Restoring ancient text using deep learning: a case study on Greek epigraphy

14 October 2019

Papers citing "Restoring ancient text using deep learning: a case study on Greek epigraphy"

7 / 7 papers shown

Title
Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in Epigraphy Andrei C. Aioanei R. Hunziker-Rodewald Konstantin Klein Dominik L. Michels 33 2 0 11 Oct 2023
DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning Edward C. Williams Grace Su Sandra R. Schloen Miller C. Prosser Susanne Paulus S.Rohith Krishnan 29 3 0 02 Jun 2023
Logion: Machine Learning for Greek Philology Charlie Cowen-Breen Creston Brooks J. Haubold B. Graziosi 27 4 0 01 May 2023
AGTGAN: Unpaired Image Translation for Photographic Ancient Character Generation Hongxiang Huang Daihui Yang Gang Dai Zhen Han Yuyi Wang K. Lam Fan Yang Shuangping Huang Yong-ge Liu Mengchao He GAN 19 18 0 13 Mar 2023
InCoder: A Generative Model for Code Infilling and Synthesis Daniel Fried Armen Aghajanyan Jessy Lin Sida I. Wang Eric Wallace Freda Shi Ruiqi Zhong Wen-tau Yih Luke Zettlemoyer M. Lewis SyDa 41 629 0 12 Apr 2022
Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach Koren Lazar Benny Saret Asaf Yehudai W. Horowitz N. Wasserman Gabriel Stanovsky 41 23 0 09 Sep 2021
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015