Who cites «COMET: A Neural Framework for MT Evaluation» · page 9
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- Semantically Informed Slang Interpretation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- SubER - A Metric for Automatic Evaluation of Subtitle Quality — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
- Subword-Delimited Downsampling for Better Character-Level Translation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- The EuroPat Corpus: A Parallel Corpus of European Patent Data — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Towards Robust k-Nearest-Neighbor Machine Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Twist Decoding: Diverse Generators Guide Each Other — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- UniTE: Unified Translation Evaluation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Vega-MT: The JD Explore Academy Machine Translation System for WMT22 — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
- Who Are We Talking About? Handling Person Names in Speech Translation — 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
- Why don't people use character-level machine translation? — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
- Why is sentence similarity benchmark not predictive of application-oriented task performance? — 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems
- XInfoTabS: Evaluating Multilingual Tabular Natural Language Inference — 2022 · Proceedings of the Fifth Fact Extraction and VERification Workshop (FEVER)
- A Fine-Grained Analysis of BERTScore — 2021 · Proceedings of the Sixth Conference on Machine Translation
- A Large-Scale Study of Machine Translation in Turkic Languages — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task — 2021 · Proceedings of the Sixth Conference on Machine Translation
- Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity — 2021 · Proceedings for the First Workshop on Modelling Translation: Translatology in the Digital Age
- Automatic Text Evaluation through the Lens of Wasserstein Barycenters — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- BARTScore: Evaluating Generated Text as Text Generation — 2021 · arXiv:2106.11520
- CUNI Systems for WMT21: Terminology Translation Shared Task — 2021 · Proceedings of the Sixth Conference on Machine Translation
- Data Augmentation for Sign Language Gloss Translation — 2021 · Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL)
- Do Context-Aware Translation Models Pay the Right Attention? — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Don''t Go Far Off: An Empirical Study on Neural Poetry Translation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation — our card · 2021
- Findings of the WMT 2021 Shared Task on Efficient Translation — 2021 · Proceedings of the Sixth Conference on Machine Translation
- Focus Attention: Promoting Faithfulness and Diversity in Summarization — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Generic resources are what you need: Style transfer tasks without task-specific parallel training data — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- HW-TSC's Participation at WMT 2021 Quality Estimation Shared Task — 2021 · Proceedings of the Sixth Conference on Machine Translation
- IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task — 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems
- Language Model Augmented Relevance Score — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Learning Compact Metrics for MT — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Levenshtein Training for Word-level Quality Estimation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- MT-Telescope: An interactive platform for contrastive evaluation of MT systems — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations
- Measuring and Increasing Context Usage in Context-Aware Machine Translation — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task — 2021 · Proceedings of the Sixth Conference on Machine Translation
- Multilingual Unsupervised Neural Machine Translation with Denoising Adapters — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Pruning Neural Machine Translation for Speed Using Group Lasso — 2021 · Proceedings of the Sixth Conference on Machine Translation
- Reference-Free Word- and Sentence-Level Translation Evaluation with Token-Matching Metrics — 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems
- Regressive Ensemble for Machine Translation Quality Evaluation — 2021 · Proceedings of the Sixth Conference on Machine Translation
- Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain — 2021 · Proceedings of the Sixth Conference on Machine Translation
- RoBLEURT Submission for WMT2021 Metrics Task — 2021 · Proceedings of the Sixth Conference on Machine Translation
- Robust Open-Vocabulary Translation from Visual Text Representations — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Semantic Similarity Based Evaluation for Abstractive News Summarization — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation — 2021 · Proceedings of the Sixth Conference on Machine Translation
- Towards More Fine-grained and Reliable NLP Performance Prediction — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Uncertainty-Aware Machine Translation Evaluation — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- 融合XLM词语表示的神经机器译文自动评价方法(Neural Automatic Evaluation of Machine Translation Method Combined with XLM Word Representation) — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
- An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil — 2020 · Proceedings of the 7th Workshop on Asian Translation
- Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task — 2020 · Proceedings of the Fifth Conference on Machine Translation
- Results of the WMT20 Metrics Shared Task — 2020 · Proceedings of the Fifth Conference on Machine Translation
- Unbabel's Participation in the WMT20 Metrics Shared Task — 2020 · Proceedings of the Fifth Conference on Machine Translation
- abela-2024-tokenisation-machine-translation-does-matter
- abubakar-2025-hausanlp-semeval-2025-task-2
- aggarwal-2023-evaluating-inter-bilingual-semantic-parsing
- ahmadi-2025-conloan-contrastive-multilingual-dataset-evaluating
- alabi-2024-exploring-inline-lexicon-injection-cross
- alam-2026-llm-judge-deterministic-metrics-multilingual
- ali-2025-leveraging-loanword-constraints-improving-machine
- alves-2022-unbabel-ist-wmt-chat-translation
- appicharla-2023-case-study-context-encoding-multi
- asscher-2026-ethica-mt-introducing-framework-dataset
- ataee-2025-chain-thought-reasoning-improves-context
- aulamo-2026-challenge-finding-robust-efficient-strategies
- avila-2024-reduction-des-repetitions-dans-la
- awobade-2026-afrivox-probing-multilingual-accent-robustness
- bakker-2026-llm-evaluation-practice-review-metrics
- balal-2026-diversity-aware-literary-machine-translation
- baziotis-2024-when-does-monolingual-data-help
- berger-2026-generation-evaluation-resource-error-categorized
- borisov-2025-low-resource-machine-translation-code
- bouthors-2026-improving-retrieval-augmented-neural-machine
- braggaar-2026-evaluating-task-oriented-dialogue-systems
- brien-2026-evaluation-pose-estimation-systems-sign
- bu-2026-language-demand-knowledge-core-composing
- cabeca-2023-quality-fit-purpose-building-business
- camargo-2024-perceptions-educators-mtqa-curriculum-instruction
- cao-2026-completely-modular-fine-tuning-dynamic
- castello-2026-enhancing-llm-translation-performance-spanish
- catapang-2026-position-metric-typology-language-model
- chakraborty-2026-codeclarity-framework-benchmark-evaluating-multilingual
- chaoui-2026-neural-machine-translation-coptic-french
- chatterjee-2026-hat-hallucination-annotation-translation
- chen-2021-machine-translation-low-resource-indo
- chen-2024-improving-nmt-low-resource-source
- cheng-2024-task-arithmetic-language-expansion-speech
- cheng-2025-bayesian-optimization-approach-machine-translation
- cheng-2026-improving-long-context-translation-self
- chintada-2026-visually-guided-movie-subtitle-translation
- cho-2025-crepe-rapid-chest-x-ray
- choudhary-2025-exploring-context-strategies-llms-discourse
- chousa-2025-automatic-evaluation-language-generation-technology
- cisse-2026-kumatigi-quality-driven-data-augmentation
- coleman-2026-comparing-llm-based-translation-approaches
- czehmann-2026-sacred-bird-called-phoenix-auditing
- dabre-2024-how-effective-is-synthetic-data
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