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title: "Arts and Humanities — papers, page 85 — Elamur Research"
description: "Arts and Humanities: 9,296 papers of the Elamur Research library · page 85 of 94 · 8326–8425, the most cited first — our summary of each…"
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# 🎭 Arts and Humanities

9,296 papers · page 85 of 94 · 8326–8425 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Languages and linguistics, history, philosophy, literature, religion, music and the arts.

## Papers (9,296)

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8326. [**MaTIAS – Machine Translation to Inform Asylum Seekers: final results**July De Wilde, Anaïs Wouters, Arda Tezcan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wilde-2026-matias-machine-translation-inform-asylum/)
8327. [**MazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model**Jiaxin Du, Boulbaba Abdeljaouad, Yong Zhuang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/du-2026-mazzikaai-knowledge-based-performance-prompt/)
8328. [**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/)
8329. [**Meaning Over Morphology: A Multi-Metric Benchmark of LLMs for Bangla Dialect Translation**Soumik Deb Niloy, Subhey Sadi Rahman, Mahbub E Sobhani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/niloy-2026-meaning-over-morphology-multi-metric/)
8330. [**Meaning Representations as Variational Quantum Circuits**Tilen Gaetano Limbäck-Stokin, Tanishka A. Birdavade, Kin Ian Lo, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stokin-2026-meaning-representations-as-variational-quantum/)
8331. [**Meaning-Making Process and Error Dynamics in ChatGPT-Mediated Translation**Iulia Mihalache, María-José Varela Salinas*2026*](https://md.research.elamur.ai/free/en/papers/mihalache-2026-meaning-making-process-error-dynamics/)
8332. [**Measuring Idiomaticity in Text Embedding Models with epsilon-compositionality**Sondre Wold, Étienne Simon, Erik Velldal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wold-2026-measuring-idiomaticity-text-embedding-models/)
8333. [**Mechanistic Interpretability Meets Cognitive Linguistics: Modelling Locative Image Schemas in the Circuit Framework**Mattia Proietti, Afra Alishahi, Grzegorz Chrupała, et al.*2026*](https://md.research.elamur.ai/free/en/papers/proietti-2026-mechanistic-interpretability-meets-cognitive-linguistics/)
8334. [**MekongPhon: A Large-Scale Parallel IPA Corpus for Lao and Khmer**Ammon Shurtz, Christian Richardson, Stephen D. Richardson*2026*](https://md.research.elamur.ai/free/en/papers/shurtz-2026-mekongphon-large-scale-parallel-ipa/)
8335. [**Memorization or Lucky Guesses: Detecting Short Sequences from Copyrighted Dutch News in LLM Output**Joris Veerbeek, Kas Berendsen, Alessandra Polimeno, et al.*2026*](https://md.research.elamur.ai/free/en/papers/veerbeek-2026-memorization-or-lucky-guesses-detecting/)
8336. [**MentalMARBERT: Domain-Adaptive Pre-training and Two-Stage Fine-Tuning for Arabic Mental Health Disorders Detection**Fatimah Almalki; Areej Alhothali; Lulwah Alharigy;, Abdulrahman Aladeem*2026*](https://md.research.elamur.ai/free/en/papers/almalki-2026-mentalmarbert-domain-adaptive-pre-training/)
8337. [**Merge and Conquer: Instructing Multilingual Models by Adding Target Language Weights**Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/valero-2026-merge-conquer-instructing-multilingual-models/)
8338. [**Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance**Kentaro Ueda, François Portet, Hirohiko Suwa, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ueda-2026-merging-continual-pretraining-models-domain/)
8339. [**MesoTree: Annotated Linguistic Resources for Quantitative Comparative Linguistic Analysis and NLP in Mesoamerica**Robert Pugh, Francis Tyers, Robert Henderson*2026*](https://md.research.elamur.ai/free/en/papers/pugh-2026-mesotree-annotated-linguistic-resources-quantitative/)
8340. [**Metalinguistic negation in Jordanian Arabic: Clause-initial \<em>miš/mū \</em>as a high objection operator**Al Khalaf, Eman M.*2026*](https://md.research.elamur.ai/free/en/papers/khalaf-2026-metalinguistic-negation-jordanian-arabic-clause/)
8341. [**Metric Grammars: A usage-based grammatical formalism that supports generation, parsing and morphological innovation**Whitney Tabor, Hyosun Lee*2026*](https://md.research.elamur.ai/free/en/papers/tabor-2026-metric-grammars-usage-based-grammatical/)
8342. [**MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and Reasoning**Zimu Wang, Yuqi Wang, Tong Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-meur-benchmark-evaluating-vision-language/)
8343. [**Mimicking Neural Machine Translation History for Pedagogic Reasons**Vincent Vandeghinste*2026*](https://md.research.elamur.ai/free/en/papers/vandeghinste-2026-mimicking-neural-machine-translation-history/)
8344. [**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/)
8345. [**MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection**David M. Smiley*2026*](https://md.research.elamur.ai/free/en/papers/smiley-2026-miqrabert-regression-based-sentence-bert/)
8346. [**Modeling Changing Scientific Concepts with Complex Networks: A Case Study on the Chemical Revolution**Sofia Aguilar Valdez, Stefania Degaetano-Ortlieb*2026*](https://md.research.elamur.ai/free/en/papers/valdez-2026-modeling-changing-scientific-concepts-complex/)
8347. [**Modeling semantic association in self-paced reading with language model embeddings**Sara Møller Østergaard, Kenneth Enevoldsen, Afra Alishahi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ostergaard-2026-modeling-semantic-association-self-paced/)
8348. [**Modeling the Dalet Clitic in Historical Hebrew Texts: A New Prefix-Segmented BERT Model and Stylistic Analysis**Rachel Tal, Cheyn Shmuel Shmidman, Avi Shmidman*2026*](https://md.research.elamur.ai/free/en/papers/tal-2026-modeling-dalet-clitic-historical-hebrew/)
8349. [**Modeling the Memory-Surprisal Trade-Off over Time: Communicative Efficiency Decreases with Lexico-Grammatical Change in Scientific English**Julius Steuer, Marie-Pauline Krielke, Stefania Degaetano-Ortlieb, et al.*2026*](https://md.research.elamur.ai/free/en/papers/steuer-2026-modeling-memory-surprisal-trade-off/)
8350. [**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/)
8351. [**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/)
8352. [**MorphoFiltered-Gemini at MWE-2026 PARSEME 2.0 Subtask 1: Tackling LLM Overgeneration via Universal POS-based Constraints**Irina Moise, Sergiu Nisioi*2026*](https://md.research.elamur.ai/free/en/papers/moise-2026-morphofiltered-gemini-mwe-2026-parseme/)
8353. [**Morphological Parsing for Media Lengua: When Accessibility Matters More Than State-of-the-Art**Jesse Stewart, Olga Kriukova*2026*](https://md.research.elamur.ai/free/en/papers/stewart-2026-morphological-parsing-media-lengua-when/)
8354. [**MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation**Parker Riley, Daniel Deutsch, Mara Finkelstein, et al.*2026*](https://md.research.elamur.ai/free/en/papers/riley-2026-mqm-re-annotation-technique-collaborative/)
8355. [**mSCoRe: A Multilingual and Scalable Benchmark for Skill-based Commonsense Reasoning**Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen*2026*](https://md.research.elamur.ai/free/en/papers/ngo-2026-mscore-multilingual-scalable-benchmark-skill/)
8356. [**MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues**Yaning Pan, Qianqian Xie, Guohui Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pan-2026-mt-video-bench-holistic-video/)
8357. [**Mu'jam Arriyadh: A Comprehensive Lexicon for Contemporary Arabic Language**Afrah A. Altamimi, Abdulrahman Alosaimy, Halah Munif Alharbi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/altamimi-2026-mu-jam-arriyadh-comprehensive-lexicon/)
8358. [**MUC-4 Revisited: Document-level Event Analysis beyond Span-based Arguments**Helene Bøsei Olsen, Erik Velldal, Lilja Øvrelid*2026*](https://md.research.elamur.ai/free/en/papers/olsen-2026-muc-4-revisited-document-level/)
8359. [**MUDiC: A Dataset for Multi-User Dialogue and Collaboration in Chatbot Interaction**Nicolas Wagner, Cristina Luna Jimenez, Elisabeth Andre, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wagner-2026-mudic-dataset-multi-user-dialogue/)
8360. [**Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation**Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shen-2026-multi-agent-debate-machine-translation/)
8361. [**Multi-dimensional Evaluation of Character-Authentic Dialogue Models Learned from Question-Answer Data**Atsushi Otsuka, Kazuya Matsuo, Kenta Hama, et al.*2026*](https://md.research.elamur.ai/free/en/papers/otsuka-2026-multi-dimensional-evaluation-character-authentic/)
8362. [**Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs**Hunzalah Hassan Bhatti, Firoj Alam, Shammur Absar Chowdhury*2026*](https://md.research.elamur.ai/free/en/papers/bhatti-2026-multi-task-instruction-tuning-data/)
8363. [**MultiCoS: A Multilingual Dataset of Connective Semantics with Context–Sentence Compatibility**Anne Mucha, Ciyang Qing, Wataru Uegaki*2026*](https://md.research.elamur.ai/free/en/papers/mucha-2026-multicos-multilingual-dataset-connective-semantics/)
8364. [**Multilingual KokoroChat: A Multi-LLM Ensemble Translation Method for Creating a Multilingual Counseling Dialogue Dataset**Ryoma Suzuki, Zhiyang Qi, Michimasa Inaba*2026*](https://md.research.elamur.ai/free/en/papers/suzuki-2026-multilingual-kokorochat-multi-llm-ensemble/)
8365. [**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/)
8366. [**Multimodal Entrainment and Feedback in Online Group Meetings**Patrizia Paggio, Manex Agirrezabal, Giulia Di Cristina, et al.*2026*](https://md.research.elamur.ai/free/en/papers/paggio-2026-multimodal-entrainment-feedback-online-group/)
8367. [**Multimodal LLMs Do Not Compose Skills Optimally across Modalities**Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune*2026*](https://md.research.elamur.ai/free/en/papers/ontalvilla-2026-multimodal-llms-do-not-compose/)
8368. [**Multimodal Reference by Means of the Pronoun We and Hand Gestures in a Novel Corpus of Parliamentary Opening Debates**Costanza Navarretta*2026*](https://md.research.elamur.ai/free/en/papers/navarretta-2026-multimodal-reference-means-pronoun-we/)
8369. [**MURAD: A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset**Serry Sibaee, Yasser Alhabashi, Nadia Sibai, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sibaee-2026-murad-large-scale-multi-domain/)
8370. [**MUSIA: Multilingual Story Illustration Corpus for Cross-Cultural Alignment and Generation**Krishna Tewari, Supriya Chanda, Nirmit Patil, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tewari-2026-musia-multilingual-story-illustration-corpus/)
8371. [**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/)
8372. [**Named Entity Recognition for Persian Literary Text: A Case Study on The Little Prince**Minoo Nassajian, Joakim Nivre, Daniel Zeman*2026*](https://md.research.elamur.ai/free/en/papers/nassajian-2026-named-entity-recognition-persian-literary/)
8373. [**NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language Inference**Matheus Westhelle, Viviane Moreira*2026*](https://md.research.elamur.ai/free/en/papers/westhelle-2026-negnli-br-brazilian-portuguese-benchmark/)
8374. [**Nepali Lemmatization with Multilingual Transformers: Intrinsic and Extrinsic Evaluation in a Low-Resource Setting**Sunil Regmi, Sundeep Dawadi, Bal Krishna Bal*2026*](https://md.research.elamur.ai/free/en/papers/regmi-2026-nepali-lemmatization-multilingual-transformers-intrinsic/)
8375. [**Non-literal Meaning Representation in the Brain during Naturalistic Listening**Zhengwu Ma, Yuhan Huang, Chengcheng Wang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-non-literal-meaning-representation-brain/)
8376. [**NormaTex-MapSNOMED: Bridging the Gap Between Brazilian Portuguese Clinical Narratives and SNOMED CT**Isabela Araujo, Claudia Moro, Layslla Martinez*2026*](https://md.research.elamur.ai/free/en/papers/araujo-2026-normatex-mapsnomed-bridging-gap-between/)
8377. [**Nos_Brais-GL: A FAIR Galician TTS Corpus for Neural Speech Synthesis**Adina Ioana Vladu, Antonio Moscoso Sánchez, Carmen Magariños, et al.*2026*](https://md.research.elamur.ai/free/en/papers/vladu-2026-nos-brais-gl-fair-galician/)
8378. [**NRD: A Hybrid Disentanglement Framework for Mitigating Interference in Multilingual Machine Translation**Jiarui Zhang, Yifan Deng*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-nrd-hybrid-disentanglement-framework-mitigating/)
8379. [**Nuha-Speech: Building General-Purpose Arabic Speech-LLMs**Yingzhi Wang, Reem Alhazzani, Muhammad Alqurishi*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-nuha-speech-building-general-purpose/)
8380. [**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/)
8381. [**Obscuring Data Contamination Through Translation: Evidence from Arabic Corpora**Chaymaa Abbas, Nour Shamaa, Mariette Awad*2026*](https://md.research.elamur.ai/free/en/papers/abbas-2026-obscuring-data-contamination-through-translation/)
8382. [**Old English (Wikibooks, fetched 2026-10-17)**Wikibooks contributors*2026*](https://md.research.elamur.ai/free/en/papers/contributors-2026-old-english/)
8383. [**Omnivorous Agreement, like Uyghur Backness Harmony, is a Challenge for Tier-Based Strict Locality**Allison Verbil, Tim Hunter*2026*](https://md.research.elamur.ai/free/en/papers/verbil-2026-omnivorous-agreement-like-uyghur-backness/)
8384. [**On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation**Weichuan Wang, Mingyang Liu, Chen Ma, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/)
8385. [**On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of Quechua Collao**Pool Pocco, Arturo Oncevay*2026*](https://md.research.elamur.ai/free/en/papers/pocco-2026-robustness-morphosyntactic-transformation-large-language/)
8386. [**On the Structure of Address in Multi-Party Dialogue: From Discrete Labels to Continuous Levels**Taiga Mori, Koji Inoue, Divesh Lala, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mori-2026-structure-address-multi-party-dialogue/)
8387. [**On the Use of LLMs for Specialised Terminology: A Good Alternative to Corpora?**Joachim Minder, Guillaume Wisniewski, Natalie Kübler*2026*](https://md.research.elamur.ai/free/en/papers/minder-2026-use-llms-specialised-terminology-good/)
8388. [**One Size Does Not Fit All: Why EU Legislative Translation Demands Domain-Specific Fine-Tuning of LLMs**Valerio Lorini, Paula Vlaic, Ulascan Akbulut, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lorini-2026-one-size-does-not-fit/)
8389. [**One Word Is Not Enough: Simple Prompts Improve Word Embeddings**Rajeev Ranjan*2026*](https://md.research.elamur.ai/free/en/papers/ranjan-2026-one-word-is-not-enough/)
8390. [**Onomasiological Sense Alignment Across Dialect Dictionaries. A Taxonomy-Constrained LLM Classification**Nathalie Mederake, Nico Urbach, Hanna Fischer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mederake-2026-onomasiological-sense-alignment-across-dialect/)
8391. [**Ontology-Graph Dual-Agent Reinforcement Learning Method for Temporal Knowledge Graph Reasoning (面向时序知识图谱推理的本体-图谱双智能体强化学习方法)**Yuehang Si (司悦航), Zefan Zeng (曾泽凡), Boyan Wang (王博岩), et al.*2026*](https://md.research.elamur.ai/free/en/papers/si-2026-ontology-graph-dual/)
8392. [**Open English NameNet: Extending English Wordnet with Names**John P. McCrae*2026*](https://md.research.elamur.ai/free/en/papers/mccrae-2026-open-english-namenet/)
8393. [**Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models**Gyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee*2026*](https://md.research.elamur.ai/free/en/papers/shin-2026-open-access-dataset-acceptability-ratings/)
8394. [**OpenSubtitles2024: A Massively Parallel Dataset of Movie Subtitles for MT Development and Evaluation**Joerg Tiedemann, Hengyu Luo*2026*](https://md.research.elamur.ai/free/en/papers/tiedemann-2026-opensubtitles2024-massively-parallel-dataset-movie/)
8395. [**Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language Models**Bryan E. Tuck, Rakesh Verma*2026*](https://md.research.elamur.ai/free/en/papers/tuck-2026-orthographic-constraint-satisfaction-human-difficulty/)
8396. [**PAIR: A Pilot Dataset for Dual Perspective-based Video-Grounded Dialogue and Reconciliation**Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.*2026*](https://md.research.elamur.ai/free/en/papers/watson-2026-pair-pilot-dataset-dual-perspective/)
8397. [**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/)
8398. [**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/)
8399. [**Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement**Ziyue Yan, Hongying Zan, Xinglin Lyu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-paraphrasing-as-zero-shot-translation/)
8400. [**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/)
8401. [**Parsing Nheengatu: Performance Gains for a Brazilian Indigenous Universal Dependencies Treebank**Dominick Maia Alexandre, Leonel Figueiredo de Alencar*2026*](https://md.research.elamur.ai/free/en/papers/alexandre-2026-parsing-nheengatu-performance-gains-brazilian/)
8402. [**PEI at #SMM4H-HeaRD 2026: Enhancing Patient Metadata Detection via Hypothesis-Conditioned Classification and Paraphrase-Based Data Augmentation**Farnaz Zeidi, Roman Christof, Farnoush Zeidi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeidi-2026-pei-smm4h-heard-2026-enhancing/)
8403. [**Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-Making**Katsumasa Yoshikawa, Junya Takayama, Takato Yamazaki*2026*](https://md.research.elamur.ai/free/en/papers/yoshikawa-2026-persona-aware-evaluation-cognitive-bias/)
8404. [**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/)
8405. [**Phonological Changes in Classical Arabic to Modern Arabic: A Historical Review**Iis Susiawati, Mustaien Billah, Rizka AlFajr, et al.*2026*](https://md.research.elamur.ai/free/en/papers/susiawati-2026-phonological-changes-classical-arabic-modern/)
8406. [**Phonological Processes as Modal Transductions**Tatevik Yolyan, Jesse Comer*2026*](https://md.research.elamur.ai/free/en/papers/yolyan-2026-phonological-processes-as-modal-transductions/)
8407. [**POLAR: A Corpus of Questions, Responses and Argumentation in Polish Political Radio Discourse**Daniel Ziembicki, Aleksandra Zwierzchowska, Ewelina Sobol, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ziembicki-2026-polar-corpus-questions-responses-argumentation/)
8408. [**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/)
8409. [**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/)
8410. [**Predict and Fix: A Unified Model for Translation Quality Estimation and Post-Editing**Maciej Modrzejewski, Yash Bhaskar, Chinmay Pateria*2026*](https://md.research.elamur.ai/free/en/papers/modrzejewski-2026-predict-fix-unified-model-translation/)
8411. [**Predicting States of Understanding in Explanatory Interactions Using Cognitive Load-Related Linguistic Cues**Yu Wang, Olcay Türk, Angela Grimminger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-predicting-states-understanding-explanatory-interactions/)
8412. [**Predicting Topic (Co-)Occurrence Using Topic Networks Built from the Project Gutenberg Corpus**Bhuvanesh Verma, Alexander Mehler*2026*](https://md.research.elamur.ai/free/en/papers/verma-2026-predicting-topic-co-occurrence-topic/)
8413. [**ProBel: Propaganda Detection with Techniques, Spans, and Explanations**Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Elisa Sartori, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kmainasi-2026-probel-propaganda-detection-techniques-spans/)
8414. [**Probing Discrete Speech Tokens of Spoken Language Models**Sven Naber, Julia Koch, Pranav Singh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/naber-2026-probing-discrete-speech-tokens-spoken/)
8415. [**Probing the Attention Representation of Filler-Gap Dependency in Transformers**Ruoqing Yao, Pranav Anand*2026*](https://md.research.elamur.ai/free/en/papers/yao-2026-probing-attention-representation-filler-gap/)
8416. [**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/)
8417. [**Proficiency-Controlled Text Simplification in European Portuguese: A Preliminary Study using Prompting Approaches**Eugénio Ribeiro, David Antunes, Nuno Mamede, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ribeiro-2026-proficiency-controlled-text-simplification-european/)
8418. [**Push and Pull: Training Sentence Encoders with Contrastive Losses for Distance-Based Multi-Label Text Classification**Jens Van Nooten, Andriy Kosar*2026*](https://md.research.elamur.ai/free/en/papers/nooten-2026-push-pull-training-sentence-encoders/)
8419. [**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/)
8420. [**Quality and Comprehensibility of Interlingual Subtitles Produced by Humans or with Machines**Lara Shoana Schlüter, Ekaterina Lapshinova-Koltunski, Sylvia Jaki*2026*](https://md.research.elamur.ai/free/en/papers/schluter-2026-quality-comprehensibility-interlingual-subtitles-produced/)
8421. [**Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models**Arash Asgari, Huan Wu, Amirreza Naziri, et al.*2026*](https://md.research.elamur.ai/free/en/papers/asgari-2026-quantifying-metric-model-agreement-bias/)
8422. [**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/)
8423. [**Quantifying the cross-linguistic effects of syncretism on agreement attraction**Utku Turk, Eva Neu*2026*](https://md.research.elamur.ai/free/en/papers/turk-2026-quantifying-cross-linguistic-effects-syncretism/)
8424. [**Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation**Klaudia Thellmann, Bernhard Stadler, Michael Färber, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thellmann-2026-quantifying-impact-translation-errors-multilingual/)
8425. [**Quantum Compositional NLP for Arabic: Grammar, Morphology, and Word Sense in Circuit Topology**Wajahath Mohammed*2026*](https://md.research.elamur.ai/free/en/papers/mohammed-2026-quantum-compositional-nlp-arabic-grammar/)

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