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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

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  1. Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMsYara Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.2026 · 1 citation
  2. Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMsYara Yousif Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.2026 · 1 citation
  3. Dense Retrieval for Low Resource Languages — the Case of Amharic LanguageTilahun Yeshambel, Moncef Garouani, Serge Molina, et al.2025 · 1 citation
  4. LCHAIM - Investigating Long Context Reasoning in HebrewEhud Malul, Oriel Perets, Ziv Mor, et al.2025 · 1 citation
  5. When Alignment Hurts: Decoupling Representational Spaces in Multilingual ModelsAhmed Elshabrawy, Hour Kaing, Haiyue Song, et al.2025 · 1 citation
  6. AlcLaM: Arabic Dialectal Language ModelMurtadha Ahmed, Saghir Alfasly, Bo Wen, et al.2024 · 1 citation
  7. Harnessing Multilingual Resources to Question Answering in ArabicKhalid Alnajjar, Mika Hamalainen2022 · 1 citation
  8. Analysis of Data Augmentation Methods for Low-Resource Maltese ASRAndrea DeMarco; Carlos Mena; Albert Gatt; Claudia Borg; Aiden Williams;, Lonneke van der Plas2021 · 1 citation
  9. Automated Essay Scoring and Language Certification: Assessing Generalizability, Agreement and Validity for FrenchRodrigo Wilkens, Rémi Cardon, Vincent Folny, et al.2026
  10. Automatic Prediction of Prominence and Boundary Strength from TextPauline Mas, Kévin Vythelingum, Jonathan Chevelu, et al.2026
  11. Benchmark Data Contamination in Underrepresented Languages: A Comprehensive Analysis Using Brazilian DataIriedson Souto Maior de Moraes Vilar, David Candeia Maia, João Brunet, et al.2026
  12. BEReshiT: an Ancient Hebrew Model based on DictaBERTIglika Nikolova-Stoupak, Maxime Amblard, Frédérique Rey2026
  13. Beyond Multilinguality: Typological Limitations in Multilingual Models for Meitei LanguageBadal Nyalang2026
  14. Cross-Dialectal Transfer for Low-Resource Arabic: The Tunisian Arabic Dependency TreebankAmal Aissaoui2026
  15. EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressionsCharlotte Noel, Nicholas Asher, Olivier Gouvert, et al.2026
  16. HalleluBERT: Let Every Token That Has Meaning Bear Its WeightRaphael Schmitt2026
  17. ParaCLEAN: Improving Translation Quality through Systematic Parallel Data CleaningAudrey Mash, Ella Paulina Bohman, Maite Melero2026
  18. Parsing Arabic Dialects Revisited: New Benchmarks, Models, and InsightsAhmed Farouk Zakaria Elshabrawy, Go Inoue, Muhammed AbuOdeh, et al.2026
  19. PolyglotQL: A Pipeline for Multilingual Text-to-SPARQL Dataset GenerationJulio Perez, Fabio Barth, Georg Rehm2026
  20. Quality and Appropriateness of Large Text Datasets for Irish NLPAbigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.2026
  21. Reference-free Evaluation at Inference for NER/NEL over OCRed Historical TextsTien-Nam Nguyen, Adam Jatowt, Ahmed Hamdi, et al.2026
  22. SemiAdapt: Semi-Supervised and Efficient LoRA-Based Domain Adaptation for Low-Resource Irish Machine Translation with TransformersJosh Mcgiff, Nikola S. Nikolov2026
  23. Variation Is the Norm: Embracing Sociolinguistics in NLPAnne-Marie Lutgen, Alistair Plum, Verena Blaschke, et al.2026
  24. 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
  25. Universal Dependencies for SindhiJohn Bauer, Sakiina Shah, Muhammad Shaheer, et al.2025
  26. 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

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