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- MoVoC: Morphology-Aware Subword Construction for Ge''ez Script Languages — our card · 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
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- Multi-Agent Cross-Lingual Veracity Assessment for Explainable Fake News Detection — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
- Multi-Hypothesis Distillation of Multilingual Neural Translation Models for Low-Resource Languages — 2025 · arXiv:2507.21568
- Multi-agentMT: Deploying AI Agent in the WMT25 Shared Task — 2025 · Proceedings of the Tenth Conference on Machine Translation
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- Multilingual Data Filtering using Synthetic Data from Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
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- NAIST Offline Speech Translation System for IWSLT 2025 — 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)
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- Nvidia-Nemo's WMT 2025 Metrics Shared Task Submission — 2025 · Proceedings of the Tenth Conference on Machine Translation
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- Open-domain Arabic Conversational Question Answering with Question Rewriting — 2025 · Proceedings of The Third Arabic Natural Language Processing Conference
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- PARME: Parallel Corpora for Low-Resourced Middle Eastern Languages — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- PATIMT-Bench: A Multi-Scenario Benchmark for Position-Aware Text Image Machine Translation in Large Vision-Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- PRIM: Towards Practical In-Image Multilingual Machine Translation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Parallel Corpora for Machine Translation in Low-resource Indic Languages: A Comprehensive Review — 2025 · arXiv:2503.04797
- Patient-Centric Multilingual Question Answering and Summary Generation for Head and Neck Cancer and Blood Donation — 2025 · NLP-AI4Health
- Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics — 2025 · arXiv:2510.22028
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- Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Pun2Pun: Benchmarking LLMs on Textual-Visual Chinese-English Pun Translation via Pragmatics Model and Linguistic Reasoning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
- QE4PE: Word-level Quality Estimation for Human Post-Editing — 2025 · Transactions of the Association for Computational Linguistics
- Quality Beyond A Glance: Revealing Large Quality Differences Between Web-Crawled Parallel Corpora — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- Quality Estimation Reranking for Document-Level Translation — 2025 · arXiv:2510.08870
- Quality Estimation and Post-Editing Using LLMs For Indic Languages: How Good Is It? — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
- Quality Matters Measuring the Effect of Human-Annotated Translation Quality on English-Slovak Machine Translation — 2025 · Proceedings of the Workshop on Beyond English: Natural Language Processing for all Languages in an Era of Large Language Models
- Quality-Informed Segment-Level Error Correction Using Natural Language Explanations from xTower and Large Language Models — 2025 · Proceedings of the Tenth Conference on Machine Translation
- RankedCOMET: Elevating a 2022 Baseline to a Top-5 Finish in the WMT 2025 QE Task — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Ranking Over Scoring: Towards Reliable and Robust Automated Evaluation of LLM-Generated Medical Explanatory Arguments — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Reasoning for Translation: Comparative Analysis of Chain-of-Thought and Tree-of-Thought Prompting for LLM Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
- Refined Assessment for Translation Evaluation: Rethinking Machine Translation Evaluation in the Era of Human-Level Systems — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Rethinking Long Context Generation from the Continual Learning Perspective — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- SAHA: Samvad AI for Healthcare Assistance — 2025 · NLP-AI4Health
- SALT at SemEval-2025 Task 2: A SQL-based Approach for LLM-Free Entity-Aware-Translation — 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
- SASST: Leveraging Syntax-Aware Chunking and LLMs for Simultaneous Speech Translation — 2025 · arXiv:2508.07781
- SLoW: Select Low-frequency Words! Automatic Dictionary Selection for Translation on Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages? — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Scaling Low-Resource MT via Synthetic Data Generation with LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Self-Evolution Knowledge Distillation for LLM-based Machine Translation — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- SemEval-2025 Task 2: Entity-Aware Machine Translation — 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
- SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- SheffieldGATE at SemEval-2025 Task 2: Multi-Stage Reasoning with Knowledge Fusion for Entity Translation — 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
- Should I Share this Translation? Evaluating Quality Feedback for User Reliance on Machine Translation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems — 2025 · arXiv:2512.17648
- Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- SlangDIT: Benchmarking LLMs in Interpretative Slang Translation — 2025 · arXiv:2505.14181
- Specification-Aware Machine Translation and Evaluation for Purpose Alignment — 2025 · Proceedings of the Tenth Conference on Machine Translation
- SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- SpeechT: Findings of the First Mentorship in Speech Translation — 2025 · Proceedings of Machine Translation Summit XX: Volume 2
- Structure-Conditional Minimum Bayes Risk Decoding — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Structured Document Translation via Format Reinforcement Learning — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
- Sustainable Italian LLM Evaluation: Community Perspectives and Methodological Guidelines — 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
- TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- TRANSLATIONCORRECT: A Unified Framework for Machine Translation Post-Editing with Predictive Error Assistance — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
- Tackling Low-Resource NMT with Instruction-Tuned LLaMA: A Study on Kokborok and Bodo — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Tagged Span Annotation for Detecting Translation Errors in Reasoning LLMs — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Tailoring Machine Translation for Scientific Literature through Topic Filtering and Fuzzy Match Augmentation — 2025 · Proceedings of the Eleventh Workshop on Patent and Scientific Literature Translation (PSLT 2025)
- Targeted Source Text Editing for Machine Translation: Exploiting Quality Estimators and Large Language Models — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pre-trained Models — 2025 · arXiv:2512.03989 · Findings of the Association for Computational Linguistics: EACL 2026, pages 6492-6516
- Team ACK at SemEval-2025 Task 2: Beyond Word-for-Word Machine Translation for English-Korean Pairs — 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
- Terminology-Constrained Translation from Monolingual Data Using GRPO — 2025 · Proceedings of the Tenth Conference on Machine Translation
- The Devil is in the Details: Assessing the Effects of Machine-Translation on LLM Performance in Domain-Specific Texts — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
- The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- The Impact of Domain-Specific Terminology on Machine Translation for Finance in European Languages — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Theoretical Guarantees for Minimum Bayes Risk Decoding — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- Tokenization on Trial: The Case of Kalaallisut–Danish Legal Machine Translation — 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
- Toward Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST) — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Towards Automatic Evaluation for Image Transcreation — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Towards Inducing Long-Context Abilities in Multilingual Neural Machine Translation Models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Towards Zero-Shot Multimodal Machine Translation — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Training and Inference Efficiency of Encoder-Decoder Speech Models — 2025 · arXiv:2503.05931
- TransBench: Benchmarking Machine Translation for Industrial-Scale Applications — 2025 · arXiv:2505.14244
- Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Translating Domain-Specific Terminology in Typologically-Diverse Languages: A Study in Tax and Financial Education — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Translating Movie Subtitles by Large Language Models using Movie-meta Information — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
- Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
- Translation Entropy: A Statistical Framework for Evaluating Translation Systems — 2025 · arXiv:2511.13180
- TriFine: A Large-Scale Dataset of Vision-Audio-Subtitle for Tri-Modal Machine Translation and Benchmark with Fine-Grained Annotated Tags — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Up to Par? MT Systems Take a Shot at Sports Terminology — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Using Translation Techniques to Characterize MT Outputs — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
- VELA: An LLM-Hybrid-as-a-Judge Approach for Evaluating Long Image Captions — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- ViDove: A Translation Agent System with Multimodal Context and Memory-Augmented Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Vicomtech@WMT 2025: Evolutionary Model Compression for Machine Translation — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- What can Large Language Models Capture about Code Functional Equivalence? — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)