We evaluate four count-based and predictive distributional semantic models of Ancient
Greek against AGREE, a composite benchmark of human judgements, to assess their ability …

Computational methods have produced meaningful and usable results to study word
semantics, including semantic change. These methods, belonging to the field of Natural …

This paper discusses the organisation and findings of the SIGTYP 2024 Shared Task on
Word Embedding Evaluation for Ancient and Historical Languages. The shared task was …

The language we live by is in constant change, and the evolving process is manifested in
the ways we use it differently over time. With the growing availability of digitalized historical …

Large Language Models (LLMs) have made significant advancements across numerous
domains, but their capabilities in Chinese Classical Literature and Language Arts (CCLLA) …