Ancient Text Restoration
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Benchmarks
I.PHI
Most implemented
Restoring and attributing ancient texts using deep neural networks
Restoring Ancient Ideograph: A Multimodal Multitask Neural Network Approach
Towards Probabilistically-Sound Beam Search with Masked Language Models
Blank Language Models
Restoring ancient text using deep learning: a case study on Greek epigraphy
Papers
Restoring Ancient Ideograph: A Multimodal Multitask Neural Network Approach
Cultural heritage serves as the enduring record of human thought and history. Despite significant efforts dedicated to the preservation of cultural relics, many ancient artefacts have been ravaged irreversibly by natural…
Ancient Text RestorationMultimodal Deep LearningTowards Probabilistically-Sound Beam Search with Masked Language Models
Beam search with masked language models (MLMs) is challenging in part because joint probability distributions over sequences are not readily available, unlike for autoregressive models. However, estimating such distribut…
Ancient Text RestorationText InfillingA-TIP: Attribute-aware Text Infilling via Pre-trained Language Model
Text infilling aims to restore incomplete texts by filling in blanks, which has attracted more attention recently because of its wide application in ancient text restoration and text rewriting. However, attribute- aware …
Ancient Text RestorationAttributeLanguage ModelingLanguage Modelling+1Restoring and attributing ancient texts using deep neural networks
Ancient history relies on disciplines such as epigraphy—the study of inscribed texts known as inscriptions—for evidence of the thought, language, society and history of past civilizations1. However, over the centuries, m…
Ancient Text RestorationAttributeBlank Language Models
We propose Blank Language Model (BLM), a model that generates sequences by dynamically creating and filling in blanks. The blanks control which part of the sequence to expand, making BLM ideal for a variety of text editi…
Ancient Text RestorationLanguage ModelingLanguage ModellingStyle TransferRestoring ancient text using deep learning: a case study on Greek epigraphy
Ancient history relies on disciplines such as epigraphy, the study of ancient inscribed texts, for evidence of the recorded past. However, these texts, "inscriptions", are often damaged over the centuries, and illegible …
Ancient Text Restoration