’s automatic recognition capabilities, I will discuss how hybrid models that combine manual oversight with automated processes can improve productivity and reliability. I will also emphasize the importance of user-friendly interfaces, flexible export options (e.g. CSV, JSON) and interoperability features to meet the diverse needs of stakeholders. This session invites feedback and collaboration to refine future developments in neology tracking tools.