Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling
Approach

Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach

9 September 2021

Gabriel Stanovsky

Papers citing "Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach"

4 / 4 papers shown

Title
CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models Jonathan Bourne 54 4 0 30 Aug 2024
Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in Epigraphy Andrei C. Aioanei R. Hunziker-Rodewald Konstantin Klein Dominik L. Michels 25 2 0 11 Oct 2023
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 231 4,460 0 23 Jan 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016