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# Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 4

1093 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/popovic-2015-chrf-character-n-gram-f/)

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1. [Grammar-based Data Augmentation for Low-Resource Languages: The Case of Guarani-Spanish Neural Machine Translation](https://aclanthology.org/2024.naacl-long.354/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
2. [Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!](https://aclanthology.org/2024.acl-long.856/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [GuyLingo: The Republic of Guyana Creole Corpora](https://aclanthology.org/2024.naacl-short.70/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
4. [How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?](https://aclanthology.org/2024.acl-short.58/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
5. [How Grammatical Features Impact Machine Translation: A New Test Suite for Chinese-English MT Evaluation](https://aclanthology.org/2024.wmt-1.117/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
6. [Hybrid Distillation from RBMT and NMT: Helsinki-NLP''s Submission to the Shared Task on Translation into Low-Resource Languages of Spain](https://aclanthology.org/2024.wmt-1.88/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
7. [Improving Low-Resource Machine Translation for Formosan Languages Using Bilingual Lexical Resources](https://aclanthology.org/2024.findings-acl.670/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
8. [Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding](https://aclanthology.org/2024.findings-acl.786/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
9. [Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features](https://aclanthology.org/2024.findings-acl.620/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
10. [Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy](https://aclanthology.org/2024.wmt-1.118/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
11. [IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages](https://aclanthology.org/2024.acl-long.595/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [Is Explanation All You Need? An Expert Survey on LLM-generated Explanations for Abusive Language Detection](https://aclanthology.org/2024.clicit-1.34/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
13. [Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis](https://aclanthology.org/2024.wmt-1.127/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
14. [Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text](https://aclanthology.org/2024.emnlp-main.1239/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
15. [KazParC: Kazakh Parallel Corpus for Machine Translation](https://aclanthology.org/2024.lrec-main.842/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
16. [Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages](https://aclanthology.org/2024.naacl-long.170/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
17. [LangBridge: Multilingual Reasoning Without Multilingual Supervision](https://aclanthology.org/2024.acl-long.405/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation](https://aclanthology.org/2024.findings-acl.135/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
19. [Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages](https://aclanthology.org/2024.amta-research.2/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
20. [Lexically Grounded Subword Segmentation](https://aclanthology.org/2024.emnlp-main.421/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
21. [Linear-time Minimum Bayes Risk Decoding with Reference Aggregation](https://aclanthology.org/2024.acl-short.71/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
22. [LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Reasoning](https://arxiv.org/abs/2412.12499) *— 2024 · arXiv:2412.12499*
23. [Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation](https://aclanthology.org/2024.findings-acl.211/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
24. [MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks](https://aclanthology.org/2024.naacl-long.143/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
25. [Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning](https://aclanthology.org/2024.wmt-1.69/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
26. [Machine Translation Metrics Are Better in Evaluating Linguistic Errors on LLMs than on Encoder-Decoder Systems](https://aclanthology.org/2024.wmt-1.37/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
27. [MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences](https://arxiv.org/abs/2410.02381) *— 2024 · arXiv:2410.02381*
28. [MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task](https://aclanthology.org/2024.wmt-1.35/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
29. [Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding](https://aclanthology.org/2024.eacl-short.4/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
30. [Mitigating Metric Bias in Minimum Bayes Risk Decoding](https://aclanthology.org/2024.wmt-1.109/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
31. [Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation](https://aclanthology.org/2024.emnlp-main.803/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
32. [Modified Iterative Matching and Translation Approach for Formality Style Transfer in a Low-Resource Setting](https://aclanthology.org/2024.paclic-1.55/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
33. [NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries](https://aclanthology.org/2024.findings-acl.471/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
34. [Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies](https://aclanthology.org/2024.acl-long.110/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants](https://md.mova.elamur.ai/free/en/docs/papers/rubino-2024-normalizing-without-modernizing-keeping-historical/) *— our card · 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
36. [Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References](https://aclanthology.org/2024.naacl-long.367/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
37. [On Instruction-Finetuning Neural Machine Translation Models](https://aclanthology.org/2024.wmt-1.114/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
38. [On the Robustness of Neural Models for Full Sentence Transformation](https://aclanthology.org/2024.americasnlp-1.19/) *— 2024 · Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)*
39. [On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models](https://aclanthology.org/2024.acl-short.12/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
40. [Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows](https://aclanthology.org/2024.wmt-1.101/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
41. [Overview of the GermEval 2024 Shared Task on Statement Segmentation in German Easy Language (StaGE)](https://aclanthology.org/2024.germeval-1.1/) *— 2024 · Proceedings of GermEval 2024 Shared Task on Statement Segmentation in German Easy Language (StaGE)*
42. [Overview of the Shared Task on Machine Translation Gender Bias Evaluation with Multilingual Holistic Bias](https://aclanthology.org/2024.gebnlp-1.26/) *— 2024 · Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)*
43. [Penetrative AI: Making LLMs Comprehend the Physical World](https://aclanthology.org/2024.findings-acl.437/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
44. [Pitfalls and Outlooks in Using COMET](https://aclanthology.org/2024.wmt-1.121/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
45. [Post-edits Are Preferences Too](https://aclanthology.org/2024.wmt-1.122/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
46. [Probing Omissions and Distortions in Transformer-based RDF-to-Text Models](https://arxiv.org/abs/2409.16707) *— 2024 · arXiv:2409.16707*
47. [Prompting Large Language Models for Idiomatic Translation](https://aclanthology.org/2024.ctt-1.4/) *— 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology*
48. [Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models](https://aclanthology.org/2024.findings-acl.936/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
49. [Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora](https://aclanthology.org/2024.eacl-long.52/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
50. [Quality Estimation with $k$-nearest Neighbors and Automatic Evaluation for Model-specific Quality Estimation](https://aclanthology.org/2024.eamt-1.14/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
51. [Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model](https://aclanthology.org/2024.acl-long.836/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
52. [RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning](https://arxiv.org/abs/2410.02089) *— 2024 · arXiv:2410.02089*
53. [Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin](https://aclanthology.org/2024.loresmt-1.13/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
54. [SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages](https://aclanthology.org/2024.emnlp-main.296/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
55. [SambaLingo: Teaching Large Language Models New Languages](https://aclanthology.org/2024.mrl-1.1/) *— 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)*
56. [Sign Language Translation with Sentence Embedding Supervision](https://aclanthology.org/2024.acl-short.40/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
57. [SimCLNMT: A Simple Contrastive Learning Method for Enhancing Neural Machine Translation Quality](https://aclanthology.org/2024.ccl-1.81/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
58. [SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection](https://aclanthology.org/2024.semeval-1.125/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
59. [Spanish Corpus and Provenance with Computer-Aided Translation for the WMT24 OLDI Shared Task](https://aclanthology.org/2024.wmt-1.50/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
60. [Speech vs. Transcript: Does It Matter for Human Annotators in Speech Summarization?](https://aclanthology.org/2024.acl-long.790/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
61. [Teaching Large Language Models an Unseen Language on the Fly](https://aclanthology.org/2024.findings-acl.519/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
62. [The Bangla/Bengali Seed Dataset Submission to the WMT24 Open Language Data Initiative Shared Task](https://aclanthology.org/2024.wmt-1.42/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
63. [The unreasonable effectiveness of large language models for low-resource clause-level morphology: In-context generalization or prior exposure?](https://aclanthology.org/2024.americasnlp-1.20/) *— 2024 · Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)*
64. [Toucan: Many-to-Many Translation for 150 African Language Pairs](https://aclanthology.org/2024.findings-acl.781/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
65. [Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages](https://arxiv.org/abs/2404.02512) *— 2024 · arXiv:2404.02512*
66. [Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation](https://aclanthology.org/2024.findings-acl.710/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
67. [Tower: An Open Multilingual Large Language Model for Translation-Related Tasks](https://arxiv.org/abs/2402.17733) *— 2024 · arXiv:2402.17733*
68. [Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts](https://aclanthology.org/2024.wmt-1.123/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
69. [Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering](https://aclanthology.org/2024.findings-acl.308/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
70. [Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages](https://aclanthology.org/2024.loresmt-1.1/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
71. [Unifying Structured Data as Graph for Data-to-Text Pre-Training](https://aclanthology.org/2024.tacl-1.12/) *— 2024 · Transactions of the Association for Computational Linguistics*
72. [WebLINX: Real-World Website Navigation with Multi-Turn Dialogue](https://arxiv.org/abs/2402.05930) *— 2024 · arXiv:2402.05930*
73. [``According to . . . ``: Prompting Language Models Improves Quoting from Pre-Training Data](https://aclanthology.org/2024.eacl-long.140/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
74. [chrF-S: Semantics Is All You Need](https://aclanthology.org/2024.wmt-1.33/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
75. [mbrs: A Library for Minimum Bayes Risk Decoding](https://aclanthology.org/2024.emnlp-demo.37/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
76. [xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics](https://aclanthology.org/2024.emnlp-main.1223/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
77. [xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection](https://aclanthology.org/2024.tacl-1.54/) *— 2024 · Transactions of the Association for Computational Linguistics*
78. [xTower: A Multilingual LLM for Explaining and Correcting Translation Errors](https://aclanthology.org/2024.findings-emnlp.892/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
79. [A Call for Standardization and Validation of Text Style Transfer Evaluation](https://aclanthology.org/2023.findings-acl.687/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
80. [A Filtering Approach to Object Region Detection in Multimodal Machine Translation](https://aclanthology.org/2023.mtsummit-research.33/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
81. [A Holistic Approach to Reference-Free Evaluation of Machine Translation](https://aclanthology.org/2023.acl-short.55/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
82. [A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity](https://arxiv.org/abs/2302.04023) *— 2023 · arXiv:2302.04023*
83. [A Natural Bias for Language Generation Models](https://aclanthology.org/2023.acl-short.22/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
84. [A Study on the Effectiveness of Large Language Models for Translation with Markup](https://aclanthology.org/2023.mtsummit-research.13/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
85. [AMR4NLI: Interpretable and robust NLI measures from semantic graphs](https://aclanthology.org/2023.iwcs-1.29/) *— 2023 · Proceedings of the 15th International Conference on Computational Semantics*
86. [Adapting Machine Translation Education to the Neural Era: A Case Study of MT Quality Assessment](https://aclanthology.org/2023.eamt-1.30/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
87. [Addressing the Length Bias Challenge in Document-Level Neural Machine Translation](https://aclanthology.org/2023.findings-emnlp.773/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
88. [AlignScore: Evaluating Factual Consistency with A Unified Alignment Function](https://aclanthology.org/2023.acl-long.634/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [Automatic Evaluation and Analysis of Idioms in Neural Machine Translation](https://aclanthology.org/2023.eacl-main.267/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
90. [Automating Behavioral Testing in Machine Translation](https://aclanthology.org/2023.wmt-1.97/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
91. [BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models](https://arxiv.org/abs/2309.06085) *— 2023 · arXiv:2309.06085*
92. [BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric](https://aclanthology.org/2023.acl-long.504/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
93. [BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training](https://aclanthology.org/2023.acl-long.297/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [Benchmarking Large Language Model Capabilities for Conditional Generation](https://aclanthology.org/2023.acl-long.511/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [Benchmarking Procedural Language Understanding for Low-Resource Languages: A Case Study on Turkish](https://aclanthology.org/2023.ijcnlp-main.52/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
96. [Better Translation + Split and Generate for Multilingual RDF-to-Text (WebNLG 2023)](https://aclanthology.org/2023.mmnlg-1.8/) *— 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)*
97. [Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics](https://aclanthology.org/2023.mtsummit-research.16/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
98. [Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy](https://aclanthology.org/2023.findings-acl.334/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
99. [Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation](https://aclanthology.org/2023.acl-long.122/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [Bubble up – A Fine-tuning Approach for Style Transfer to Community-specific Subreddit Language](https://aclanthology.org/2023.cpss-1.5/) *— 2023 · Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences*

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