---
title: "Association for Computational Linguistics — works, page 36"
description: "3,691 works of Association for Computational Linguistics in our library · page 36 of 37, the most cited first."
canonical: "https://research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/36/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/36/)

[home](https://md.research.elamur.ai/free/en/) / [publishers](https://md.research.elamur.ai/free/en/publishers/) / [Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/) / [works](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/) / page 36

# Works of Association for Computational Linguistics

3,691 works · page 36 of 37 · the most cited first · [← Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/)

[← prev](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/35/) [1](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/) … [35](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/35/) **36** [37](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/37/) [next →](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/37/)

3501. [**Evaluating Native-Speaker Preferences on Machine Translation and Post-Edits for Five African Languages**Hiba El Oirghi, Tajuddeen Gwadabe, Marine Carpuat*2026*](https://md.research.elamur.ai/free/en/papers/oirghi-2026-evaluating-native-speaker-preferences-machine/)
3502. [**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/)
3503. [**Finding Sense in Nonsense with Generated Contexts: Perspectives from Humans and Language Models**Katrina Olsen, Sebastian Padó*2026*](https://md.research.elamur.ai/free/en/papers/olsen-2026-finding-sense-nonsense-generated-contexts/)
3504. [**The Lock, Stock, and Barrel of Marathi Multiwords**Aakanksha Padhye, Ashwini Vaidya*2026*](https://md.research.elamur.ai/free/en/papers/padhye-2026-lock-stock-barrel-marathi-multiwords/)
3505. [**From Syntax to Semantics: Introducing UMR for NLP Annotation**Adriana S. Pagano, Magali Sanches Duran, Federica Gamba*2026*](https://md.research.elamur.ai/free/en/papers/pagano-2026-syntax-semantics-introducing-umr-nlp/)
3506. [**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/)
3507. [**Indic-TunedLens: Interpreting Multilingual Models in Indian Languages**Mihir Panchal, Deeksha Varshney, Mamta, et al.*2026*](https://md.research.elamur.ai/free/en/papers/panchal-2026-indic-tunedlens-interpreting-multilingual-models/)
3508. [**Annotating Indian Regional Biases using Large Language Models: Evaluation and Analysis**Debasmita Panda, Akash Anil, Neelesh Kumar Shukla*2026*](https://md.research.elamur.ai/free/en/papers/panda-2026-annotating-indian-regional-biases-large/)
3509. [**I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System**Zi Haur Pang, Yahui Fu, Koji Inoue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pang-2026-i-understand-how-you-feel/)
3510. [**LoResMT 2026 Shared Task System Description**Vladimir Panov*2026*](https://md.research.elamur.ai/free/en/papers/panov-2026-loresmt-2026-shared-task-system/)
3511. [**Learning Latent Representations with Progressive Hypothesis Space Expansion**Jonathan Charles Paramore*2026*](https://md.research.elamur.ai/free/en/papers/paramore-2026-learning-latent-representations-progressive-hypothesis/)
3512. [**Better Scores, Worse Grounding: Hidden Regressions after Fine-Tuning in Dialogue Fact Verification**Hyunkyung Park, Arkaitz Zubiaga*2026*](https://md.research.elamur.ai/free/en/papers/park-2026-better-scores-worse-grounding-hidden/)
3513. [**A Feature-Driven Tensor Semantics for Minimalist Grammars**John Paulson, Aniello De Santo, Jonathan Rawski*2026*](https://md.research.elamur.ai/free/en/papers/paulson-2026-feature-driven-tensor-semantics-minimalist/)
3514. [**Stylometric Approach to AI-generated Texts. An Analysis of Contemporary French-Language Literature**Adam Pawłowski, Tomasz Walkowiak*2026*](https://md.research.elamur.ai/free/en/papers/pawlowski-2026-stylometric-approach-ai-generated-texts/)
3515. [**Evaluation of Multilingual Text Simplification for the Mental Health Domain: Exploring Small Language Models**Olga Pelloni, Sandra Just, Lars Bongo*2026*](https://md.research.elamur.ai/free/en/papers/pelloni-2026-evaluation-multilingual-text-simplification-mental/)
3516. [**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/)
3517. [**SagaQA: A Multi-hop Reasoning Benchmark for Long-form Narrative Understanding in TV Series**Galann Pennec, Zhengyuan Liu, Nicholas Asher, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pennec-2026-sagaqa-multi-hop-reasoning-benchmark/)
3518. [**Machine translation Evaluation Eng-Thai MQM Ranking dataset**Phichet Phuangrot, Natdanai Trintawat, Kanawat Vilasri, et al.*2026*](https://md.research.elamur.ai/free/en/papers/phuangrot-2026-machine-translation-evaluation-eng-thai/)
3519. [**Evaluating Humanities Theory Alignment in Large Language Models: Incremental Prompting and Statistical Assessment**Axel Pichler, Janis Pagel*2026*](https://md.research.elamur.ai/free/en/papers/pichler-2026-evaluating-humanities-theory-alignment-large/)
3520. [**Formalizing the DATASUS RTS: An Ontological Model for a Resource Description Framework Knowledge Graph**Vitor Pires, Dalvan Griebler, Felipe Meneguzzi*2026*](https://md.research.elamur.ai/free/en/papers/pires-2026-formalizing-datasus-rts-ontological-model/)
3521. [**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/)
3522. [**Linguistic Feature Tagging for Automatic Classification of 27 Closely-Related Quechua Varieties**Claire Benét Post, Alexis Palmer*2026*](https://md.research.elamur.ai/free/en/papers/post-2026-linguistic-feature-tagging-automatic-classification/)
3523. [**Learning Stress in Arabic Low-Resource Settings**Abed Qaddoumi, Salam Khalifa, Jordan Kodner, et al.*2026*](https://md.research.elamur.ai/free/en/papers/qaddoumi-2026-learning-stress-arabic-low-resource/)
3524. [**Large Language Models Put to the Test on Chinese Noun Compounds: Experiments on Natural Language Inference and Compound Semantics**Le Qiu, Emmanuele Chersoni, He Zhou, et al.*2026*](https://md.research.elamur.ai/free/en/papers/qiu-2026-large-language-models-put-test/)
3525. [**LST at MWE-2026 AdMIRe 2: Advancing Multimodal Idiomaticity Representation**Le Qiu, Yu-Yin Hsu, Emmanuele Chersoni*2026*](https://md.research.elamur.ai/free/en/papers/qiu-2026-lst-mwe-2026-admire-2/)
3526. [**Harder than Finding the Lost Sheep? Towards Automatically Suggesting Deliberate Metaphor Annotations in German Sermons**Ronja Laarmann-Quante, Stefanie Dipper*2026*](https://md.research.elamur.ai/free/en/papers/quante-2026-harder-than-finding-lost-sheep/)
3527. [**Under the Surface: Probing Tamil Paraphrase Intelligence**Viswadarshan R R, Dr. J. Felicia Lilian, Mahalakshmi S*2026*](https://md.research.elamur.ai/free/en/papers/r-2026-under-surface-probing-tamil-paraphrase/)
3528. [**Using BERT to Explore Lexical Semantic Change of Prepositions**Liudmila Radchankava, Vasily Konovalov*2026*](https://md.research.elamur.ai/free/en/papers/radchankava-2026-bert-explore-lexical-semantic-change/)
3529. [**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/)
3530. [**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/)
3531. [**A Fine-Grained Linguistic Evaluation of Low-Resource Luxembourgish–English MT**Nils Rehlinger*2026*](https://md.research.elamur.ai/free/en/papers/rehlinger-2026-fine-grained-linguistic-evaluation-low/)
3532. [**Evaluating Latin and Ancient Greek Sentence Alignment through Parallel Sentence Mining**Sebastian Reichbauer, Shu Okabe, Alexander Fraser*2026*](https://md.research.elamur.ai/free/en/papers/reichbauer-2026-evaluating-latin-ancient-greek-sentence/)
3533. [**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/)
3534. [**Evaluating Frontier LLM Translation Capability for Lakota**Lance Robertson*2026*](https://md.research.elamur.ai/free/en/papers/robertson-2026-evaluating-frontier-llm-translation-capability/)
3535. [**Archaeology at MWE-2026 PARSEME 2.0 Subtasks 1 and 2: Parsing is for Encoders, Paraphrasing is for LLMs**Rares-Alexandru Roscan, Sergiu Nisioi*2026*](https://md.research.elamur.ai/free/en/papers/roscan-2026-archaeology-mwe-2026-parseme-2/)
3536. [**A Dataset for Oral Reading in Young English Readers**Madison Rose, Michael Bennie, Valeria Pagliai, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rose-2026-dataset-oral-reading-young-english/)
3537. [**From Form to Meaning: Interlingua Sense-Alignment of Offensive Language with LLMs**Maria Alexandra Roussopoulou, Stella Markantonatou*2026*](https://md.research.elamur.ai/free/en/papers/roussopoulou-2026-form-meaning-interlingua-sense-alignment/)
3538. [**From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media**Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ryskina-2026-sunblock-softblock-analyzing-correlates-neology/)
3539. [**Santham: A Curated Sanskrit–Tamil Dataset with Anvaya and Segmentation for Building and Evaluating Machine Translation**Prasanna Venkatesh T S, Ketaki Mangesh Shetye, Vishnuraj Arjunasamy, et al.*2026*](https://md.research.elamur.ai/free/en/papers/s-2026-santham-curated-sanskrit-tamil-dataset/)
3540. [**ZIP: Quantifying Which Words Matter in Zero-Shot Instructional Prompts**Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sadr-2026-zip-quantifying-which-words-matter/)
3541. [**Uncovering Ideological Bias in RAG with Lexical Multidimensional Analysis: A Case Study on COVID-19**Elmira Salari, Maria Claudia Nunes Delfino, Hazem Amamou, et al.*2026*](https://md.research.elamur.ai/free/en/papers/salari-2026-uncovering-ideological-bias-rag-lexical/)
3542. [**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/)
3543. [**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/)
3544. [**LegalSim-PT: Building a Dataset for Legal Document Simplification in Portuguese Leveraging Linguistic Metrics**Arthur Scalercio, Maria José Finatto, Aline Paes*2026*](https://md.research.elamur.ai/free/en/papers/scalercio-2026-legalsim-pt-building-dataset-legal/)
3545. [**Studying Expert-ese: Profiling and Classification of Domain-Specific Language Variation in Architecture with Traditional Machine Learning and LLMs**Carmen Schacht, Renate Delucchi Danhier*2026*](https://md.research.elamur.ai/free/en/papers/schacht-2026-studying-expert-ese-profiling-classification/)
3546. [**Compression-based Language Complexity under Register Variation in Portuguese**Felipe Ribas Serras, Marcelo Finger*2026*](https://md.research.elamur.ai/free/en/papers/serras-2026-compression-based-language-complexity-under/)
3547. [**LLMs Out-of-the-Box Do Not Generate Context-Appropriate Word Order in Russian**Alina Shabaeva, John Frederick Bailyn, Owen Rambow*2026*](https://md.research.elamur.ai/free/en/papers/shabaeva-2026-llms-out-box-do-not/)
3548. [**When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue**Mohammad Alijanpour Shalmani, Alale Rezvani Boroujeni, Jiann S. Yuan*2026*](https://md.research.elamur.ai/free/en/papers/shalmani-2026-when-database-fails-prompting-llm/)
3549. [**Small Neural Networks as Models of Cross-Linguistic Speech Perception**Annika Shankwitz*2026*](https://md.research.elamur.ai/free/en/papers/shankwitz-2026-small-neural-networks-as-models/)
3550. [**A Comparative Evaluation of Open-Source Models for Russian-Kazakh Translation**Gleb Shanshin*2026*](https://md.research.elamur.ai/free/en/papers/shanshin-2026-comparative-evaluation-open-source-models/)
3551. [**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/)
3552. [**Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation**Kaustubh Shivshankar Shejole, Sourabh Deoghare, Pushpak Bhattacharyya*2026*](https://md.research.elamur.ai/free/en/papers/shejole-2026-assessing-improving-punctuation-robustness-english/)
3553. [**A Zipfian Analysis of Visual Token Distributions for AI-Generated Images**Andrew Shin*2026*](https://md.research.elamur.ai/free/en/papers/shin-2026-zipfian-analysis-visual-token-distributions/)
3554. [**ASCAT: Arabic Scientific Benchmark for Advanced Translation Evaluation**Serry Sibaee, Khloud Al Jallad, Zineb Yousfi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sibaee-2026-ascat-arabic-scientific-benchmark-advanced/)
3555. [**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/)
3556. [**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/)
3557. [**Fine-tuning Whisper Across 81 Languages**Shivam Singh, Alex Warstadt*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-fine-tuning-whisper-across-81/)
3558. [**ArgAssist: LLM-based Argument Synthesis for Insurance Disputes**Anubhav Sinha, Nitin Ramrakhiyani, Sachin Pawar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sinha-2026-argassist-llm-based-argument-synthesis/)
3559. [**Voice Activation Detection for Transcription of Indigenous Languages**Rolando Coto-Solano, Mikaela Browning, Thomas Corrado, et al.*2026*](https://md.research.elamur.ai/free/en/papers/solano-2026-voice-activation-detection-transcription-indigenous/)
3560. [**Incorporating Multiword Expressions in Galician Neural Machine Translation: Compositionality, Efficiency, and Performance**Daniel Solla, Paula Pinto-Ferro, Laura Castro, et al.*2026*](https://md.research.elamur.ai/free/en/papers/solla-2026-incorporating-multiword-expressions-galician-neural/)
3561. [**SearchLLM: Detecting LLM Paraphrased Text by Measuring the Similarity with Regeneration of the Candidate Source via Search Engine**Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu*2026*](https://md.research.elamur.ai/free/en/papers/son-2026-searchllm-detecting-llm-paraphrased-text/)
3562. [**Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table Translation**Seok Hwan Song, Azher Ahmed Efat, Wallapak Tavanapong*2026*](https://md.research.elamur.ai/free/en/papers/song-2026-assessing-y-axis-influence-bias/)
3563. [**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/)
3564. [**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/)
3565. [**Can a Remedy Find a Researcher? Exploring the Development of Semantic Knowledge in Italian BabyLMs**Alice Suozzi, Luca Capone, Gianluca Lebani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/suozzi-2026-can-remedy-find-researcher-exploring/)
3566. [**HCMUS_The Fangs at AbjadStyleTransfer Shared Task: Learning to Query Style, Contrastive Representations for Zero-Shot Arabic Authorship Style Transfer**Duy Minh Dao Sy, Trung Kiet Huynh, Nguyen Chi Tran, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sy-2026-hcmus-fangs-abjadstyletransfer-shared-task/)
3567. [**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/)
3568. [**Evaluating Small Language Models for English-to-Portuguese Translation: Impact of Model Scale and Quantization**Gustavo Lopes Tamiosso, Rafael Oleques Nunes, Dennis Giovani Balreira*2026*](https://md.research.elamur.ai/free/en/papers/tamiosso-2026-evaluating-small-language-models-english/)
3569. [**Armenian AutoEpiDoc: Automated Extraction and Encoding of Armenian Inscriptions into EpiDoc TEI/XML**Hamest Tamrazyan, Emile Cornamusaz, Emanuela Boros*2026*](https://md.research.elamur.ai/free/en/papers/tamrazyan-2026-armenian-autoepidoc-automated-extraction-encoding/)
3570. [**From Corpus to Concept Scheme: Developing a SKOS Vocabulary for Armenian Epigraphic Heritage**Hamest Tamrazyan, Kamal Nour, Emanuela Boros*2026*](https://md.research.elamur.ai/free/en/papers/tamrazyan-2026-corpus-concept-scheme-developing-skos/)
3571. [**The Development of Spectral and Temporal Encodings in Speech Sounds**Frank Lihui Tan, Youngah Do*2026*](https://md.research.elamur.ai/free/en/papers/tan-2026-development-spectral-temporal-encodings-speech/)
3572. [**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/)
3573. [**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/)
3574. [**Bringing Mapudungun into the Modern MT Ecosystem: Morphology-Aware Tokenization for NLLB-200 Fine-Tuning**Isaac Thompson, Brandon Rogers, Eric Ringger*2026*](https://md.research.elamur.ai/free/en/papers/thompson-2026-bringing-mapudungun-into-modern-mt/)
3575. [**ThinkStruct: RST-Aware Attention for Logical Reasoning in Machine Reading Comprehension**Nhi Thao Tran, Tien Le, Toan Pham, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tran-2026-thinkstruct-rst-aware-attention-logical/)
3576. [**Logic-Level Evaluation of Logical Table-to-Text Generation**Lena Trigg, Dean F. Hougen, Ahsan Bilal*2026*](https://md.research.elamur.ai/free/en/papers/trigg-2026-logic-level-evaluation-logical-table/)
3577. [**Generation of Dialogue Breakdown Repair Utterance in Non-task Oriented Conversation**Kazuya Tsubokura, Yurie Iribe, Norihide Kitaoka*2026*](https://md.research.elamur.ai/free/en/papers/tsubokura-2026-generation-dialogue-breakdown-repair-utterance/)
3578. [**From Felt Sense to Words: Construction and Analysis of a Focusing Dialogue Dataset for Verbalization**Yuiko Tsunomori, Yuya Chiba, Yosuke Koshikawa*2026*](https://md.research.elamur.ai/free/en/papers/tsunomori-2026-felt-sense-words-construction-analysis/)
3579. [**Frequency modulates structural choice in Turkish suspended affixation: a latent-process account**Utku Turk, Eva Neu, Özge Bakay, et al.*2026*](https://md.research.elamur.ai/free/en/papers/turk-2026-frequency-modulates-structural-choice-turkish/)
3580. [**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/)
3581. [**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/)
3582. [**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/)
3583. [**CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractions**Francesca Padovani, Xiulin Yang, Bastian Bunzeck, et al.*2026*](https://md.research.elamur.ai/free/en/papers/padovani-2026-cait-syntactic-parsing-toolkit-child/)
3584. [**Language Mixture to Develop Accurate Galician Dependency Parsers: An Exploration of Its Effects**Xabier Irastortza-Urbieta, José M. García-Miguel, Marcos Garcia*2026*](https://md.research.elamur.ai/free/en/papers/urbieta-2026-language-mixture-develop-accurate-galician/)
3585. [**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/)
3586. [**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/)
3587. [**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/)
3588. [**From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder Features**Nakanyseth Vuth, Gilles Sérasset, Didier Schwab*2026*](https://md.research.elamur.ai/free/en/papers/vuth-2026-latents-labels-zero-shot-named/)
3589. [**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/)
3590. [**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/)
3591. [**Learning Process Interaction Through Simplex ISL Transducers**Chenli Wang, Adam Jardine*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-process-interaction-through-simplex/)
3592. [**Learning reduplicative templates as hidden structures: the case of reduplication-phonology interactions**Yang Wang*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-reduplicative-templates-as-hidden/)
3593. [**Similar Predictions, Different Processes: A Multi-Level Comparison of Human and Multimodal LLM Language Prediction**Shuqi Wang, Zhenguang Cai*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-similar-predictions-different-processes-multi/)
3594. [**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/)
3595. [**Time-for-Accuracy: Formalizing Chain-of-Thought as an Expansion of Logical Depth**Yue Wang, Zhi Zhang, Wang Xi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-time-accuracy-formalizing-chain-thought/)
3596. [**Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM Judges**Anuradha Welivita, Fawzia Zeitoun, Pearl Pu*2026*](https://md.research.elamur.ai/free/en/papers/welivita-2026-who-generates-more-empathetic-responses/)
3597. [**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/)
3598. [**Generative Information Extraction from Biographical Sources**Robin Winkle, Manfred Stede, Jörn Kreutel*2026*](https://md.research.elamur.ai/free/en/papers/winkle-2026-generative-information-extraction-biographical-sources/)
3599. [**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/)
3600. [**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/)

[← prev](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/35/) [1](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/) … [35](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/35/) **36** [37](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/37/) [next →](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/works/page/37/)

- [← back to](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/) — Association for Computational Linguistics