Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks

4 March 2020

Papers citing "Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks"

5 / 5 papers shown

Title
Restoring ancient text using deep learning: a case study on Greek epigraphy Yannis Assael Thea Sommerschield J. Prag 92 63 0 14 Oct 2019
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning G. Marra Andrea Zugarini S. Melacci Marco Maggini SSL 39 14 0 19 Jul 2019
Effective Character-augmented Word Embedding for Machine Reading Comprehension Zhuosheng Zhang Yafang Huang Peng Fei Zhu Hai Zhao RALM 54 17 0 07 Aug 2018
Character-Aware Neural Language Models Yoon Kim Yacine Jernite David Sontag Alexander M. Rush 113 1,670 0 26 Aug 2015
Statistical analysis of the Indus script using $n$ -grams N. Yadav H. Joglekar Rajesh P. N. Rao M. Vahia I. Mahadevan Ronojoy Adhikari 70 46 0 20 Jan 2009