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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 8 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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701. [**DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised Distillation**Tom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rohr-2026-deepicd-r1-medical-reasoning-through/)
702. [**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/)
703. [**A Binary Problem in Binary QA: Diverse LLMs or Diverse Question Interpretations? That Is the Ensembling Question**Rafael Rosales, Santiago Miret*2026*](https://md.research.elamur.ai/free/en/papers/rosales-2026-binary-problem-binary-qa-diverse/)
704. [**Supplementary Resources and Analysis for Automatic Speech Recognition Systems Trained on the Loquacious Dataset**Nick Rossenbach, Robin Schmitt, Tina Raissi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rossenbach-2026-supplementary-resources-analysis-automatic-speech/)
705. [**The Construction of a Mixe Variant Parallel Corpus**Ivan Vladimir Meza Ruiz, Delfino Zacarias Marquez, Martha Elba Ramírez Andrés, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ruiz-2026-construction-mixe-variant-parallel-corpus/)
706. [**Examining Algebraic Recombination for Compositional Generalisation**Joaquin Cardona Ruiz, Antske Fokkens, Lucia Donatelli*2026*](https://md.research.elamur.ai/free/en/papers/ruiz-2026-examining-algebraic-recombination-compositional-generalisation/)
707. [**Listening for Ideology: Automatic Analysis of Character Speech in Historical Nazi Propaganda Films**Nicolas Ruth, Manuel Burghardt, Andreas Niekler*2026*](https://md.research.elamur.ai/free/en/papers/ruth-2026-listening-ideology-automatic-analysis-character/)
708. [**When Words Don't Mean What They Say: Figurative Understanding in Bengali Idioms**Adib Sakhawat, Shamim Ara Parveen, Md Ruhul Amin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sakhawat-2026-when-words-don-t-mean/)
709. [**Insights from Romanized Manipuri Social Media Text: A Transliteration Corpus and Variation Analysis**Maisang Kamei Salice, Sanasam Ranbir Singh, Priyankoo Sarmah*2026*](https://md.research.elamur.ai/free/en/papers/salice-2026-insights-romanized-manipuri-social-media/)
710. [**University Speaking for Everyone: Assessing Changes in Italian Higher Education Statutes toward Gender-Inclusive Language**Sebastiano Vecellio Salto, Camilla Casula, Alessio Palmero Aprosio, et al.*2026*](https://md.research.elamur.ai/free/en/papers/salto-2026-university-speaking-everyone-assessing-changes/)
711. [**Consistency of LLMs to Comparative Statements in Mathematical Reasoning Tasks**Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/san-2026-consistency-llms-comparative-statements-mathematical/)
712. [**Align and Shine: Building High-quality Sentence-aligned Corpora for Multilingual Text Simplification**Luis Kenji Hilasaca Sanchez, Nouran Khallaf, Serge Sharoff*2026*](https://md.research.elamur.ai/free/en/papers/sanchez-2026-align-shine-building-high-quality/)
713. [**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/)
714. [**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/)
715. [**Small Language Models for Less-Resourced Languages in a Real-World Scenario: The Case for Catalan**Roser Saurí, Josep Sànchez-Ferreres, Lluis Padro, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sauri-2026-small-language-models-less-resourced/)
716. [**GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and Generators**Manuel Schaaf, Kevin Bönisch, Alexander Mehler*2026*](https://md.research.elamur.ai/free/en/papers/schaaf-2026-ghostwriter-hidden-ai-generated-texts/)
717. [**CoBra: A Compound Branching Resource for Nominal Triconstituent Compounds in English and German**Carmen Schacht, Isabell Landwehr, Diana Davidson, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schacht-2026-cobra-compound-branching-resource-nominal/)
718. [**Investigating Reasoning with Hypotheses: The RIP2 Corpus**Ella Schad, Clara Seyfried, Chris Reed*2026*](https://md.research.elamur.ai/free/en/papers/schad-2026-investigating-reasoning-hypotheses-rip2-corpus/)
719. [**GENIUS Keylog Corpus - a German High School Student Corpus with Keystroke Logging Data**Nils-Jonathan Schaller, Thorben Jansen, Lars Höft, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schaller-2026-genius-keylog-corpus-german-high/)
720. [**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/)
721. [**FormosanMT: A Multilingual Parallel Corpus of the Formosan Language Family**Hunter Scheppat, Joshua K. Hartshorne, Sema Koc, et al.*2026*](https://md.research.elamur.ai/free/en/papers/scheppat-2026-formosanmt-multilingual-parallel-corpus-formosan/)
722. [**GePaDeSE: A New Resource for Clause-Level Aspect in German Parliamentary Debates**Julian Schlenker, Ines Rehbein, Lilly Brauner, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schlenker-2026-gepadese-new-resource-clause-level/)
723. [**Causal Inferences Are Driven by Noun Concept Specificity Evidence from Self-Paced Reading and Large Language Model Surprisal**Fabian Schlotterbeck, Raphael Barth*2026*](https://md.research.elamur.ai/free/en/papers/schlotterbeck-2026-causal-inferences-are-driven-noun/)
724. [**HotelCheckSpan: A Benchmark Dataset for LLM Faithfulness**Patricia Schmidtova, Ondrej Dusek, Saad Mahamood*2026*](https://md.research.elamur.ai/free/en/papers/schmidtova-2026-hotelcheckspan-benchmark-dataset-llm-faithfulness/)
725. [**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/)
726. [**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/)
727. [**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/)
728. [**A Sociophonetic Analysis of Racial Bias in Commercial ASR Systems Using the Pacific Northwest English Corpus**Michael Scott, Siyu Liang, Alicia Wassink, et al.*2026*](https://md.research.elamur.ai/free/en/papers/scott-2026-sociophonetic-analysis-racial-bias-commercial/)
729. [**A Scalable Pipeline for Novelty Detection in Skill Extraction Using Large Language Models**Gian Seifert, Simon Clematide*2026*](https://md.research.elamur.ai/free/en/papers/seifert-2026-scalable-pipeline-novelty-detection-skill/)
730. [**S-GRADES – Studying Generalization of Student Response Assessments in Diverse Evaluative Settings**Tasfia Seuti, Sagnik Ray Choudhury*2026*](https://md.research.elamur.ai/free/en/papers/seuti-2026-s-grades-studying-generalization-student/)
731. [**Decomposing Sign Language Movements: A Multi-Band Visualization Method for Articulatory Analysis**Antonio F. G. Sevilla, José María Lahoz-Bengoechea*2026*](https://md.research.elamur.ai/free/en/papers/sevilla-2026-decomposing-sign-language-movements-multi/)
732. [**A Benchmark Dataset and Comparative Evaluation of Phonemized and Romanized Urdu for Text-to-Speech**M Kaab Bin Shahid, Muhammed Izharuddin*2026*](https://md.research.elamur.ai/free/en/papers/shahid-2026-benchmark-dataset-comparative-evaluation-phonemized/)
733. [**Scripting History: A Diachronic Urdu Text and Image Corpus from the 18Th to 19Th Centuries**Sana Shams, Sahar Rauf, Asad Mustafa, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shams-2026-scripting-history-diachronic-urdu-text/)
734. [**The Sensorimotor Norms for the Chinese Classifiers**Yimei Shao, Yu-Yin Hsu, Chu-Ren Huang*2026*](https://md.research.elamur.ai/free/en/papers/shao-2026-sensorimotor-norms-chinese-classifiers/)
735. [**Task-Lens: Cross-Task Utility Based Speech Dataset Profiling for Low-Resource Indian Languages**Swati Sharma, Divya V. Sharma, Anubha Gupta*2026*](https://md.research.elamur.ai/free/en/papers/sharma-2026-task-lens-cross-task-utility/)
736. [**STAR-IL: A Dataset for Style-Aware Machine Translation of Product Reviews in Indian Languages**Ketaki Shetye, Dipti Misra Sharma, Parameswari Krishnamurthy*2026*](https://md.research.elamur.ai/free/en/papers/shetye-2026-star-il-dataset-style-aware/)
737. [**J-ClinicalBench: A Benchmark for Evaluating Large Language Models on Practical Clinical Tasks in Japanese**Seiji Shimizu, Tomohiro Nishiyama, HISADA Shohei, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shimizu-2026-j-clinicalbench-benchmark-evaluating-large/)
738. [**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/)
739. [**Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+**Mason Shipton, York Hay Ng, Aditya Khan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shipton-2026-simple-additions-substantial-gains-expanding/)
740. [**JFC-Recipe: A Dataset for Nutrient Estimation from Japanese User-Generated Cooking Recipes**Keisuke Shirai, Yoko Yamakata, Hirotaka Kameko, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shirai-2026-jfc-recipe-dataset-nutrient-estimation/)
741. [**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/)
742. [**Voices across Decades: A Multimodal Diachronic Corpus of German Bundestag Debates (GerParlDia-MM)**Ingo Siegert*2026*](https://md.research.elamur.ai/free/en/papers/siegert-2026-voices-across-decades-multimodal-diachronic/)
743. [**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/)
744. [**Are Language Models Borrowing-Blind? A Multilingual Evaluation of Loanword Identification across 10 Languages**Merilin Sousa Silva, Sina Ahmadi*2026*](https://md.research.elamur.ai/free/en/papers/silva-2026-are-language-models-borrowing-blind/)
745. [**Benchmarking Portuguese Open Information Extraction**Gabriel Silva, Mário Rodrigues, António Teixeira, et al.*2026*](https://md.research.elamur.ai/free/en/papers/silva-2026-benchmarking-portuguese-open-information-extraction/)
746. [**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/)
747. [**Is Semi-Automatic Transcription Useful in Corpus Creation? Preliminary Considerations on the KIParla Corpus**Martina Simonotti, Ludovica Pannitto, Eleonora Zucchini, et al.*2026*](https://md.research.elamur.ai/free/en/papers/simonotti-2026-is-semi-automatic-transcription-useful/)
748. [**BRAGD: Constrained Multi-Label POS Tagging for Faroese**Annika Simonsen, Barbara Scalvini, Uni Johannesen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/simonsen-2026-bragd-constrained-multi-label-pos/)
749. [**AssamLegalTrans: A Parallel Corpus, Benchmark and Analysis for English-Assamese Machine Translation of Legal Judgments**Telem Joyson Singh, Hemanta Baruah, Sanasam Ranbir Singh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-assamlegaltrans-parallel-corpus-benchmark-analysis/)
750. [**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/)
751. [**Is Cross-Lingual Transfer in Bilingual Models Human-Like? A Study with Overlapping Word Forms in Dutch and English**Iza Škrjanec, Irene Elisabeth Winther, Vera Demberg, et al.*2026*](https://md.research.elamur.ai/free/en/papers/skrjanec-2026-is-cross-lingual-transfer-bilingual/)
752. [**Extending Czech Aspect-Based Sentiment Analysis with Opinion Terms: Dataset and LLM Benchmarks**Jakub Šmíd, Pavel Priban, Pavel Kral*2026*](https://md.research.elamur.ai/free/en/papers/smid-2026-extending-czech-aspect-based-sentiment/)
753. [**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/)
754. [**Knowledge-Infused Hierarchy-Aware Emotion Recognition in Code-mixed Mental Health Counseling Conversations**Aseem Srivastava, Kushagra Mittal, Anusha Tiwari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/srivastava-2026-knowledge-infused-hierarchy-aware-emotion/)
755. [**Glossed Data in Northern Interior Salish**Anna Stacey*2026*](https://md.research.elamur.ai/free/en/papers/stacey-2026-glossed-data-northern-interior-salish/)
756. [**GreekCommonGen: A Benchmark for Evaluating Generative Commonsense Reasoning in Greek**Aristotelis Stamopoulos, Dimitrios Galanis*2026*](https://md.research.elamur.ai/free/en/papers/stamopoulos-2026-greekcommongen-benchmark-evaluating-generative-commonsense/)
757. [**Integrating TEI, NER/NEL, Textometry, and Linked Data for a Semantically Enriched Interview Corpus**Ranka Stankovic, Tamara Vučenović, Biljana Rujević, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stankovic-2026-integrating-tei-ner-nel-textometry/)
758. [**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/)
759. [**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/)
760. [**STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains**Daniel Steinigen, Lucie Flek, Sebastian Houben*2026*](https://md.research.elamur.ai/free/en/papers/steinigen-2026-strudel-unrolling-benchmark-evaluating-vision/)
761. [**Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-Tuning**Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stenlund-2026-synthetic-instruction-generation-low-resource/)
762. [**SEEM-CZ: Annotation and Classification of Epistemic Markers in Czech**Barbora Štěpánková, Michal Novák, Tomáš Musil, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stepankova-2026-seem-cz-annotation-classification-epistemic/)
763. [**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/)
764. [**SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction**Dávid Števaňák, Marek Suppa*2026*](https://md.research.elamur.ai/free/en/papers/stevanak-2026-slovke-large-scale-dataset-llm/)
765. [**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/)
766. [**Transfer Learning for Creole TTS: A Pilot Study on Whether Substrate Phonologies or Lexifier Vocabularies Matter More**Emmett Strickland, Marc Evrard, Valentina Fedchenko*2026*](https://md.research.elamur.ai/free/en/papers/strickland-2026-transfer-learning-creole-tts-pilot/)
767. [**AURORA Model of Formant-to-tongue Inversion for Didactic and Clinical Applications**Patrycja Strycharczuk, Sam Kirkham*2026*](https://md.research.elamur.ai/free/en/papers/strycharczuk-2026-aurora-model-formant-tongue-inversion/)
768. [**Mapping Liberty Metaphors across Cultures and Time**Sidney Suen, Rui Mao, Kenneth Kwok, et al.*2026*](https://md.research.elamur.ai/free/en/papers/suen-2026-mapping-liberty-metaphors-across-cultures/)
769. [**Low-Rank Compression of Language Models via Differentiable Rank Selection**Sidhant Sundrani, Francesco Tudisco, Pasquale Minervini*2026*](https://md.research.elamur.ai/free/en/papers/sundrani-2026-low-rank-compression-language-models/)
770. [**AnswerCarefully: Creating a Dataset for LLM Safety in Japanese**Hisami Suzuki, Satoru Katsumata, Takashi Kodama, et al.*2026*](https://md.research.elamur.ai/free/en/papers/suzuki-2026-answercarefully-creating-dataset-llm-safety/)
771. [**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/)
772. [**Is There Anything More Deceptive than an Obvious Fact? Investigating Implicitness in User-Generated Argumentative Text**Ekaterina Sviridova, Elena Cabrio, Serena Villata*2026*](https://md.research.elamur.ai/free/en/papers/sviridova-2026-is-there-anything-more-deceptive/)
773. [**How Much Data for Stable Formant Values? Pipeline for Convergence Detection Based on Read Speech**Kayla Sward, Johan Sjons, Axel G. Ekstrom*2026*](https://md.research.elamur.ai/free/en/papers/sward-2026-how-much-data-stable-formant/)
774. [**AusKidTalk: Developing Transcription Guidelines for Continuous Australian English Child Speech**Tuende Szalay, Zheng Nan, Renata Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/szalay-2026-auskidtalk-developing-transcription-guidelines-continuous/)
775. [**Fill-in-the-Blanks: Automatic Generation and Evaluation of Language Models' Pseudonyms for English and Swedish Texts**Maria Irena Szawerna, Jacob Lee Suchardt*2026*](https://md.research.elamur.ai/free/en/papers/szawerna-2026-fill-blanks-automatic-generation-evaluation/)
776. [**The Spectrum of Sentiment: Optimistic, Pessimistic, and Neutral Voices in Online Depression Discourse**Stefana Arina Tabusca, Ana-Maria Bucur, Liviu P. Dinu*2026*](https://md.research.elamur.ai/free/en/papers/tabusca-2026-spectrum-sentiment-optimistic-pessimistic-neutral/)
777. [**Automatic Speech Recognition for Documenting Endangered Languages: Case Study of Ikema Miyakoan**Chihiro Taguchi, Yukinori Takubo, David Chiang*2026*](https://md.research.elamur.ai/free/en/papers/taguchi-2026-automatic-speech-recognition-documenting-endangered/)
778. [**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/)
779. [**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/)
780. [**Evaluating the Effect of Question Wording Variations on Answer Consistency in Large Language Models**Junya Takayama, Masaya Ohagi, Tomoya Mizumoto, et al.*2026*](https://md.research.elamur.ai/free/en/papers/takayama-2026-evaluating-effect-question-wording-variations/)
781. [**Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language Models**Makoto Takenaka, Hitomi Yanaka*2026*](https://md.research.elamur.ai/free/en/papers/takenaka-2026-seeing-other-side-diagnostic-tasks/)
782. [**Bangla Key2Text: Text Generation from Keywords for a Low Resource Language**Tonmoy Talukder, G M Shahariar*2026*](https://md.research.elamur.ai/free/en/papers/talukder-2026-bangla-key2text-text-generation-keywords/)
783. [**Beyond Catalogue Counts: The Dataset Visibility Asymmetry in Low-Resource Multilingual NLP**Zhiyin Tan, Changxu Duan*2026*](https://md.research.elamur.ai/free/en/papers/tan-2026-beyond-catalogue-counts-dataset-visibility/)
784. [**VUPMC: A New Political Metaphor Corpus in Mandarin Chinese**Xiaojuan Tan*2026*](https://md.research.elamur.ai/free/en/papers/tan-2026-vupmc-new-political-metaphor-corpus/)
785. [**Emotion Transcription in Conversation: A Benchmark for Capturing Subtle and Complex Emotional States through Natural Language**Yoshiki Tanaka, Ryuichi Uehara, Koji Inoue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tanaka-2026-emotion-transcription-conversation-benchmark-capturing/)
786. [**Translation from the Information Bottleneck Perspective: an Efficiency Analysis of Spatial Prepositions in Bitexts**Antoine Taroni, Ludovic Moncla, Frederique Laforest*2026*](https://md.research.elamur.ai/free/en/papers/taroni-2026-translation-information-bottleneck-perspective-efficiency/)
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788. [**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/)
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790. [**Evaluating Multimodal Large Language Model Narrative Interpretation through the Lens of Appraisal Theory**Jayant Teotia, Xiaowei Wang, Xulang Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/teotia-2026-evaluating-multimodal-large-language-model/)
791. [**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/)
792. [**How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment**Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/)
793. [**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/)
794. [**AmDi - Ambiguous Words Diachronic Dataset**Felix Thielen, Kai Kugler*2026*](https://md.research.elamur.ai/free/en/papers/thielen-2026-amdi-ambiguous-words-diachronic-dataset/)
795. [**A Study on Building Efficient Zero-Shot Relation Extraction Models**Hugo THOMAS, Caio Corro, Guillaume Gravier, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thomas-2026-study-building-efficient-zero-shot/)
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797. [**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/)
798. [**To Overfit or Not to Overfit? An Evaluation of HTR Workflow on 17Th-18Th Century French Corpus**Marine Tiger*2026*](https://md.research.elamur.ai/free/en/papers/tiger-2026-overfit-or-not-overfit-evaluation/)
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