---
title: "Language and Linguistics — papers, page 82 — Elamur Research"
description: "Language and Linguistics: 9,206 papers of the Elamur Research library · page 82 of 93 · 8026–8125, the most cited first — our summary of…"
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# 🗣️ Language and Linguistics

9,206 papers · page 82 of 93 · 8026–8125 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Language and Linguistics is a subfield of Arts and Humanities in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Syntax, Semantics, Linguistic Variation».

## Papers (9,206)

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8026. [**Construction of Japanese Prefectural Assembly Minutes Datasets across Three Electoral Terms: Comparative Analysis of 2011, 2015, and 2019 Four-Year Periods**Keiichi Takamaru, Hokuto Ototake, Yuzu Uchida, et al.*2026*](https://md.research.elamur.ai/free/en/papers/takamaru-2026-construction-japanese-prefectural-assembly-minutes/)
8027. [**Context-8: A Data Set for Evaluating Context Sensitivity in Machine Translation**Dongyue Wang, Kyo Kageura*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-context-8-data-set-evaluating/)
8028. [**Context-Aware Dialectal Arabic Machine Translation with Interactive Region and Register Selection**Afroza Nowshin, Prithweeraj Acharjee Porag, Haziq Jeelani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nowshin-2026-context-aware-dialectal-arabic-machine/)
8029. [**Contrastively Pre-trained Event Embeddings with Schema-free LLM Annotations**Frank Mtumbuka, Steven Schockaert*2026*](https://md.research.elamur.ai/free/en/papers/mtumbuka-2026-contrastively-pre-trained-event-embeddings/)
8030. [**Controllable Sentence Simplification in Italian: Fine-Tuning Large Language Models on Automatically Generated Resources**Michele Papucci, Giulia Venturi, Felice Dell'Orletta*2026*](https://md.research.elamur.ai/free/en/papers/papucci-2026-controllable-sentence-simplification-italian-fine/)
8031. [**CONVERSE: Annotation Scheme and Dataset for Multimodal Conversational Engagement Analysis in Human-Human and Human-Robot Interaction**Ekaterina Torubarova, Oskar Ljung, Julia Uddén, et al.*2026*](https://md.research.elamur.ai/free/en/papers/torubarova-2026-converse-annotation-scheme-dataset-multimodal/)
8032. [**Coordination of unmatched clause types and dynamic look-ahead**Peter Lasersohn*2026*](https://md.research.elamur.ai/free/en/papers/lasersohn-2026-coordination-unmatched-clause-types-dynamic/)
8033. [**COPECO-Speech: Multimodal Post-Editing with Speech and LLMs for Translation Teaching**Jeevanthi Liyanapathirana, Pierrette Bouillon, Jonathan Mutal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liyanapathirana-2026-copeco-speech-multimodal-post-editing/)
8034. [**Corpora Generation for Urdu Grammatical Error Correction**Syed Ahad, Burhanuddin Aliasghar Ezzi, Muhammad Arsalan Hussain, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ahad-2026-corpora-generation-urdu-grammatical-error/)
8035. [**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/)
8036. [**Corruption-Based Data Augmentation for Arabic Essay Scoring: A Preliminary Study on the Organization Trait**May Saed Bashendy, Tamer Elsayed*2026*](https://md.research.elamur.ai/free/en/papers/bashendy-2026-corruption-based-data-augmentation-arabic/)
8037. [**CorSpell: Introducing a Semiautomatic Tool for Spelling Normalization in Brazilian Portuguese**Juliana Schoffen, Dennis Giovani Balreira, Elisa Marchioro Stumpf, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schoffen-2026-corspell-introducing-semiautomatic-tool-spelling/)
8038. [**CPQD: A Chinese Poetry Quotation Dataset for Enhancing the Literary Expressiveness of Large Language Models (CPQD: 用于提升大语言模型文学表现力的中文诗词引用数据集)**Yahao Hu (胡亚豪), Lei Xu (徐磊), Zhisong Pan (潘志松), et al.*2026*](https://md.research.elamur.ai/free/en/papers/hu-2026-cpqd-chinese-poetry/)
8039. [**Creating a Hybrid Rule and Neural Network Based Semantic Tagger Using Silver Standard Data: The PyMUSAS Framework for Multilingual Semantic Annotation**Andrew Moore, Paul Rayson, Dawn Archer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/moore-2026-creating-hybrid-rule-neural-network/)
8040. [**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/)
8041. [**CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor Traps**Jungmin Yun, June Hyoung Kwon, Youngbin Kim*2026*](https://md.research.elamur.ai/free/en/papers/yun-2026-crit-qa-evaluating-multi-hop/)
8042. [**Cross-Corpus CEFR Classification through Artificial Learners Perplexities**Bernardo Stearns, John P. McCrae, Thomas Gaillat*2026*](https://md.research.elamur.ai/free/en/papers/stearns-2026-cross-corpus-cefr-classification-through/)
8043. [**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/)
8044. [**Cross-Lingual and Cross-Cultural Transfer of Talk Move Classification to German Science Classrooms**Christian Wartena, Christian Schumburg, Andreas Nehring, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wartena-2026-cross-lingual-cross-cultural-transfer/)
8045. [**Cross-lingual Lexical Semantic Change in Romance Languages**Ana Sabina Uban, Liviu P Dinu, Anca Daniela Dinu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/uban-2026-cross-lingual-lexical-semantic-change/)
8046. [**CrossOracle: An Agentic Framework for Real-Time Expert Personas with Parallelized Acoustic Synthesis**Yash Raj Singh*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-crossoracle-agentic-framework-real-time/)
8047. [**Crowdsourcing Piedmontese to Test LLMs on Non-Standard Orthography**Gianluca Vico, Jindřich Libovický*2026*](https://md.research.elamur.ai/free/en/papers/vico-2026-crowdsourcing-piedmontese-test-llms-non/)
8048. [**CS-YODAS: A Mined Dataset of In-the-Wild Code-Switched Speech**Brian Yan, Qingzheng Wang, Matthew Wiesner, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-cs-yodas-mined-dataset-wild/)
8049. [**Cultural and Knowledge Biases in LLMs through the Lens of Entity-Aware Machine Translation**Lu Xu, Luca Moroni, Roberto Navigli*2026*](https://md.research.elamur.ai/free/en/papers/xu-2026-cultural-knowledge-biases-llms-through/)
8050. [**Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models**Ali Mekky, Mohamed El Zeftawy, Lara Hassan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mekky-2026-curriculum-learning-pseudo-labeling-improve/)
8051. [**DAMETA: An LLM Benchmark for Danish Metaphor Interpretation with Systematically Varied Distractors**Nina Skovgaard Schneidermann, Sanni Nimb, Nathalie Carmen Hau Norman, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schneidermann-2026-dameta-llm-benchmark-danish-metaphor/)
8052. [**Data-Centric Approach at the LoResMT 2026 Turkic Translation Challenge: Russian-Kyrgyz**Dmitry Novokshanov*2026*](https://md.research.elamur.ai/free/en/papers/novokshanov-2026-data-centric-approach-loresmt-2026/)
8053. [**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/)
8054. [**Degree Zero of Translation: Using Interlinear Baselines to Quantify Translator Intervention**Maciej Rapacz, Aleksander Smywiński-Pohl*2026*](https://md.research.elamur.ai/free/en/papers/rapacz-2026-degree-zero-translation-interlinear-baselines/)
8055. [**Designing LLM Agents for User-Centered Language Service Selection**Ryoichiro Ogawa, Donghui Lin, Fumito Uwano*2026*](https://md.research.elamur.ai/free/en/papers/ogawa-2026-designing-llm-agents-user-centered/)
8056. [**Detecting Experiential Intertextuality Across Migration Routes: Beyond Surface Similarity in French Narratives**Sakayo Toadoum Sari, Nelly Robin, Michelle Auzanneau, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sari-2026-detecting-experiential-intertextuality-across-migration/)
8057. [**Detecting Hallucinations in Authentic LLM–Human Interactions**Yujie Ren, Niklas Gruhlke, Anne Lauscher*2026*](https://md.research.elamur.ai/free/en/papers/ren-2026-detecting-hallucinations-authentic-llm-human/)
8058. [**Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark**Yu Wu, Ke Shu, Jonas Fischer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-detecting-latin-historical-books-large/)
8059. [**Determinants of Hesitations and Repetitions in Hindi Spontaneous Speech**Eashani Sharma, Ishita Arun, Samar Husain*2026*](https://md.research.elamur.ai/free/en/papers/sharma-2026-determinants-hesitations-repetitions-hindi-spontaneous/)
8060. [**Developing a Guideline for the Labovian-Structural Analysis of Oral Narratives in Japanese**Amane Watahiki, Tomoki Doi, Akari Kikuchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/watahiki-2026-developing-guideline-labovian-structural-analysis/)
8061. [**Developing A Hawaiian Corpus Toolkit for Data-Driven Language Learning**Joseph Winkie, Michol Miller, Winston Wu*2026*](https://md.research.elamur.ai/free/en/papers/winkie-2026-developing-hawaiian-corpus-toolkit-data/)
8062. [**Developing Zila: A Spoken Language Resource for the Endangered Slovenian Gail Valley Dialect**Andrej Zgank, Gregor Donaj, Urh Kolaric, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zgank-2026-developing-zila-spoken-language-resource/)
8063. [**Development of an Arabic Grammar Instructional Medium Based on Illustrated Stories in Elementary School**Siti Nurhayati Solihah, Moch Mu'izzuddin, Ahmad Habibi Syahid, et al.*2026*](https://md.research.elamur.ai/free/en/papers/solihah-2026-development-arabic-grammar-instructional-medium/)
8064. [**DevLake at LoResMT 2026: The Impact of Pre-training and Model Scale on Russian-Bashkir Low-Resource Translation**Vyacheslav Tyurin*2026*](https://md.research.elamur.ai/free/en/papers/tyurin-2026-devlake-loresmt-2026-impact-pre/)
8065. [**Diagnose, Then Repair: A Two-Stage MQM-Guided Post-Editing Framework for Domain-Specific Machine Translation**Ji Hun Wang, Siyu Wu*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-diagnose-then-repair-two-stage/)
8066. [**Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark Suite**Klaudia Thellmann, Bernhard Stadler, Michael Färber*2026*](https://md.research.elamur.ai/free/en/papers/thellmann-2026-diagnosing-translated-benchmarks-automated-quality/)
8067. [**Dialectal Filtering: Synthesizing Kurdish Corpora for Low-Resource Varieties by Utilizing “Noise” in Large Textual Data**Christian Schuler, Raman Ahmad, Ānrán Wáng, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schuler-2026-dialectal-filtering-synthesizing-kurdish-corpora/)
8068. [**DialogueSidon: Recovering Full-Duplex Dialogue Tracks from In-the-Wild Dialogue Audio**Wataru Nakata, Yuki Saito, Kazuki Yamauchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakata-2026-dialoguesidon-recovering-full-duplex-dialogue/)
8069. [**DIDECO: An Annotated Dataset for Intent Detection in Digital Communications**Senaid Popovic, Damien Riquet, Maxime Meyer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/popovic-2026-dideco-annotated-dataset-intent-detection/)
8070. [**Diff4TST: Masked Diffusion Language Model for Text Style Transfer**Xinchen Ma, Gaole He, Yunshi Lan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-diff4tst-masked-diffusion-language-model/)
8071. [**DiPS: Dialogue Policy Selection for High-Stakes Persuasion Agents**Tianyi Zhang, Mousumi Das, Abrar Anwar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-dips-dialogue-policy-selection-high/)
8072. [**Discourse Structure Variation for Large Language Model Evaluation in Text Simplification (大模型文本简化的篇章结构变化分析与评测)**Junhui Zhu (朱君辉), Erhong Yang (杨尔弘), Haonan Zhu (朱浩楠), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-discourse-structure-variation/)
8073. [**Disentangling Annotator Skill from Verifier Strictness in Cross-Verified Dialogue Annotation**Zihao Tao, John A. Prado, Ignazio Steven LaManna, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tao-2026-disentangling-annotator-skill-verifier-strictness/)
8074. [**Diversity and Homogenisation in Generative AI Translation: A Comparative Study of English-Dutch Translation Across Domains**Dimitar Shterionov, Noa van Helleman, Eva Vanmassenhove*2026*](https://md.research.elamur.ai/free/en/papers/shterionov-2026-diversity-homogenisation-generative-ai-translation/)
8075. [**Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?**Luca Modica, Filip Landin, Mehrdad Farahani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/modica-2026-do-factual-recall-mechanisms-carry/)
8076. [**Do I know what I want to say? Modeling meaning uncertainty in RSA**Anzi Wang, Carolyn Jane Anderson, Grusha Prasad*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-do-i-know-what-i/)
8077. [**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/)
8078. [**Do LLMs Use Relational Structure in KG-Grounded Dialogue? Evidence from Entity and Relation Perturbation**Dominic Okonkwo, Ismailcem Budak Arpinar*2026*](https://md.research.elamur.ai/free/en/papers/okonkwo-2026-do-llms-use-relational-structure/)
8079. [**Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/)
8080. [**Document-Level Text Simplification in Estonian Using Large Language Models**Meeri-Ly Muru, Eduard Barbu*2026*](https://md.research.elamur.ai/free/en/papers/muru-2026-document-level-text-simplification-estonian/)
8081. [**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/)
8082. [**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/)
8083. [**DRInQ: Evaluating Conversational Implicature with Controlled Context Variation**Hirona Jacqueline Arai, Xiang Ren*2026*](https://md.research.elamur.ai/free/en/papers/arai-2026-drinq-evaluating-conversational-implicature-controlled/)
8084. [**DS@GT ARC at CheckThat! 2026: LLM-Based Trace Ranking and Grouped Reward Modeling for Multilingual Numerical Claim Verification**Sagnik Sinha, Shreyas Shrestha*2026*](https://md.research.elamur.ai/free/en/papers/sinha-2026-ds-gt-arc-checkthat-2026/)
8085. [**Dynamic Layer Selection for Efficient Tone Recognition in Self-Supervised Speech Models**Saint Germes B. BENGONO OBIANG, Norbert TSOPZE, Paulin MELATAGIA YONTA*2026*](https://md.research.elamur.ai/free/en/papers/obiang-2026-dynamic-layer-selection-efficient-tone/)
8086. [**Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation**Luke Zhang, Justin Vasselli, Aditya Khan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-dynamic-meta-metrics-source-sentence/)
8087. [**Dynamic Model Switching to Mitigate Outdated Knowledge in Large Language Models**Ramakrishna Pinninti, Sabyasachi Kamila, Ayan Mazumder, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pinninti-2026-dynamic-model-switching-mitigate-outdated/)
8088. [**E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral-benchmarks/)
8089. [**E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral/)
8090. [**EDRAC: Benchmarking Arabic Dialect Reading Comprehension**Noor Abo Mokh, Kirill Chirkunov, Teresa Lynn, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mokh-2026-edrac-benchmarking-arabic-dialect-reading/)
8091. [**EduBench: A Portuguese Benchmark for Open-Ended Discursive Question Answering**Pedro Henrique Paiola, Luís Gabriel Damiati Mendes, Bruno de Oliveira Monchelato, et al.*2026*](https://md.research.elamur.ai/free/en/papers/paiola-2026-edubench-portuguese-benchmark-open-ended/)
8092. [**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/)
8093. [**Efficient universal generation in a fragment of Optimality Theory**Paul Siewert*2026*](https://md.research.elamur.ai/free/en/papers/siewert-2026-efficient-universal-generation-fragment-optimality/)
8094. [**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/)
8095. [**EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs**Ali Satvaty, Suzan Verberne, Fatih Turkmen*2026*](https://md.research.elamur.ai/free/en/papers/satvaty-2026-el-mia-quantifying-membership-inference/)
8096. [**Embedding Similarity Is Not Quality Estimation: Lessons from Replacing a Dedicated QE Model**Dimitrios Zaikis, Andrea Biondo, Matthew Dixon, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zaikis-2026-embedding-similarity-is-not-quality/)
8097. [**EmoAra: Emotion-Preserving English Speech Transcription and Cross-Lingual Translation with Arabic Text-to-Speech**Besher Hassan, Ibrahim Alsarraj, Musaab Hasan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hassan-2026-emoara-emotion-preserving-english-speech/)
8098. [**Encoding Logical Relations of Chinese Complex Sentences within the Universal Dependencies Framework**Hongpu Zhu, Hongzhi Xu*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-encoding-logical-relations-chinese-complex/)
8099. [**ENEIDE: A High Quality Silver Standard Dataset for Named Entity Recognition and Linking in Historical Italian**Cristian Santini, Sebastian Barzaghi, Paolo Sernani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/santini-2026-eneide-high-quality-silver-standard/)
8100. [**English Grammar (Wikibooks)**Wikibooks contributors*2026*](https://md.research.elamur.ai/free/en/papers/contributors-2026-english-grammar/)
8101. [**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/)
8102. [**English Word Sense Disambiguation in 2026: When the Labels Become the Bottleneck**Vassili Philippov, Amro Salman, Dmitrii Andreev, et al.*2026*](https://md.research.elamur.ai/free/en/papers/philippov-2026-english-wsd-labels/)
8103. [**Enhancing Self-Efficacy Through Gamified Learning: Evidence from Arabic Morphology (Ṣarf) Instruction in Higher Education**Abdul Ghofur, Ariga Bahrodin, Siti Durotun Naseha, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ghofur-2026-enhancing-self-efficacy-through-gamified/)
8104. [**Enhancing the Role-playing Capabilities of Reasoning-optimized Large Language Models (推理型大语言模型角色扮演能力评估与优化)**Xiachong Feng (冯夏冲), Yichong Huang (黄毅翀), Xiaocheng Feng (冯骁骋), et al.*2026*](https://md.research.elamur.ai/free/en/papers/feng-2026-enhancing-role-playing/)
8105. [**Ensemble Methods for Low-Resource Russian-Kyrgyz Machine Translation: When Diverse Models Beat Better Models**Adilet Metinov*2026*](https://md.research.elamur.ai/free/en/papers/metinov-2026-ensemble-methods-low-resource-russian/)
8106. [**Entity-Level Sentiment Analysis with Sentence Relevance Detection**Egil Rønningstad, Roman Klinger, Lilja Øvrelid, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ronningstad-2026-entity-level-sentiment-analysis-sentence/)
8107. [**Entropy-aware Masking for Masked Language Modeling**Gokul Srinivasagan, Kai Hartung, Munir Georges*2026*](https://md.research.elamur.ai/free/en/papers/srinivasagan-2026-entropy-aware-masking-masked-language/)
8108. [**eSciBench: An Extensible Scientific PDF Extraction Benchmark**Noah Tremblay Taillon, Phillippe Langlais*2026*](https://md.research.elamur.ai/free/en/papers/taillon-2026-escibench-extensible-scientific-pdf-extraction/)
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