Restoring ancient text using deep learning: a case study on Greek epigraphy · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1910.06262/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTRestoring ancient text using deep learning: a case study on Greek epigraphy — mentioned by mkw5053https://news.ycombinator.com/item?id=44948347urn:hackerpapers:mention:1910.06262:44948347Tue, 19 Aug 2025 04:48:39 GMT<p>Very cool! I was just going down a rabbit hole yesterday about the use of AI techniques (or lack of success) in deciphering still-forgotten languages. Unsupervised models have partially cracked Ugaritic and Linear B [0], and Pythia/Ithaca restore Greek inscriptions at scale [1], but Linear A or Proto-Elamite still stall because the corpora are too small and there is no bilingual ‘Rosetta Stone’. The most promising direction now seems to be hybrid pipelines that combine vision encoders to normalize glyphs with constrained decoders guided by phonotactic priors. [0]…</p><p><a href="https://hackerpaper.kaipfister.de/p/1910.06262/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CLRestoring ancient text using deep learning: a case study on Greek epigraphy — HN submissionhttps://news.ycombinator.com/item?id=21296261urn:hackerpapers:submission:1910.06262:21296261Sat, 19 Oct 2019 01:26:39 GMT<p>Restoring ancient text using deep learning: a case study on Greek epigraphy</p><p></p><p>69 points; 4 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/1910.06262/">Paper and source history</a>. A submission is not an endorsement.</p>cs.CL