--- title: "Natural language processing — papers, page 3" description: "Natural language processing: 1506 papers of the Elamur Research library · page 3 of 61 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/3/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/3/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Natural language processing](https://md.research.elamur.ai/free/en/shelves/nlp/) / page 3 # 💬 Natural language processing 1506 papers · page 3 of 61 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Computational linguistics from the ACL Anthology and arXiv: language models, information extraction, dialogue, evaluation. [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/2/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) [2](https://md.research.elamur.ai/free/en/shelves/nlp/page/2/) **3** [4](https://md.research.elamur.ai/free/en/shelves/nlp/page/4/) [5](https://md.research.elamur.ai/free/en/shelves/nlp/page/5/) [6](https://md.research.elamur.ai/free/en/shelves/nlp/page/6/) [7](https://md.research.elamur.ai/free/en/shelves/nlp/page/7/) [8](https://md.research.elamur.ai/free/en/shelves/nlp/page/8/) [9](https://md.research.elamur.ai/free/en/shelves/nlp/page/9/) [10](https://md.research.elamur.ai/free/en/shelves/nlp/page/10/) [11](https://md.research.elamur.ai/free/en/shelves/nlp/page/11/) [12](https://md.research.elamur.ai/free/en/shelves/nlp/page/12/) [13](https://md.research.elamur.ai/free/en/shelves/nlp/page/13/) [14](https://md.research.elamur.ai/free/en/shelves/nlp/page/14/) [15](https://md.research.elamur.ai/free/en/shelves/nlp/page/15/) [16](https://md.research.elamur.ai/free/en/shelves/nlp/page/16/) [17](https://md.research.elamur.ai/free/en/shelves/nlp/page/17/) [18](https://md.research.elamur.ai/free/en/shelves/nlp/page/18/) [19](https://md.research.elamur.ai/free/en/shelves/nlp/page/19/) [20](https://md.research.elamur.ai/free/en/shelves/nlp/page/20/) [21](https://md.research.elamur.ai/free/en/shelves/nlp/page/21/) [22](https://md.research.elamur.ai/free/en/shelves/nlp/page/22/) [23](https://md.research.elamur.ai/free/en/shelves/nlp/page/23/) [24](https://md.research.elamur.ai/free/en/shelves/nlp/page/24/) [25](https://md.research.elamur.ai/free/en/shelves/nlp/page/25/) [26](https://md.research.elamur.ai/free/en/shelves/nlp/page/26/) [27](https://md.research.elamur.ai/free/en/shelves/nlp/page/27/) [28](https://md.research.elamur.ai/free/en/shelves/nlp/page/28/) [29](https://md.research.elamur.ai/free/en/shelves/nlp/page/29/) [30](https://md.research.elamur.ai/free/en/shelves/nlp/page/30/) [31](https://md.research.elamur.ai/free/en/shelves/nlp/page/31/) [32](https://md.research.elamur.ai/free/en/shelves/nlp/page/32/) [33](https://md.research.elamur.ai/free/en/shelves/nlp/page/33/) [34](https://md.research.elamur.ai/free/en/shelves/nlp/page/34/) [35](https://md.research.elamur.ai/free/en/shelves/nlp/page/35/) [36](https://md.research.elamur.ai/free/en/shelves/nlp/page/36/) [37](https://md.research.elamur.ai/free/en/shelves/nlp/page/37/) [38](https://md.research.elamur.ai/free/en/shelves/nlp/page/38/) [39](https://md.research.elamur.ai/free/en/shelves/nlp/page/39/) [40](https://md.research.elamur.ai/free/en/shelves/nlp/page/40/) [41](https://md.research.elamur.ai/free/en/shelves/nlp/page/41/) [42](https://md.research.elamur.ai/free/en/shelves/nlp/page/42/) [43](https://md.research.elamur.ai/free/en/shelves/nlp/page/43/) [44](https://md.research.elamur.ai/free/en/shelves/nlp/page/44/) [45](https://md.research.elamur.ai/free/en/shelves/nlp/page/45/) [46](https://md.research.elamur.ai/free/en/shelves/nlp/page/46/) [47](https://md.research.elamur.ai/free/en/shelves/nlp/page/47/) [48](https://md.research.elamur.ai/free/en/shelves/nlp/page/48/) [49](https://md.research.elamur.ai/free/en/shelves/nlp/page/49/) [50](https://md.research.elamur.ai/free/en/shelves/nlp/page/50/) [51](https://md.research.elamur.ai/free/en/shelves/nlp/page/51/) [52](https://md.research.elamur.ai/free/en/shelves/nlp/page/52/) [53](https://md.research.elamur.ai/free/en/shelves/nlp/page/53/) [54](https://md.research.elamur.ai/free/en/shelves/nlp/page/54/) [55](https://md.research.elamur.ai/free/en/shelves/nlp/page/55/) [56](https://md.research.elamur.ai/free/en/shelves/nlp/page/56/) [57](https://md.research.elamur.ai/free/en/shelves/nlp/page/57/) [58](https://md.research.elamur.ai/free/en/shelves/nlp/page/58/) [59](https://md.research.elamur.ai/free/en/shelves/nlp/page/59/) [60](https://md.research.elamur.ai/free/en/shelves/nlp/page/60/) [61](https://md.research.elamur.ai/free/en/shelves/nlp/page/61/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/4/) - [On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/) — Weichuan Wang, Mingyang Liu, Chen Ma, et al. · 2026 - [Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement](https://md.research.elamur.ai/free/en/papers/yan-2026-paraphrasing-as-zero-shot-translation/) — Ziyue Yan, Hongying Zan, Xinglin Lyu, et al. · 2026 - [Parsing Arabic Dialects Revisited: New Benchmarks, Models, and Insights](https://md.research.elamur.ai/free/en/papers/aclbulk-2026-elshabrawy-parsing-arabic-dialects-revisited-new/) — Ahmed Farouk Zakaria Elshabrawy, Go Inoue, Muhammed AbuOdeh, et al. · 2026 - [PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine Translation](https://md.research.elamur.ai/free/en/papers/proietti-2026-pear-pairwise-evaluation-automatic-relative/) — Lorenzo Proietti, Roman Grundkiewicz, Matt Post · 2026 - [PEI at #SMM4H-HeaRD 2026: Enhancing Patient Metadata Detection via Hypothesis-Conditioned Classification and Paraphrase-Based Data Augmentation](https://md.research.elamur.ai/free/en/papers/zeidi-2026-pei-smm4h-heard-2026-enhancing/) — Farnaz Zeidi, Roman Christof, Farnoush Zeidi, et al. · 2026 - [Plan-Guided Text Simplification with Extended Contexts](https://md.research.elamur.ai/free/en/papers/mathas-2026-plan-guided-text-simplification-extended/) — Pascal Mathas, Jan Bakker, Jaap Kamps · 2026 - [Proficiency-Controlled Text Simplification in European Portuguese: A Preliminary Study using Prompting Approaches](https://md.research.elamur.ai/free/en/papers/ribeiro-2026-proficiency-controlled-text-simplification-european/) — Eugénio Ribeiro, David Antunes, Nuno Mamede, et al. · 2026 - [Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation](https://md.research.elamur.ai/free/en/papers/thellmann-2026-quantifying-impact-translation-errors-multilingual/) — Klaudia Thellmann, Bernhard Stadler, Michael Färber, et al. · 2026 - [Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets](https://md.research.elamur.ai/free/en/papers/yukhymenko-2026-recovered-translation-efficient-pipeline-automated/) — Hanna Yukhymenko, Anton Alexandrov, Martin Vechev · 2026 - [Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations](https://md.research.elamur.ai/free/en/papers/tan-2026-remedy-r-generative-reasoning-machine/) — Shaomu Tan, Ryosuke Mitani, Ritvik Choudhary, et al. · 2026 - [ReproHum #0669-08: Reproducing a Recipe for Arbitrary Text Style Transfer with LLMs](https://md.research.elamur.ai/free/en/papers/mahamood-2026-reprohum-0669-08-reproducing-recipe/) — Saad Mahamood · 2026 - [Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages](https://md.research.elamur.ai/free/en/papers/yari-2026-revisiting-metric-reliability-fine-grained/) — Amir Hossein Yari, Kalmit Kulkarni, Ahmad Raza Khan, et al. · 2026 - [Rhetorical Questions in LLM Representations: A Linear Probing Study](https://md.research.elamur.ai/free/en/papers/yao-2026-rhetorical-questions-llm-representations-linear/) — Louie Hong Yao, Vishesh Anand, Yuan Zhuang, et al. · 2026 - [SALT-31: A Machine Translation Benchmark Dataset for 31 Ugandan Languages](https://md.research.elamur.ai/free/en/papers/nsumba-2026-salt-31-machine-translation-benchmark/) — Solomon Nsumba, Benjamin Akera, Evelyn Nafula Ouma, et al. · 2026 - [Santham: A Curated Sanskrit–Tamil Dataset with Anvaya and Segmentation for Building and Evaluating Machine Translation](https://md.research.elamur.ai/free/en/papers/s-2026-santham-curated-sanskrit-tamil-dataset/) — Prasanna Venkatesh T S, Ketaki Mangesh Shetye, Vishnuraj Arjunasamy, et al. · 2026 - [SearchLLM: Detecting LLM Paraphrased Text by Measuring the Similarity with Regeneration of the Candidate Source via Search Engine](https://md.research.elamur.ai/free/en/papers/son-2026-searchllm-detecting-llm-paraphrased-text/) — Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu · 2026 - [Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text Simplification](https://md.research.elamur.ai/free/en/papers/zhou-2026-simplify-pro-two-level-progressive/) — Peng Zhou, Guangxin Li, Xiaoying Huang, et al. · 2026 - [SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent Space](https://md.research.elamur.ai/free/en/papers/zinkovich-2026-sparta-evaluating-reasoning-segmentation-robustness/) — Viktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al. · 2026 - [SWAN: Semantic Watermarking with Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/ye-2026-swan-semantic-watermarking-abstract-meaning/) — Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al. · 2026 - [The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks](https://md.research.elamur.ai/free/en/papers/zhao-2026-mark-fades-adaptive-evolutionary-paraphrase/) — Yusheng Zhao, Jian Zhao, Tianle Zhang, et al. · 2026 - [Translation as Augmentation: Effect of Translated Data on Assessment of Difficulty](https://md.research.elamur.ai/free/en/papers/wu-2026-translation-as-augmentation-effect-translated/) — Yiheng Wu, Jue Hou, Roman Yangarber · 2026 - [Trustworthy NLP for Low-Resource Languages: Agent-Based Uncertainty Modeling for Hebrew Radiology Report Structuring](https://md.research.elamur.ai/free/en/papers/aclbulk-2026-atya-trustworthy-nlp-low-resource-languages/) — Hadas Ben Atya, Naama Gavrielov, Zvi Badash, et al. · 2026 - [Uncertainty Quantification for Evaluating Gender Bias in Machine Translation](https://md.research.elamur.ai/free/en/papers/staliunaite-2026-uncertainty-quantification-evaluating-gender-bias/) — Ieva Staliunaite, Julius Cheng, Andreas Vlachos · 2026 - [When Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/tan-2026-when-flores-bloomz-wrong-cross/) — David Tan, Pinzhen Chen, Josef van Genabith, et al. · 2026 - [Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains](https://md.research.elamur.ai/free/en/papers/schmidt-2026-who-watches-watchmen-humans-disagree/) — Finn Schmidt, Jan Philip Wahle, Terry Ruas, et al. · 2026 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/2/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) [2](https://md.research.elamur.ai/free/en/shelves/nlp/page/2/) **3** [4](https://md.research.elamur.ai/free/en/shelves/nlp/page/4/) [5](https://md.research.elamur.ai/free/en/shelves/nlp/page/5/) [6](https://md.research.elamur.ai/free/en/shelves/nlp/page/6/) [7](https://md.research.elamur.ai/free/en/shelves/nlp/page/7/) [8](https://md.research.elamur.ai/free/en/shelves/nlp/page/8/) [9](https://md.research.elamur.ai/free/en/shelves/nlp/page/9/) [10](https://md.research.elamur.ai/free/en/shelves/nlp/page/10/) [11](https://md.research.elamur.ai/free/en/shelves/nlp/page/11/) [12](https://md.research.elamur.ai/free/en/shelves/nlp/page/12/) [13](https://md.research.elamur.ai/free/en/shelves/nlp/page/13/) [14](https://md.research.elamur.ai/free/en/shelves/nlp/page/14/) [15](https://md.research.elamur.ai/free/en/shelves/nlp/page/15/) [16](https://md.research.elamur.ai/free/en/shelves/nlp/page/16/) [17](https://md.research.elamur.ai/free/en/shelves/nlp/page/17/) [18](https://md.research.elamur.ai/free/en/shelves/nlp/page/18/) [19](https://md.research.elamur.ai/free/en/shelves/nlp/page/19/) [20](https://md.research.elamur.ai/free/en/shelves/nlp/page/20/) [21](https://md.research.elamur.ai/free/en/shelves/nlp/page/21/) [22](https://md.research.elamur.ai/free/en/shelves/nlp/page/22/) [23](https://md.research.elamur.ai/free/en/shelves/nlp/page/23/) [24](https://md.research.elamur.ai/free/en/shelves/nlp/page/24/) [25](https://md.research.elamur.ai/free/en/shelves/nlp/page/25/) [26](https://md.research.elamur.ai/free/en/shelves/nlp/page/26/) [27](https://md.research.elamur.ai/free/en/shelves/nlp/page/27/) [28](https://md.research.elamur.ai/free/en/shelves/nlp/page/28/) [29](https://md.research.elamur.ai/free/en/shelves/nlp/page/29/) [30](https://md.research.elamur.ai/free/en/shelves/nlp/page/30/) [31](https://md.research.elamur.ai/free/en/shelves/nlp/page/31/) [32](https://md.research.elamur.ai/free/en/shelves/nlp/page/32/) [33](https://md.research.elamur.ai/free/en/shelves/nlp/page/33/) [34](https://md.research.elamur.ai/free/en/shelves/nlp/page/34/) [35](https://md.research.elamur.ai/free/en/shelves/nlp/page/35/) [36](https://md.research.elamur.ai/free/en/shelves/nlp/page/36/) [37](https://md.research.elamur.ai/free/en/shelves/nlp/page/37/) [38](https://md.research.elamur.ai/free/en/shelves/nlp/page/38/) [39](https://md.research.elamur.ai/free/en/shelves/nlp/page/39/) [40](https://md.research.elamur.ai/free/en/shelves/nlp/page/40/) [41](https://md.research.elamur.ai/free/en/shelves/nlp/page/41/) [42](https://md.research.elamur.ai/free/en/shelves/nlp/page/42/) [43](https://md.research.elamur.ai/free/en/shelves/nlp/page/43/) [44](https://md.research.elamur.ai/free/en/shelves/nlp/page/44/) [45](https://md.research.elamur.ai/free/en/shelves/nlp/page/45/) [46](https://md.research.elamur.ai/free/en/shelves/nlp/page/46/) [47](https://md.research.elamur.ai/free/en/shelves/nlp/page/47/) [48](https://md.research.elamur.ai/free/en/shelves/nlp/page/48/) [49](https://md.research.elamur.ai/free/en/shelves/nlp/page/49/) [50](https://md.research.elamur.ai/free/en/shelves/nlp/page/50/) [51](https://md.research.elamur.ai/free/en/shelves/nlp/page/51/) [52](https://md.research.elamur.ai/free/en/shelves/nlp/page/52/) [53](https://md.research.elamur.ai/free/en/shelves/nlp/page/53/) [54](https://md.research.elamur.ai/free/en/shelves/nlp/page/54/) [55](https://md.research.elamur.ai/free/en/shelves/nlp/page/55/) [56](https://md.research.elamur.ai/free/en/shelves/nlp/page/56/) [57](https://md.research.elamur.ai/free/en/shelves/nlp/page/57/) [58](https://md.research.elamur.ai/free/en/shelves/nlp/page/58/) [59](https://md.research.elamur.ai/free/en/shelves/nlp/page/59/) [60](https://md.research.elamur.ai/free/en/shelves/nlp/page/60/) [61](https://md.research.elamur.ai/free/en/shelves/nlp/page/61/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/4/)