---
title: "Language and Linguistics — papers, page 85 — Elamur Research"
description: "Language and Linguistics: 9,206 papers of the Elamur Research library · page 85 of 93 · 8326–8425, the most cited first — our summary of…"
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# 🗣️ Language and Linguistics

9,206 papers · page 85 of 93 · 8326–8425 · 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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8326. [**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/)
8327. [**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/)
8328. [**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/)
8329. [**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/)
8330. [**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/)
8331. [**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/)
8332. [**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/)
8333. [**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/)
8334. [**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/)
8335. [**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/)
8336. [**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/)
8337. [**Old English (Wikibooks, fetched 2026-10-17)**Wikibooks contributors*2026*](https://md.research.elamur.ai/free/en/papers/contributors-2026-old-english/)
8338. [**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/)
8339. [**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/)
8340. [**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/)
8341. [**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/)
8342. [**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/)
8343. [**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/)
8344. [**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/)
8345. [**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/)
8346. [**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/)
8347. [**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/)
8348. [**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/)
8349. [**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/)
8350. [**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/)
8351. [**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/)
8352. [**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/)
8353. [**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/)
8354. [**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/)
8355. [**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/)
8356. [**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/)
8357. [**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/)
8358. [**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/)
8359. [**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/)
8360. [**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/)
8361. [**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/)
8362. [**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/)
8363. [**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/)
8364. [**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/)
8365. [**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/)
8366. [**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/)
8367. [**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/)
8368. [**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/)
8369. [**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/)
8370. [**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/)
8371. [**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/)
8372. [**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/)
8373. [**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/)
8374. [**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/)
8375. [**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/)
8376. [**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/)
8377. [**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/)
8378. [**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/)
8379. [**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/)
8380. [**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/)
8381. [**Question and Response Dynamics in Public Service Encounters**Wassiliki Siskou, Ingrid Espinoza, Laurin Friedrich, et al.*2026*](https://md.research.elamur.ai/free/en/papers/siskou-2026-question-response-dynamics-public-service/)
8382. [**Questionnaire Meets LLM: A Benchmark and Empirical Study of Structural Skills for Understanding Questions and Responses**Duc-Hai Nguyen, Vijayakumar Nanjappan, Barry O'Sullivan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-questionnaire-meets-llm-benchmark-empirical/)
8383. [**Qur'anic Readings and Modern Arabic Dialects: A Descriptive-Comparative Linguistic Study**Rushdi Al Sabahi, Mariam Elbanna, Ainur Rhain*2026*](https://md.research.elamur.ai/free/en/papers/sabahi-2026-qur-anic-readings-modern-arabic/)
8384. [**QuranicMMLU: A Cognitively-Aware Benchmark for Evaluating Generative AI Solutions on Quranic Linguistic Knowledge**Rawan El Ghali; Umm Kulsoom; Anas Madkoor; Dima Faris Alsaudi; Roaa Abdelmagid; Roaa Ibrahim; Raghad Mousa; Hamza Aljaji; Abdullah Khanafer; Abdallah Alkanani; Salah Feras Alali; Rawan Khaled Mohamed;, Ehsaneddin Asgari*2026*](https://md.research.elamur.ai/free/en/papers/ghali-2026-quranicmmlu-cognitively-aware-benchmark-evaluating/)
8385. [**R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language Models**Julian Schelb, Orr Borin, David Garcia, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schelb-2026-r-u-psycho-framework-robust/)
8386. [**Rating-based property axes: Agentivity and split intransitivity**Eva Neu, Brian Dillon, Katrin Erk*2026*](https://md.research.elamur.ai/free/en/papers/neu-2026-rating-based-property-axes-agentivity/)
8387. [**RBR: RAG-Based Open-Domain Question Answering Using a Ranking Approach to Document Retrieval**Priyatam Sai Naravajhula, Vincent Ng*2026*](https://md.research.elamur.ai/free/en/papers/naravajhula-2026-rbr-rag-based-open-domain/)
8388. [**Reading Time in the Wild: An Assessment of Readability Predictors Based on Naturally-Observed Reading Times**Sijbren van Vaals, Rik van Noord, Malvina Nissim*2026*](https://md.research.elamur.ai/free/en/papers/vaals-2026-reading-time-wild-assessment-readability/)
8389. [**Reason-to-Learn (R2L): Multi-Agent Knowledge Distillation for Lightweight LLMs in Sentiment Analysis**Le-Huy Tu, Quan Nguyen, Vincent NGUYEN, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tu-2026-reason-learn-r2l-multi-agent/)
8390. [**Reasoning About Gender: How Source Text Strategies Impact Italian–to-German Machine Translation Beyond the Binary**Paolo Di Natale, Laura Schlutter, Elena Chiocchetti, et al.*2026*](https://md.research.elamur.ai/free/en/papers/natale-2026-reasoning-about-gender-how-source/)
8391. [**Reasoning as Supportive Context for Machine Translation: A Case Study on Hindi to Bengali Language Pair**Kshetrimayum Boynao Singh, Saksham Singh, Partha Pakray, et al.*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-reasoning-as-supportive-context-machine/)
8392. [**Reasoning Graph-Structured Question Answering: Datasets and Insights from LLM Benchmarking**Khin Yone, Devasha Trivedi, Anish Pahilajani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yone-2026-reasoning-graph-structured-question-answering/)
8393. [**Rebelòt: Datasets and Token-Level Language Identification for Lombard-Italian-English Code-Mixing**Edoardo Signoroni, Emma Bednaříková, Pavel Rychly*2026*](https://md.research.elamur.ai/free/en/papers/signoroni-2026-rebelot-datasets-token-level-language/)
8394. [**Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展)**Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zheng-2026-recent-advances-text/)
8395. [**Redefining Machine Simultaneous Interpretation: From Incremental Translation to Human-Like Strategies**Qianen Zhang, Zeyu Yang, Satoshi Nakamura*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-redefining-machine-simultaneous-interpretation-incremental/)
8396. [**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/)
8397. [**Regional Variation in the Performance of ASR Models on Croatian and Serbian**Tanja Samardžić, Peter Rupnik, Nikola Ljubešić*2026*](https://md.research.elamur.ai/free/en/papers/samardzic-2026-regional-variation-performance-asr-models/)
8398. [**Regression-Tested Compositional Semantics: A Graphical Development Environment for Glue and Description-by-Analysis**Mark-Matthias Zymla, Kascha Kruschwitz*2026*](https://md.research.elamur.ai/free/en/papers/zymla-2026-regression-tested-compositional-semantics-graphical/)
8399. [**RelEx-PT: A Portuguese Sentence-Level Relation Extraction Dataset**Tomás Pinto, Catarina Silva, Hugo Goncalo Oliveira*2026*](https://md.research.elamur.ai/free/en/papers/pinto-2026-relex-pt-portuguese-sentence-level/)
8400. [**ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion**Maxim Melichov, Yakov Kolani, Morris Alper*2026*](https://md.research.elamur.ai/free/en/papers/melichov-2026-renikud-audio-supervised-hebrew-grapheme/)
8401. [**Rethinking Evaluation in Retrieval-Augmented Personalized Dialogue: A Cognitive and Linguistic Perspective**Tianyi Zhang, David Traum*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-rethinking-evaluation-retrieval-augmented-personalized/)
8402. [**Rethinking Gender Annotation for Bias Evaluation in Machine Translation: Can LLMs Improve Reliability?**Chiara Manna, Argentina Anna Rescigno, Eva Vanmassenhove*2026*](https://md.research.elamur.ai/free/en/papers/manna-2026-rethinking-gender-annotation-bias-evaluation/)
8403. [**Rethinking Role-Playing Evaluation: Anonymous Benchmarking and A Systematic Study of Personality Effects**Ji-Lun Peng, Yun-Nung Chen*2026*](https://md.research.elamur.ai/free/en/papers/peng-2026-rethinking-role-playing-evaluation-anonymous/)
8404. [**Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning**Maggie Mi, Golzar Atefi, Atsuki Yamaguchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mi-2026-rethinking-idiomaticity-decomposability-hypothesis-evidence/)
8405. [**Rethinking the Relationship between the Power Law and Hierarchical Structures**Kai Nakaishi, Ryo Yoshida, Kohei Kajikawa, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakaishi-2026-rethinking-relationship-between-power-law/)
8406. [**Retrieval-augmented Chain-of-thought Prompting Method for Chinese Frame Semantic Parsing (基于检索增强思维提示的汉语框架语义解析方法)**Yingxu Li (李迎旭), Tao Chen (陈涛), Binyang Li (李斌阳), et al.*2026*](https://md.research.elamur.ai/free/en/papers/li-2026-retrieval-augmented-chain/)
8407. [**Retrieving Responses Useful as References in Counseling via LLM-Generated Structurally Analogous Dialogues**Yu Nakagawa, Nozomu Ikeda, Kotaro Funakoshi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakagawa-2026-retrieving-responses-useful-as-references/)
8408. [**Revisiting the syntax of imperatives in Yemeni Arabic: An Agree across phases approach**Mohammed Q. Shormani*2026*](https://md.research.elamur.ai/free/en/papers/shormani-2026-revisiting-syntax-imperatives-yemeni-arabic/)
8409. [**Roles of Predictability and Acoustic Distance in Sound Discrimination via Contrastive Learning**Shuhao Zhang, Youngah Do*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-roles-predictability-acoustic-distance-sound/)
8410. [**Romanized Arabic Across Dialects: Views, Usage Patterns, and Linguistic Variation**Amr Keleg, Ahmed Amine Ben Abdallah, Taha Yassine, et al.*2026*](https://md.research.elamur.ai/free/en/papers/keleg-2026-romanized-arabic-across-dialects-views/)
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8416. [**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/)
8417. [**Same-Language Subtitles for Low-resource Languages: A Case of Bundelkhandi**Anirudh Pradhan, Ayushi Pandey, Divyansh Kushwaha, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pradhan-2026-same-language-subtitles-low-resource/)
8418. [**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/)
8419. [**Saudi ASWAT: A Large-Scale Corpus of Spontaneous Saudi Arabic Speech**Abdullah I. Alharbi, Afrah A. Altamimi, Muneera Alhoshan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alharbi-2026-saudi-aswat-large-scale-corpus/)
8420. [**SAVI: Web-based Multilayered Semantic Annotation Validation Interface**Sashank Tatavolu, Soma Paul, Pratibha Rani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tatavolu-2026-savi-web-based-multilayered-semantic/)
8421. [**Scalable Video-Based Search in the VGT Dictionary**Toon Vandendriessche, Caro Brosens, Hannes De Durpel, et al.*2026*](https://md.research.elamur.ai/free/en/papers/vandendriessche-2026-scalable-video-based-search-vgt/)
8422. [**Scare Quotes as Markers of “Questionable” Word Usages and Misalignment in Conversation: An Annotation Study**Aina Garí Soler, Juan Carlos Zevallos Huaco, Matthieu Labeau, et al.*2026*](https://md.research.elamur.ai/free/en/papers/soler-2026-scare-quotes-as-markers-questionable/)
8423. [**Scientific Article Section Classification (SASC) Dataset**Nicolau Duran-Silva, Julian Moreno-Schneider, César Parra-Rojas, et al.*2026*](https://md.research.elamur.ai/free/en/papers/silva-2026-scientific-article-section-classification-sasc/)
8424. [**Scoring the Translation: On Target Automatic Keyword-Based Evaluation of Machine Translation in the Sports Domain**Steinþór Steingrímsson, Einar Freyr Sigurðsson*2026*](https://md.research.elamur.ai/free/en/papers/steingrimsson-2026-scoring-translation-target-automatic-keyword/)
8425. [**Script Correction and Synthetic Pivoting: Adapting Tencent HY-MT for Low-Resource Turkic Translation**Bolgov Maxim*2026*](https://md.research.elamur.ai/free/en/papers/maxim-2026-script-correction-synthetic-pivoting-adapting/)

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