Several Contributions accepted at NoDaLiDa and LLMs for HPSS

We are happy to announce that several contributions by members of our department have been accepted at NoDaLiDa and LLMs for HPSS. Congratulations to all authors!

• “Predictability of Microsyntactic Units across Slavic Languages: A translation-based Study” by Maria Kunilovskaya, Iuliia Zaitova, Wei Xue, Irina Stenger and Tania Avgustinova (NoDaLiDa, Paper).
• “Diachronic Analysis of Phrasal Verbs in English Scientific Writing” by Diego Alves (NoDaLiDa, Paper).
• “Towards Interpretable Models: Bridging Traditional and Deep Learning Methods for Tracing Linguistic Change in English Scientific Writing” by Sofia Aguilar and Stefania Degaetano-Ortlieb (LLMs for HPSS, Abstract).
• “Leveraging Large Language Models for Metadata Enrichment and Diachronic Analysis of Chemical Knowledge in Historical Scientific Texts” by Diego Alves, Sergei Bagdasarov and Badr M. Abdullah (LLMs for HPSS, Absctract).