September 21, 2020 article Ralegh Radford Rome Awards: Restoring ancient text using machine learning: a case-study on Greek and Latin epigraphy Papers of the British School at Rome DOI: 10.1017/s0068246220000240 OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Information Extraction and Machine Learning for Archaeological Texts 2023 Quantitative archaeology and archaeological modelling book-chapter Social Sciences Computational and Text Analysis Methods Open access 1 citations 1 result References 0