---
title: "Who cites Pedro Ortiz Suarez — page 2"
description: "1,124 papers of the Elamur Research library cite the works of Pedro Ortiz Suarez, found in their bibliographies · page 2 of 2 · 101–126; the most cited…"
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---
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# Who cites Pedro Ortiz Suarez

1,274 citations of their works from 1,124 papers of our library (of the 140,884 whose bibliographies we read) · 126 with a page here, the most cited first · page 2 of 2 · 101–126 · [← Pedro Ortiz Suarez](https://md.research.elamur.ai/free/en/authors/pedro-ortiz-suarez/)

[← prev](https://md.research.elamur.ai/free/en/authors/pedro-ortiz-suarez/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/pedro-ortiz-suarez/cited-by/) **2**

101. [**Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMs**Yara Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alakeel-2026-morphemes-borders-evaluating-root-pattern/)
102. [**Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMs**Yara Yousif Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alakeel-2026-morphemes-without-borders-evaluating-root/)
103. [**Dense Retrieval for Low Resource Languages — the Case of Amharic Language**Tilahun Yeshambel, Moncef Garouani, Serge Molina, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yeshambel-2025-dense-retrieval-low-resource-languages/)
104. [**LCHAIM - Investigating Long Context Reasoning in Hebrew**Ehud Malul, Oriel Perets, Ziv Mor, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/malul-2025-lchaim-investigating-long-context-reasoning/)
105. [**When Alignment Hurts: Decoupling Representational Spaces in Multilingual Models**Ahmed Elshabrawy, Hour Kaing, Haiyue Song, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/elshabrawy-2025-alignment-hurts-decoupling-representational-spaces/)
106. [**AlcLaM: Arabic Dialectal Language Model**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/)
107. [**Harnessing Multilingual Resources to Question Answering in Arabic**Khalid Alnajjar, Mika Hamalainen*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alnajjar-2022-harnessing-multilingual-resources-question-answering/)
108. [**Analysis of Data Augmentation Methods for Low-Resource Maltese ASR**Andrea DeMarco; Carlos Mena; Albert Gatt; Claudia Borg; Aiden Williams;, Lonneke van der Plas*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/demarco-2021-analysis-data-augmentation-methods-low/)
109. [**Automated Essay Scoring and Language Certification: Assessing Generalizability, Agreement and Validity for French**Rodrigo Wilkens, Rémi Cardon, Vincent Folny, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wilkens-2026-automated-essay-scoring-language-certification/)
110. [**Automatic Prediction of Prominence and Boundary Strength from Text**Pauline Mas, Kévin Vythelingum, Jonathan Chevelu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mas-2026-automatic-prediction-prominence-boundary-strength/)
111. [**Benchmark Data Contamination in Underrepresented Languages: A Comprehensive Analysis Using Brazilian Data**Iriedson Souto Maior de Moraes Vilar, David Candeia Maia, João Brunet, et al.*2026*](https://md.research.elamur.ai/free/en/papers/vilar-2026-benchmark-data-contamination-underrepresented-languages/)
112. [**BEReshiT: an Ancient Hebrew Model based on DictaBERT**Iglika Nikolova-Stoupak, Maxime Amblard, Frédérique Rey*2026*](https://md.research.elamur.ai/free/en/papers/stoupak-2026-bereshit-ancient-hebrew-model-based/)
113. [**Beyond Multilinguality: Typological Limitations in Multilingual Models for Meitei Language**Badal Nyalang*2026*](https://md.research.elamur.ai/free/en/papers/nyalang-2026-beyond-multilinguality-typological-limitations-multilingual/)
114. [**Cross-Dialectal Transfer for Low-Resource Arabic: The Tunisian Arabic Dependency Treebank**Amal Aissaoui*2026*](https://md.research.elamur.ai/free/en/papers/aissaoui-2026-cross-dialectal-transfer-low-resource/)
115. [**EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressions**Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.*2026*](https://md.research.elamur.ai/free/en/papers/noel-2026-eiffel-novel-benchmark-measure-bias/)
116. [**HalleluBERT: Let Every Token That Has Meaning Bear Its Weight**Raphael Schmitt*2026*](https://md.research.elamur.ai/free/en/papers/schmitt-2026-hallelubert-let-every-token-that/)
117. [**ParaCLEAN: Improving Translation Quality through Systematic Parallel Data Cleaning**Audrey Mash, Ella Paulina Bohman, Maite Melero*2026*](https://md.research.elamur.ai/free/en/papers/mash-2026-paraclean-improving-translation-quality-through/)
118. [**Parsing Arabic Dialects Revisited: New Benchmarks, Models, and Insights**Ahmed Farouk Zakaria Elshabrawy, Go Inoue, Muhammed AbuOdeh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/elshabrawy-2026-parsing-arabic-dialects-revisited-new/)
119. [**PolyglotQL: A Pipeline for Multilingual Text-to-SPARQL Dataset Generation**Julio Perez, Fabio Barth, Georg Rehm*2026*](https://md.research.elamur.ai/free/en/papers/perez-2026-polyglotql-pipeline-multilingual-text-sparql/)
120. [**Quality and Appropriateness of Large Text Datasets for Irish NLP**Abigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.*2026*](https://md.research.elamur.ai/free/en/papers/walsh-2026-quality-appropriateness-large-text-datasets/)
121. [**Reference-free Evaluation at Inference for NER/NEL over OCRed Historical Texts**Tien-Nam Nguyen, Adam Jatowt, Ahmed Hamdi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-reference-free-evaluation-inference-ner/)
122. [**SemiAdapt: Semi-Supervised and Efficient LoRA-Based Domain Adaptation for Low-Resource Irish Machine Translation with Transformers**Josh Mcgiff, Nikola S. Nikolov*2026*](https://md.research.elamur.ai/free/en/papers/mcgiff-2026-semiadapt-semi-supervised-efficient-lora/)
123. [**Variation Is the Norm: Embracing Sociolinguistics in NLP**Anne-Marie Lutgen, Alistair Plum, Verena Blaschke, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lutgen-2026-variation-is-norm-embracing-sociolinguistics/)
124. [**Modelling French readability for adults with low literacy (Modélisation de la lisibilité en français pour les personnes en situation d'illettrisme)**Wafa Aissa, Thibault Bañeras-Roux, Elodie Vanzeveren, et al.*2025*](https://md.research.elamur.ai/free/en/papers/aissa-2025-modelisation-de-la-lisibilite-en/)
125. [**Universal Dependencies for Sindhi**John Bauer, Sakiina Shah, Muhammad Shaheer, et al.*2025*](https://md.research.elamur.ai/free/en/papers/bauer-2025-universal-dependencies-sindhi/)
126. [**Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)**Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.*2024*](https://md.research.elamur.ai/free/en/papers/antoine-2024-etude-des-facteurs-de-complexite/)

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