Who cites «Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation» · page 2
395 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation — 2025 · arXiv:2509.20287
- Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Findings of the First Patent Claims Translation Task at WAT2025 — 2025 · Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025)
- Findings of the IWSLT 2025 Evaluation Campaign — 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)
- Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning, Generation, and Evaluation — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Findings of the WMT25 Shared Task on Automated Translation Evaluation Systems: Linguistic Diversity is Challenging and References Still Help — 2025 · Proceedings of the Tenth Conference on Machine Translation
- From NLG Evaluation to Modern Student Assessment in the Era of ChatGPT: The Great Misalignment Problem and Pedagogical Multi-Factor Assessment (P-MFA) — 2025 · Proceedings of the 10th International Workshop on Computational Linguistics for Uralic Languages
- Gender Bias in English-to-Greek Machine Translation — 2025 · Proceedings of the 3rd Workshop on Gender-Inclusive Translation Technologies (GITT 2025)
- HISTOIRESMORALES: A French Dataset for Assessing Moral 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)
- Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs — 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)
- How Well Do Large Reasoning Models Translate? A Comprehensive Evaluation for Multi-Domain Machine Translation — 2025 · arXiv:2505.19987
- How to Evaluate Speech Translation with Source-Aware Neural MT Metrics — 2025 · arXiv:2511.03295
- IRB-MT at WMT25 Translation Task: A Simple Agentic System Using an Off-the-Shelf LLM — 2025 · Proceedings of the Tenth Conference on Machine Translation
- LLMs for Low-Resource Dialect Translation Using Context-Aware Prompting: A Case Study on Sylheti — 2025 · Proceedings of the Second Workshop on Bangla Language Processing (BLP-2025)
- La traduction automatique dialectale: état de l''art et étude préliminaire sur le continuum dialectal de l''occitan — 2025 · Actes des 18e Rencontres Jeunes Chercheurs en RI (RJCRI) et 27ème Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RECITAL)
- LiTransProQA: An LLM-based Literary Translation Evaluation Metric with Professional Question Answering — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Localizing and Mitigating Errors in Long-form Question Answering — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- MAATS: A Multi-Agent Automated Translation System Based on MQM Evaluation — 2025 · arXiv:2505.14848
- MAS-LitEval : Multi-Agent System for Literary Translation Quality Assessment — 2025 · arXiv:2506.14199
- MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- MQM-Chat: Multidimensional Quality Metrics for Chat Translation — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models — 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)
- MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets — 2025 · Computational Linguistics
- MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation — 2025 · arXiv:2512.07540
- Non-Linear Scoring Model for Translation Quality Evaluation — 2025 · arXiv:2511.13467
- Nvidia-Nemo's WMT 2025 Metrics Shared Task Submission — 2025 · Proceedings of the Tenth Conference on Machine Translation
- OpeNLGauge: An Explainable Metric for NLG Evaluation with Open-Weights LLMs — 2025 · Proceedings of the 18th International Natural Language Generation Conference
- Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics — 2025 · arXiv:2510.22028
- PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics — 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)
- QE4PE: Word-level Quality Estimation for Human Post-Editing — 2025 · Transactions of the Association for Computational Linguistics
- Quality Estimation Reranking for Document-Level Translation — 2025 · arXiv:2510.08870
- Quality-Aware Decoding: Unifying Quality Estimation and Decoding — 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)
- 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
- Rubrik''s Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Self-Vocabularizing Training for Neural Machine Translation — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
- Specification-Aware Machine Translation and Evaluation for Purpose Alignment — 2025 · Proceedings of the Tenth Conference on Machine Translation
- 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
- SwissADT: An Audio Description Translation System for Swiss Languages — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)
- TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- Tagged Span Annotation for Detecting Translation Errors in Reasoning LLMs — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Testing LLMs'' Capabilities in Annotating Translations Based on an Error Typology Designed for LSP Translation: First Experiments with ChatGPT — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
- Toward Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST) — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- 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)
- Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
- Two Step Automatic Post Editing of Patent Machine Translation based on Pre-trained Encoder Models and LLMs — 2025 · The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
- 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
- Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- 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
- WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- A Deep Analysis of the Impact of Multiword Expressions and Named Entities on Chinese-English Machine Translations — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- A Human Perspective on GPT-4 Translations: Analysing Faroese to English News and Blog Text Translations — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
- A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content — 2024 · Proceedings of the Ninth Conference on Machine Translation
- AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Analysis of the Annotations from a Crowd MT Evaluation Initiative: Case Study for the Spanish-Basque Pair — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
- Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content? — 2024 · Proceedings of the Eleventh Workshop on Asian Translation (WAT 2024)
- BMX: Boosting Natural Language Generation Metrics with Explainability — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
- Barriers to Effective Evaluation of Simultaneous Interpretation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
- Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels — 2024 · arXiv:2411.13775
- Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics — our card · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data — 2024 · Proceedings of the Ninth Conference on Machine Translation
- Beyond Reference: Evaluating High Quality Translations Better than Human References — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- COMET for Low-Resource Machine Translation Evaluation: A Case Study of English-Maltese and Spanish-Basque — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Can Automatic Metrics Assess High-Quality Translations? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Creative and Context-Aware Translation of East Asian Idioms with GPT-4 — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Enhancing Neural Machine Translation of Low-Resource Languages: Corpus Development, Human Evaluation and Explainable AI Architectures — 2024 · arXiv:2403.01580
- Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation — 2024 · Proceedings of the Ninth Conference on Machine Translation
- Evading Data Contamination Detection for Language Models is (too) Easy — 2024 · arXiv:2402.02823
- Evaluation Briefs: Drawing on Translation Studies for Human Evaluation of MT — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
- Evaluation and Continual Improvement for an Enterprise AI Assistant — 2024 · Proceedings of the Fifth Workshop on Data Science with Human-in-the-Loop (DaSH 2024)
- Exploring Human-Like Translation Strategy with Large Language Models — 2024 · Transactions of the Association for Computational Linguistics
- FINDINGS OF THE IWSLT 2024 EVALUATION CAMPAIGN — 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
- Finding Replicable Human Evaluations via Stable Ranking Probability — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels — 2024 · arXiv:2407.03658
- Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In! — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
- HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Improving Minimum Bayes Risk Decoding with Multi-Prompt — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study — 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024
- LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
- LLMs and Translation: different approaches to localization between Brazilian Portuguese and European Portuguese — 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1
- LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks — 2024 · arXiv:2406.18403
- LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods — 2024 · arXiv:2412.05579