---
title: "Who cites Restoration of Fragmentary Babylonian Texts…"
description: "13 papers of the Elamur Research library cite «Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/fetaya-2020-restoration-fragmentary-babylonian-texts-using/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Restoration of Fragmentary Babylonian Texts Using…](https://md.research.elamur.ai/free/en/papers/fetaya-2020-restoration-fragmentary-babylonian-texts-using/) / cited by

# Who cites «Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks»

13 papers of our library cite it (of the 140,884 whose bibliographies we read) · 4 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/fetaya-2020-restoration-fragmentary-babylonian-texts-using/)

1. [**Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach**Koren Lazar, Benny Saret, Asaf Yehudai, et al.*2021 · 30 citations*](https://md.research.elamur.ai/free/en/papers/lazar-2021-filling-gaps-ancient-akkadian-texts/)
2. [**MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew Manuscripts**Avi Shmidman, Ometz Shmidman, Hillel Gershuni, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-msbert-new-model-reconstruction-lacunae/)
3. [**Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers**Niv Fono, Harel Moshayof, Eldar Karol, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/fono-2024-embible-reconstruction-ancient-hebrew-aramaic/)
4. [**EvaCun 2025 Shared Task: Lemmatization and Token Prediction in Akkadian and Sumerian using LLMs**Shai Gordin, Aleksi Sahala, Shahar Spencer, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/gordin-2025-evacun-2025-shared-task-lemmatization/)

9 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/fetaya-2020-restoration-fragmentary-babylonian-texts-using/) — Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks