---
title: "Who cites Explicit Morphological Knowledge Improves…"
description: "7 papers of the Elamur Research library cite «Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Explicit Morphological Knowledge Improves…](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/) / cited by

# Who cites «Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew»

7 papers of our library cite it (of the 140,884 whose bibliographies we read) · 6 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/)

1. [**HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew**Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2024-hesum-novel-dataset-abstractive-text/)
2. [**MoVoC: Morphology-Aware Subword Construction for Ge'ez Script Languages**Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2025-movoc-morphology-aware-subword-construction/)
3. [**MoVoC: Morphology-Aware Subword Construction for Geez Script Languages**Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2025-movoc-morphology-aware-subword-construction-geez/)
4. [**Modelling the Morphology of Verbal Paradigms: A Case Study in the Tokenization of Turkish and Hebrew**Giuseppe Samo, Paola Merlo*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/samo-2026-modelling-morphology-verbal-paradigms-case/)
5. [**Hebrew Diacritics Restoration using Visual Representation**Yair Elboher, Yuval Pinter*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elboher-2026-hebrew-diacritics-restoration-visual-representation/)
6. [**Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification**Natalia Vanetik, Lior Liberov, Marina Litvak, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/vanetik-2025-safer-hebrew-communication-dataset-offensive/)

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/) — Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew