Tag
该研究利用RoBERTa掩码语言建模，在科幻与一般小说语料库中对man/woman/person进行掩码替换分析，发现两个语料库都存在跨性别二元的替换，但科幻展现出更强的性别可渗透性与去性别化倾向，为计算文学研究提供了可迁移的分析管线。
Show HN: Museum of Ages — a guided 3D digital museum of Leonardo da Vinci, built entirely in code, letting visitors walk through interactive exhibits of his life and work.
A software engineer used AI agents to search 400 years of digitized historical archives, uncovering a forgotten meteorite report, lost rhinoceros shipments, and unrecorded volcanic eruptions. Inspired by historian Benjamin Breen's AI-assisted dodo discovery, the project chains multiple AI models to filter and verify findings against original documents.
Dan Cohen recounts the five-year, collaboration-heavy origin story of Zotero on its 20th anniversary, arguing that slow, communal software formation produces durable tools in contrast to today's instant AI-generated code.
The author demonstrates how frontier models like Opus 5.5 can be used for historical research, using embedding-based semantic search over the GLOBALISE Dutch East India Company archive to surface a previously unnoticed 1615 Dutch eyewitness account of hunting dodos, alongside Carter Church's use of GPT-6 Astra to crack a Napoleonic-era cipher.
Researchers used simulated annealing to crack a 1542 papal cipher, revealing encrypted content in a letter from Cardinal Farnese to Bishop Poggio about peace negotiations.
This study audits CLIP models for gender bias in Metropolitan Museum artwork metadata, finding no statistically significant bias but emphasizing the need for multivariate confound control in AI fairness assessments.
The article features an interactive world map that visualizes the diverse stories and narratives from cultures around the globe, promoting cultural exploration through digital technology.
AI Historian is an AI agent system that helps historians organize and verify person-centred temporal clues from dispersed historical narratives, reducing the cost of historical research while achieving high accuracy in temporal localization.
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.
Ancient Library is an online reader offering 1,060 Greek and Latin classics where clicking any word displays its lemma, morphology, and full dictionary entries.
Daniel van Strien uploaded a dataset of 1,080,814 public domain images from 49,455 digitised books (c.1510–1900) from the British Library to Hugging Face Hub, organised into four configs by image type.
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 compares human linguists in training, a trained linguist, and LLMs on annotating evaluative language using Appraisal theory, finding that LLMs achieve strong performance and can assist in complex annotation tasks.
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.
The paper introduces TimeCapsule, a 1.2B-parameter LLM trained exclusively on Victorian texts (1800-1875) to generate historically plausible analogies for modern concepts, achieving a 45.4% perplexity reduction over GPT-2 on Victorian prose while exhibiting computational sensemaking through structured ignorance of the future.
This paper explores machine learning approaches, including encoder-based models and fine-tuned LLMs, for automatic thematic indexing of large literary corpora, using Voltaire's complete works as a test case. The best model achieves F1 scores up to 0.67, with implications for structured access to large-scale literary and historical editions.
This paper introduces neural approaches for reversing character-set simplification and abbreviation in medieval text, using one-to-one and banded RNNs trained with self-supervision or parallel corpora, and presents a Python library for letter lemmatization.
This paper presents the HIPE-OCRepair-2026 competition at ICDAR 2026, evaluating LLM-assisted OCR post-correction for historical documents in English, French, and German. Results show that modern LLM systems significantly improve OCR quality, but overcorrection on low-noise inputs remains a challenge.
Presents an open, offline word-level digital reader of the Prasthānatrayī with Śaṅkara's Bhāṣya, featuring clickable word analysis, concordance, and a hybrid pipeline using rule-based and LLM-assisted methods.