---
title: "Who cites Multiattentive Recurrent Neural — 37 citing papers"
description: "37 papers of the Elamur Research library cite «Multiattentive Recurrent Neural Network Architecture for Multilingual Readability Assessment»…"
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---
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# Who cites «Multiattentive Recurrent Neural Network Architecture for Multilingual Readability Assessment»

37 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «Multiattentive Recurrent Neural Network Architecture for Multilingual Readability Assessment»](https://md.research.elamur.ai/free/en/papers/azpiazu-2019-multiattentive-recurrent-neural-network-architecture/)

1. **[Supervised and Unsupervised Neural Approaches to Text Readability](https://md.research.elamur.ai/free/en/papers/martinc-2021-supervised-unsupervised-neural-approaches-text/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Matej Martinc, Senja Pollak, Marko Robnik-Šikonja*2021 · 190 citations*
2. **[Strategies for Arabic Readability Modeling](https://md.research.elamur.ai/free/en/papers/liberato-2024-strategies-arabic-readability-modeling/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Juan Liberato, Bashar Alhafni, Muhamed Khalil, et al.*2024 · 26 citations*
3. **[Cross-corpus Readability Compatibility Assessment for English Texts](https://md.research.elamur.ai/free/en/papers/li-2023-cross-corpus-readability-compatibility-assessment/) [IEEE Access](https://md.research.elamur.ai/free/en/venues/ieee-access/)**Zhenzhen Li, Han Ding, Shaohong Zhang*2023 · 6 citations*
4. **[LIS at BAREC Shared Task 2025: Multi-Scale Curriculum Learning for Arabic Sentence-Level Readability Assessment Using Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/djoudi-2025-lis-barec-shared-task-2025/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Anya Amel Nait Djoudi, Patrice Bellot, Adrian-Gabriel Chifu*2025 · 1 citation*
5. **[A Comparative Study of Multilingual Fine-tuning and Prompting for Automatic Text Readability Classification in Galician](https://md.research.elamur.ai/free/en/papers/rey-2026-comparative-study-multilingual-fine-tuning/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Sandra Rodríguez Rey, Marcos Garcia*2026*
6. **[Opportunities and Challenges of LLMs in Education: An NLP Perspective](https://md.research.elamur.ai/free/en/papers/vajjala-2026-opportunities-challenges-llms-education-nlp/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.*2026*
7. **[Translation as Augmentation: Effect of Translated Data on Assessment of Difficulty](https://md.research.elamur.ai/free/en/papers/wu-2026-translation-as-augmentation-effect-translated/) [Workshop on Evaluating Text Difficulty in a Multilingual Context](https://md.research.elamur.ai/free/en/venues/determit/)**Yiheng Wu, Jue Hou, Roman Yangarber*2026*
8. **[Modelling French readability for adults with low literacy (Modélisation de la lisibilité en français pour les personnes en situation d'illettrisme)](https://md.research.elamur.ai/free/en/papers/aissa-2025-modelisation-de-la-lisibilite-en/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Wafa Aissa, Thibault Bañeras-Roux, Elodie Vanzeveren, et al.*2025*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/azpiazu-2019-multiattentive-recurrent-neural-network-architecture/) — Multiattentive Recurrent Neural Network Architecture for Multilingual Readability Assessment