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title: "European Language Resources Association (ELRA) — works, page"
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# Works of European Language Resources Association (ELRA)

911 works · page 6 of 10 · the most cited first · [← European Language Resources Association (ELRA)](https://md.research.elamur.ai/free/en/publishers/european-language-resources-association-elra/)

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501. [**Fitting Fixed Expressions into the UD Mould: Swedish as a Use Case**Lars Ahrenberg*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahrenberg-2024-fitting-fixed-expressions-into-ud/)
502. [**From YCOE to UD: Rule-based Root Identification in Old English**Luca Brigada Villa, Martina Giarda*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/villa-2024-ycoe-ud-rule-based-root/)
503. [**Enhancing Deep Learning with Embedded Features for Arabic Named Entity Recognition**Ali L. Hatab, Caroline Sabty, Slim Abdennadher*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/hatab-2022-enhancing-deep-learning-embedded-features/)
504. [**The Hebrew Essay Corpus**Chen Gafni, Anat Prior, Shuly Wintner*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gafni-2022-hebrew-essay-corpus/)
505. [**A Romanization System and WebMAUS Aligner for Arabic Varieties**Jalal Al-Tamimi, Florian Schiel, Ghada Khattab, et al.*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tamimi-2022-romanization-system-webmaus-aligner-arabic/)
506. [**Automatic Construction of Aramaic-Hebrew Translation Lexicon**Chaya Liebeskind, Shmuel Liebeskind*2020 · 1 citation*](https://md.research.elamur.ai/free/en/papers/liebeskind-2020-automatic-construction-aramaic-hebrew-translation/)
507. [**OSMAN — A Novel Arabic Readability Metric**Mahmoud El-Haj, Paul Rayson*2016 · 1 citation*](https://md.research.elamur.ai/free/en/papers/haj-2016-osman-textemdash-novel-arabic-readability/)
508. [**Bidirectionnal converter between syntactic annotations : from French Treebank Dependencies to PASSAGE annotations, and back**Munshi Asadullah, Patrick Paroubek, Anne Vilnat*2014 · 1 citation*](https://md.research.elamur.ai/free/en/papers/asadullah-2014-bidirectionnal-converter-between-syntactic-annotations/)
509. [**How to construct a multi-lingual domain ontology**Nitsan Chrizman, Alon Itai*2014 · 1 citation*](https://md.research.elamur.ai/free/en/papers/chrizman-2014-how-construct-multi-lingual-domain/)
510. [**Incorporating an Error Corpus into a Spellchecker for Maltese**Michael Rosner, Albert Gatt, Andrew Attard, et al.*2012 · 1 citation*](https://md.research.elamur.ai/free/en/papers/rosner-2012-incorporating-error-corpus-into-spellchecker/)
511. [**A Layered Annotation Workflow for Semitic Epigraphy**Tal Bernstein, Shai Gordin, Letizia Cerqueglini*2026*](https://md.research.elamur.ai/free/en/papers/bernstein-2026-layered-annotation-workflow-semitic-epigraphy/)
512. [**Annotation Matters: Resolving Cross-Corpus Performance Drops in Hebrew Offensive Language Detection**Gili Berger Hefetz, Yossef Haim Shrem, Natalia Vanetik, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hefetz-2026-annotation-matters-resolving-cross-corpus/)
513. [**Domain-Aware Error Correction for Citation NER in Medieval Hebrew Responsa**Shmuel LIebeskind, Maayan Zhitomirsky-Geffet, Binyamin Katzoff, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liebeskind-2026-domain-aware-error-correction-citation/)
514. [**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/)
515. [**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/)
516. [**Do Lexical and Contextual Coreference Resolution Systems Degrade Differently under Mention Noise? An Empirical Study on Scientific Software Mentions**Atilla Kaan Alkan, Felix Grezes, Jennifer Lynn Bartlett, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alkan-2026-do-lexical-contextual-coreference-resolution/)
517. [**Pragmatic Modelling in Language Learning: Caregiver Question-Answer Feedback in Child-Directed Dialogue**Maryam Bala, Johannes Heim, Elspeth Edelstein, et al.*2026*](https://md.research.elamur.ai/free/en/papers/bala-2026-pragmatic-modelling-language-learning-caregiver/)
518. [**From CHAT to Coded CoNLL-U: A Reproducible Pipeline for the Syntactic Annotation and Querying of Child Language Data**Achim Stein*2026*](https://md.research.elamur.ai/free/en/papers/stein-2026-chat-coded-conll-u-reproducible/)
519. [**Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR**Wenyang Gao, Yaxuan Li, Yunxin Bao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/gao-2026-modular-neural-machine-translation-semantic/)
520. [**Modelling Idiomatic Expressions in Abstract Meaning Representation**Venera Gareeva, Johannes Heinecke*2026*](https://md.research.elamur.ai/free/en/papers/gareeva-2026-modelling-idiomatic-expressions-abstract-meaning/)
521. [**Benchmarking Arabic Authorship Attribution and Style Transfer with Large Language Models**Injy Hamed, Bashar Alhafni, Nizar Habash, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hamed-2026-benchmarking-arabic-authorship-attribution-style/)
522. [**Syntax is the Key to Semantics: Combining Universal Dependencies and Abstract Meaning Representation**Johannes Heinecke*2026*](https://md.research.elamur.ai/free/en/papers/heinecke-2026-syntax-is-key-semantics-combining/)
523. [**A Comprehensive Full-Form Lexicon for Arabic NLP and Speech Technology**Yannis Haralambous, Jack Halpern*2026*](https://md.research.elamur.ai/free/en/papers/haralambous-2026-comprehensive-full-form-lexicon-arabic/)
524. [**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/)
525. [**OasisSimp: An Open-source Asian-English Sentence Simplification Dataset**Hannah Liu, Murphy Tian, Iqra Ali, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-oasissimp-open-source-asian-english/)
526. [**SciCiteVal: A Multi-Domain Dataset for Scientific Citation Verification**Qinyue Liu, Yongxin Zhou, Cyril Labbe*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-sciciteval-multi-domain-dataset-scientific/)
527. [**SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic Languages**Hannah Liu, Junghyun Min, Annie En-Shiun Lee, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-siniticmterror-machine-translation-dataset-error/)
528. [**Ithaca Revisited: Benchmarking a Domain-Specific Model for Epigraphy in the Age of LLMs**Alessandro Locaputo, Andrea Brunello, Nicola Saccomanno, et al.*2026*](https://md.research.elamur.ai/free/en/papers/locaputo-2026-ithaca-revisited-benchmarking-domain-specific/)
529. [**Corpus and Baselines for Distinguishing Authentic, AI-Generated, and AI-Enhanced Resumes**Andrea Loizidou, Anshu Kiran Sharma, Adrian Esquivel, et al.*2026*](https://md.research.elamur.ai/free/en/papers/loizidou-2026-corpus-baselines-distinguishing-authentic-ai/)
530. [**MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages**Anri M. Lombard, Simbarashe Mawere, Temi Aina, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lombard-2026-mzansitext-mzansilm-open-corpus-decoder/)
531. [**Sanskrit Travelogue: A Large-Scale Unified and Annotated Corpus of Sanskrit Texts**Giacomo De Luca, Danilo Croce, Roberto Basili*2026*](https://md.research.elamur.ai/free/en/papers/luca-2026-sanskrit-travelogue-large-scale-unified/)
532. [**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/)
533. [**Investigating Memorization in Language Models Trained via Knowledge Distillation**Maarten Mäcking, Michaela Regneri*2026*](https://md.research.elamur.ai/free/en/papers/macking-2026-investigating-memorization-language-models-trained/)
534. [**Parallel Corpus Filtering Based on Semantic Similarity and Surface Dissimilarity for Japanese Text Simplification with LLMs**Daisuke Maekawa, Tomoyuki Kajiwara, Takashi Ninomiya*2026*](https://md.research.elamur.ai/free/en/papers/maekawa-2026-parallel-corpus-filtering-based-semantic/)
535. [**Evaluating the Impact of Source Diversity for RAG in Historical Research**Ruhi Mahadeshwar, Andreas van Cranenburgh, Tommaso Caselli, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mahadeshwar-2026-evaluating-impact-source-diversity-rag/)
536. [**Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QA**Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/maheshwary-2026-augmenting-llm-reasoning-dynamic-notes/)
537. [**AgriChain: Visually-Grounded Expert-Verified Reasoning for Interpretable Agricultural Vision–Language Models**Hazza Mahmood, Yongqiang Yu, Rao Anwer*2026*](https://md.research.elamur.ai/free/en/papers/mahmood-2026-agrichain-visually-grounded-expert-verified/)
538. [**CommonMorph: Participatory Morphological Documentation Platform**Aso Mahmudi, Sina Ahmadi, Kemal Maulana Kurniawan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mahmudi-2026-commonmorph-participatory-morphological-documentation-platform/)
539. [**From Rosetta to Match-Up: A Paired Corpus of Linguistic Puzzles with Human and LLM Benchmarks**Neh Majmudar, Anne Huang, Jinfan Frank Hu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/majmudar-2026-rosetta-match-up-paired-corpus/)
540. [**DREAM: A Multicultural Multimodal Dataset Linking Dialogues and Realistic Image Sequences**Juan Mallo, Marcos Estecha-Garitagoitia, Ricardo Cordoba, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mallo-2026-dream-multicultural-multimodal-dataset-linking/)
541. [**Latin Represented Speech (LaReS): Linking LiLa and the DICES Database**Francesco Mambrini*2026*](https://md.research.elamur.ai/free/en/papers/mambrini-2026-latin-represented-speech-lares-linking/)
542. [**Structured Prompting for Arabic Essay Proficiency: A Trait-Centric Evaluation Approach**Salim Al Mandhari, Hieu Pham Dinh, Mo El-Haj, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mandhari-2026-structured-prompting-arabic-essay-proficiency/)
543. [**Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus**Aidan Mannion, Cécile Macaire, Armand Violle, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mannion-2026-is-biomedical-specialization-still-worth/)
544. [**A Computational Diachronic Analysis of Gen Z Mental Health Discourse: A Large-scale Reddit Corpus Study from Pre- to Post-COVID**Felix Mao*2026*](https://md.research.elamur.ai/free/en/papers/mao-2026-computational-diachronic-analysis-gen-z/)
545. [**A Corpus-Based Profiling of Regional English Variants in Global Media: Insights from Olympic Journalism**Felix Mao*2026*](https://md.research.elamur.ai/free/en/papers/mao-2026-corpus-based-profiling-regional-english/)
546. [**The Evolution of Philosophy: A Metaphorical Cognition Perspective**Rui Mao, Dapeng Chen, Zihao Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mao-2026-evolution-philosophy-metaphorical-cognition-perspective/)
547. [**Mind the Language Gap: Assessing LLM Safety in Italian**Elena Marafatto, Roberto Navigli*2026*](https://md.research.elamur.ai/free/en/papers/marafatto-2026-mind-language-gap-assessing-llm/)
548. [**Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine Translation**Malik Marmonier, Benoît Sagot, Rachel Bawden*2026*](https://md.research.elamur.ai/free/en/papers/marmonier-2026-hindsight-quality-prediction-experiments-multi/)
549. [**From Lemmatization to Legal Terminology: Assessing an Hybrid Pipeline on Justinian's Digest**Paola Marongiu, Eva Sassolini*2026*](https://md.research.elamur.ai/free/en/papers/marongiu-2026-lemmatization-legal-terminology-assessing-hybrid/)
550. [**SOMVOICE: A First Dataset to Study the Effects of Sleep Deprivation on Voice Characteristics of Healthy French Speakers**Vincent P. Martin, Jean-Luc Rouas, Colleen Beaumard, et al.*2026*](https://md.research.elamur.ai/free/en/papers/martin-2026-somvoice-first-dataset-study-effects/)
551. [**A Large-Scale Instruction-Tuning Dataset and Models for Slovenian Vision-Language Tasks**Matej Martinc, Domen Vreš*2026*](https://md.research.elamur.ai/free/en/papers/martinc-2026-large-scale-instruction-tuning-dataset/)
552. [**Russian Generative Spelling, Punctuation and Capitalization Correction**Nikita Martynov, Danil Astafurov, Ulyana Isaeva, et al.*2026*](https://md.research.elamur.ai/free/en/papers/martynov-2026-russian-generative-spelling-punctuation-capitalization/)
553. [**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/)
554. [**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/)
555. [**Phonetic-based Ranking for Improved Pseudo-Labeling in Low-Resource ASR**Marco Matassoni, Roberto Gretter, Falavigna Daniele, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matassoni-2026-phonetic-based-ranking-improved-pseudo/)
556. [**Probing the Dynamics of Syntactic Ability Acquisition Throughout LLM Pretraining**Hiroshi Matsuda, Masayuki Asahara*2026*](https://md.research.elamur.ai/free/en/papers/matsuda-2026-probing-dynamics-syntactic-ability-acquisition/)
557. [**Topic-Initiator: A Proactive Chatbot with Personalized Topic RAG for Enhancing Willingness to Converse**Kazuya Matsuo, Atsushi Otsuka, Narichika Nomoto, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matsuo-2026-topic-initiator-proactive-chatbot-personalized/)
558. [**Which Way Does Time Flow? A Psychophysics-Grounded Evaluation for Vision–Language Models**Shiho Matta, Lis Kanashiro Pereira, Peitao Han, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matta-2026-which-way-does-time-flow/)
559. [**Ancient Greek to Modern Greek Machine Translation: A Novel Benchmark and Fine-Tuning Experiments on LLMs and NMT Models**Spyridon Mavromatis, Sokratis Sofianopoulos, Prokopis Prokopidis, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mavromatis-2026-ancient-greek-modern-greek-machine/)
560. [**Generating Sign Language Poses from HamNoSys and Natural Language Descriptions**Santiago Máximo, Luis Chiruzzo*2026*](https://md.research.elamur.ai/free/en/papers/maximo-2026-generating-sign-language-poses-hamnosys/)
561. [**KinyCOMET: Automatic Evaluation of Machine Translation Systems for Kinyarwanda–English**Prince Chris Mazimpaka, Jan Nehring, Samuel Rutunda, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mazimpaka-2026-kinycomet-automatic-evaluation-machine-translation/)
562. [**Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM Search**Kyle A. McCleary, James M. Ghawaly*2026*](https://md.research.elamur.ai/free/en/papers/mccleary-2026-quantifying-accuracy-cost-impact-design/)
563. [**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/)
564. [**Transcription Accuracy in the Icelandic Gigaword Corpus: Evaluating Automatic and Manual Annotation**Johanna Mechler, Lilja Björk Stefánsdóttir, Anton Karl Ingason*2026*](https://md.research.elamur.ai/free/en/papers/mechler-2026-transcription-accuracy-icelandic-gigaword-corpus/)
565. [**Can LLMs Faithfully Explain Themselves in Low-Resource Languages? A Case Study on Emotion Detection in Persian**Mobina Mehrazar, Mohammad Amin Yousefi, Parisa Beygi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mehrazar-2026-can-llms-faithfully-explain-themselves/)
566. [**Efficient Topic Extraction via Graph-Based Labeling: A Lightweight Alternative to Deep Models**Salma Mekaoui, Hiba Sofyan, Imane Benchrif, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mekaoui-2026-efficient-topic-extraction-graph-based/)
567. [**Automating FAIRness: A FAIRification Tool within the Language Resources Infrastructure**Daniele Melaccio, Monica Monachini*2026*](https://md.research.elamur.ai/free/en/papers/melaccio-2026-automating-fairness-fairification-tool-within/)
568. [**SALOMO: An Annotation Tool for Complex Annotation Tasks with a Large Number of Labels**Tim Menzner*2026*](https://md.research.elamur.ai/free/en/papers/menzner-2026-salomo-annotation-tool-complex-annotation/)
569. [**Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?**Selina Meyer, Magdalena Abel, Michael Roth*2026*](https://md.research.elamur.ai/free/en/papers/meyer-2026-headlines-you-won-t-forget/)
570. [**Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation**Kaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni, et al.*2026*](https://md.research.elamur.ai/free/en/papers/miandoab-2026-breaking-benchmark-revealing-llm-bias/)
571. [**GerVLPro: A CEFR-Graded Vocabulary List of L2 Learners' Productive Vocabulary in German**Noah-Manuel Michael, Anna Hülsing, Andrea Horbach*2026*](https://md.research.elamur.ai/free/en/papers/michael-2026-gervlpro-cefr-graded-vocabulary-list/)
572. [**A Recipe for Adapting Multilingual Embedders to OCR-Error Robustness and Historical Texts**Andrianos Michail, Stylianos Psychias, Juri Opitz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/michail-2026-recipe-adapting-multilingual-embedders-ocr/)
573. [**Comparing Approaches to Automatic Summarization in Less-Resourced Languages**Chester Palen-Michel, Constantine Lignos*2026*](https://md.research.elamur.ai/free/en/papers/michel-2026-comparing-approaches-automatic-summarization-less/)
574. [**Aggregated Transformer Attention Measures Predict Reading Times Beyond Surprisal**Lukas Mielczarek, Laura Kallmeyer*2026*](https://md.research.elamur.ai/free/en/papers/mielczarek-2026-aggregated-transformer-attention-measures-predict/)
575. [**Meaning Annotation Experience. A Tribute to Petr Sgall**Marie Mikulová, Jan Štěpánek, Barbora Štěpánková, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mikulova-2026-meaning-annotation-experience-tribute-petr/)
576. [**What Are LLMs Doing to Scientific Communication? Measuring Changes in Writing Practices and Reading Experience**Filip Miletić, Neele Falk*2026*](https://md.research.elamur.ai/free/en/papers/miletic-2026-what-are-llms-doing-scientific/)
577. [**Best-Worst Scaling of Hype in Biomedical Research: Building an Intensity Lexicon of Promotional Adjectives**Neil Millar, Dipesh Satav, Bojan Batalo, et al.*2026*](https://md.research.elamur.ai/free/en/papers/millar-2026-best-worst-scaling-hype-biomedical/)
578. [**A Dataset of Psychiatric Hospital Notes with Temporal Information Annotations**Timothy A. Miller, Gaby Dinh, David Harris, et al.*2026*](https://md.research.elamur.ai/free/en/papers/miller-2026-dataset-psychiatric-hospital-notes-temporal/)
579. [**Multilingual Target-Stance Extraction**Ethan Leigh Mines, Bonnie J. Dorr*2026*](https://md.research.elamur.ai/free/en/papers/mines-2026-multilingual-target-stance-extraction/)
580. [**Introducing PerMet 1.0: A Metaphor-Annotated Corpus for Persian**Mohammad Saeid Miri*2026*](https://md.research.elamur.ai/free/en/papers/miri-2026-introducing-permet-1-0-metaphor/)
581. [**SouDeC: Source Detection and Classification in Czech**Jiří Mírovský, Barbora Hladka*2026*](https://md.research.elamur.ai/free/en/papers/mirovsky-2026-soudec-source-detection-classification-czech/)
582. [**From LLM Prompts to Acoustic Baselines: A Scalable Pipeline for Under-Resourced Disfluent Code-Mixed Speech**Anuran Mitra, Anirvan Chakravarty, Tapabrata Mondal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mitra-2026-llm-prompts-acoustic-baselines-scalable/)
583. [**Are the LLMs Capable of Maintaining at Least the Language Genus?**Sandra Mitrović, David Kletz, Ljiljana Dolamic, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mitrovic-2026-are-llms-capable-maintaining-least/)
584. [**English to Central Kurdish Speech Translation: Corpus Creation, Evaluation, and Orthographic Standardization**Mohammad Mohammadamini, Daban Jaff, Josep Crego, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mohammadamini-2026-english-central-kurdish-speech-translation/)
585. [**Southern Kurdish Speech Recognition Resources and Benchmarking**Mohammad Mohammadamini, Marie Tahon*2026*](https://md.research.elamur.ai/free/en/papers/mohammadamini-2026-southern-kurdish-speech-recognition-resources/)
586. [**A Longitudinal, Multinational, and Multilingual Corpus of News Coverage of the Russo-Ukrainian War**Dikshya Mohanty, Taisiia Sabadyn, Jelwin Rodrigues, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mohanty-2026-longitudinal-multinational-multilingual-corpus-news/)
587. [**EDDA-Coordinata: An Annotated Dataset of Historical Geographic Coordinates**Ludovic Moncla, Pierre Nugues, Thierry Joliveau, et al.*2026*](https://md.research.elamur.ai/free/en/papers/moncla-2026-edda-coordinata-annotated-dataset-historical/)
588. [**DATASHI: A Parallel English–Tashlhiyt Corpus for Orthography Normalization and Low-Resource Language Processing.**Nasser-Eddine Monir, Zakaria Baou*2026*](https://md.research.elamur.ai/free/en/papers/monir-2026-datashi-parallel-english-tashlhiyt-corpus/)
589. [**Creation and Validation of a Monolingual Spanish NLI Dataset for Metaphor Interpretation via Model-in-the-Loop**Alec Sanchez-Montero, Gemma Bel-Enguix, Sergio Luis Ojeda Trueba*2026*](https://md.research.elamur.ai/free/en/papers/montero-2026-creation-validation-monolingual-spanish-nli/)
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591. [**Generation of Instruction and Preference Dataset for Improving Japanese Instruction Following in LLMs**Kei Moriyama, Takashi Kodama, Kouta Nakayama*2026*](https://md.research.elamur.ai/free/en/papers/moriyama-2026-generation-instruction-preference-dataset-improving/)
592. [**When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents**Virginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mouilleron-2026-when-tables-go-crazy-evaluating/)
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