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This paper investigates whether automatic evaluation metrics for machine translation are reliable for Classical Chinese to English translation, using a diagnostic framework based on minimal pairs. It finds all metrics have blind spots, with MetricX24 performing best overall.
This paper presents a computational framework for automatically compiling collected commentaries on classical Chinese texts, preserving contextual dependencies of inline notes via prompt chaining and cross-source clustering.
This paper recasts fine-grained intertextuality extraction in Classical Chinese histories as an agentic LLM task, grounding reuse in exact character spans and a five-dimension typology, validated by expert-adjudicated benchmarks and scaled to the Twenty-Four Histories.
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.