SOTAVerified

Ancient Text Restoration

Papers

Showing 1–6 of 6 papers

TitleStatusHype
Restoring and attributing ancient texts using deep neural networksCode2
Blank Language ModelsCode1
A-TIP: Attribute-aware Text Infilling via Pre-trained Language Model—0
Towards Probabilistically-Sound Beam Search with Masked Language ModelsCode0
Restoring Ancient Ideograph: A Multimodal Multitask Neural Network ApproachCode0
Restoring ancient text using deep learning: a case study on Greek epigraphyCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Ancient historianCER (%)59.6—Unverified
2PythiaCER (%)47—Unverified
3IthacaCER (%)26.3—Unverified
4OnomasticsRegion (Top 1 (%))21.2—Unverified
5Ancient historian and IthacaCER (%)18.3—Unverified