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This paper situates large language models within the broader history of computational approaches to concept analysis in the history, philosophy, and sociology of science (HPSS), reviewing methodological challenges and LLM-based case studies for lexical semantic change detection. It covers corpus construction, operationalization, and evaluation across both pre-LLM and LLM-era workflows.
This paper presents Lepton, a fine-tuned BERT classifier that predicts whether a title in Classical Chinese wenji table-of-contents is a personal letter or a preface, leveraging 5,438 hand-labeled titles from late-Ming and early-Qing literati.
Introduces PaliBench, a multi-reference benchmark for Pali-to-English translation using independent translations from multiple scholars, and a reusable methodology for creating similar benchmarks for classical languages.