Who cites «Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation»
- Assessing Quality of Experience in Natural Language Generation of German Text — 2026 · arXiv:2608.18888
- Automated evaluation of LLMs for effective machine translation of Mandarin Chinese to English — 2026 · arXiv:2603.09998
- Benchmarking Speech-to-Speech Translation Models — 2026 · arXiv:2606.03241
- Beyond BLEU: A Case for Redefining Sign Language Translation Benchmarks — 2026 · arXiv:2609.03734
- Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Can We Triage LLM Translation Errors in Classical Texts Without Human References? Source Novelty, GEMBA Scoring, and Budgeted Review through Pali-to-English Translation — 2026 · arXiv:2609.14963
- Contrastive ESA: Human Evaluation of Multiple Translations at Once — 2026 · arXiv:2607.26640
- Diagnose, Then Repair: A Two-Stage MQM-Guided Post-Editing Framework for Domain-Specific Machine Translation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
- Evaluating Communicative Success in Machine-Translated Conversation — 2026 · arXiv:2609.19885
- Evaluating LLM-Based Translation of a Low-Resource Technical Language: The Medical and Philosophical Greek of Galen — 2026 · arXiv:2602.24119
- FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
- FairQE: Multi-Agent Framework for Mitigating Gender Bias in Translation Quality Estimation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- From Outliers to Errors: Auditing Pali-to-English LLM Translations with Multi-Reference Adjudication — 2026 · arXiv:2606.01136
- Generating Difficult-to-Translate Texts — 2026 · Proceedings of the First Workshop on Multilingual Multicultural Evaluation
- Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs — 2026 · Transactions of the Association for Computational Linguistics
- In the Blind: Building Pseudo-References for MT Evaluation — 2026 · arXiv:2609.13611
- IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages — 2026 · arXiv:2608.16344
- Is Human Annotation Necessary? Iterative MBR Distillation for Error Span Detection in Machine Translation — 2026 · arXiv:2603.12983
- JP-TL-Bench: Anchored Pairwise LLM Evaluation for Bidirectional Japanese-English Translation — 2026 · arXiv:2601.00223
- LLM-as-a-Jury for Machine Translation Publishability Assessment — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
- LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- Large Language Models as Annotators for Machine Translation Quality Estimation — 2026 · arXiv:2603.10775
- Last Translation Benchmark — 2026 · arXiv:2609.04173
- LocQE: Principled Domain Adaptation for Localisation Quality Estimation by Leveraging Post-Edits — 2026 · arXiv:2609.18720
- MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Machine translation Evaluation Eng-Thai MQM Ranking dataset — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
- MetaDocEval: A Contrastive Framework for Evaluating Machine Translation Metrics at the Document-Level — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
- Mind Which Bird You Favour: Parameterizing Adequacy-Fluency Balance in Meta-Evaluation of Machine Translation — 2026 · arXiv:2609.14795
- Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
- Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine Translation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Pearmut: Human Evaluation of Translation Made Trivial — 2026 · arXiv:2601.02933
- Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning — 2026 · Transactions of the Association for Computational Linguistics
- Referenceless Evaluation of Machine Translation Models by Ranking Performance in Romanian to English Translate-train Settings — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Register Sensitivity in Scalar MT Evaluation: Evidence from Spanish–Basque Informal Discourse — 2026 · Proceedings of the SIGUL 2026 Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages
- Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Rubric-as-Experts: Case-Specific MQM Rubrics for Translation Error Span Detection — 2026 · arXiv:2606.21559
- Should We be Pedantic About Reasoning Errors in Machine Translation? — 2026 · arXiv:2604.09890
- SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic Languages — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Span-Level Machine Translation Meta-Evaluation — 2026 · arXiv:2603.19921
- SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- TQLite: Multi-LLM Jury Guided Distillation for Real-time MQM Translation Quality Evaluation — 2026 · arXiv:2608.02975
- TTLab at AlexandriaX-2026: A Fine-Tuned Surface Tagger for Arabic Machine-Translation Error-Span Detection and Classification — 2026 · arXiv:2609.29633
- The Blindness of Document-Level Translation Evaluation — 2026 · arXiv:2609.05949
- The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)
- To Write or to Automate Linguistic Prompts, That Is the Question — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
- Toward domain-specific machine translation and quality estimation systems — 2026 · arXiv:2603.24955
- Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation — 2026 · Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
- Translators'' Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation — 2026 · Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
- Using Model Disagreement to Identify Unstable Regions in MT Evaluation — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
- What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- When the Gold Standard Isn''t Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
- Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
- ``Be My Cheese?'''': Cultural Nuance Benchmarking for Machine Translation in Multilingual LLMs — 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)
- AI agents may be worth the hype but not the resources (yet): An initial exploration of machine translation quality and costs in three language pairs in the legal and news domains — 2025 · arXiv:2505.01560
- AI-Assisted Human Evaluation of 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 1: Long Papers)
- Align-then-Slide: A complete evaluation framework for Ultra-Long Document-Level Machine Translation — 2025 · arXiv:2509.03809
- Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- An Empirical Analysis of Machine Translation for Expanding Multilingual Benchmarks — 2025 · Proceedings of the Tenth Conference on Machine Translation
- An Evaluation Resource for Grounding Translation Errors — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- An Interdisciplinary Approach to Human-Centered Machine Translation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation — 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)
- Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost — 2025 · arXiv:2510.20780
- AskQE: Question Answering as Automatic Evaluation for Machine Translation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Audio-Based Crowd-Sourced Evaluation of Machine Translation Quality — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Automatic Input Rewriting Improves Translation with Large Language 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)
- COMET-poly: Machine Translation Metric Grounded in Other Candidates — 2025 · Proceedings of the Tenth Conference on Machine Translation
- CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated 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)
- Calibrating Translation Decoding with Quality Estimation on LLMs — 2025 · arXiv:2504.19044
- Command-A-Translate: Raising the Bar of Machine Translation with Difficulty Filtering — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Context-Aware Monolingual Evaluation of Machine Translation — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
- Context-Aware Monolingual Human Evaluation of Machine Translation — 2025 · arXiv:2504.07685
- Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization — 2025 · Proceedings of the Tenth Conference on Machine Translation
- Crosslingual Optimized Metric for Translation Assessment of Indian Languages — 2025 · arXiv:2509.17667
- D\''ej\`a Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation — 2025 · arXiv:2504.11829
- DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation — 2025 · Computational Linguistics
- Enhancing Human Evaluation in Machine Translation with Comparative Judgement — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Enhancing Human Evaluation in Machine Translation with Comparative Judgment — 2025 · arXiv:2502.17797
- Enhancing Machine Translation with Self-Supervised Preference Data — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Estimating Machine Translation Difficulty — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Evaluating Evaluation Metrics for Ancient Chinese to English Machine Translation — 2025 · Proceedings of the Second Workshop on Ancient Language Processing
- Evaluating Language Translation Models by Playing Telephone — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- 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 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
- Gender Bias in English-to-Greek Machine Translation — 2025 · Proceedings of the 3rd Workshop on Gender-Inclusive Translation Technologies (GITT 2025)
- 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
- 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)
- 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
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