---
title: "Who cites chrF: character n-gram F-score for automatic MT…"
description: "The papers of the Elamur Research library that cite «chrF: character n-gram F-score for automatic MT evaluation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/2/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [chrF: character n-gram F-score for automatic MT…](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/) / cited by

# Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 2

1094 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/) · **2** · [3](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/3/) · … · [11](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/11/)

1. [Paritok-4B: Intent-Conditioned Context Compression for Coding Agents](https://arxiv.org/abs/2608.24188) *— 2026 · arXiv:2608.24188*
2. [ParsTranslit: Truly Versatile Tajik-Farsi Transliteration](https://aclanthology.org/2026.findings-eacl.73/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
3. [PatentVision: A multimodal method for drafting patent applications](https://aclanthology.org/2026.eacl-industry.29/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track)*
4. [Polite on the Surface, Broken in Practice: A Curated Dataset for Fixing Generation and Register Failures in Low-Resource Bangla Text Generation](https://arxiv.org/abs/2605.22487) *— 2026 · arXiv:2605.22487*
5. [RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation](https://aclanthology.org/2026.findings-acl.1696/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
6. [Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and Domains](https://aclanthology.org/2026.findings-acl.68/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
7. [Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoning](https://arxiv.org/abs/2607.19181) *— 2026 · arXiv:2607.19181*
8. [Reasoning over Grammar: Can Synthetic Linguistic Reasoning Traces Enhance Low-Resource Machine Translation?](https://arxiv.org/abs/2606.03782) *— 2026 · arXiv:2606.03782*
9. [Redefining Machine Simultaneous Interpretation: From Incremental Translation to Human-Like Strategies](https://aclanthology.org/2026.findings-acl.611/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
10. [Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations](https://aclanthology.org/2026.findings-acl.364/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
11. [Retrieval-Augmented Long-Context Translation for Cultural Image Captioning: Gators submission for AmericasNLP 2026 shared task](https://aclanthology.org/2026.americasnlp-6.19/) *— 2026 · Proceedings of the Sixth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
12. [Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages](https://aclanthology.org/2026.acl-long.1171/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [SALT-31: A Machine Translation Benchmark Dataset for 31 Ugandan Languages](https://aclanthology.org/2026.africanlp-main.21/) *— 2026 · Proceedings of the 7th Workshop on African Natural Language Processing (AfricaNLP 2026)*
14. [Science Across Languages: Assessing LLM Multilingual Translation of Scientific Papers](https://aclanthology.org/2026.findings-eacl.204/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
15. [SimpCue: Cue-Based Prompting for Multilingual Text Simplification](https://arxiv.org/abs/2608.28042) *— 2026 · arXiv:2608.28042*
16. [SinMix2Mono: A Dataset for Code-mixed Romanized Sinhala Translation and Transliteration](https://aclanthology.org/2026.eamt-1.10/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
17. [SmartMatch: Real-Time Semantic Retrieval for Translation Memory Systems](https://aclanthology.org/2026.eacl-demo.36/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
18. [Smarter edits? Post-editing with error highlights and translation suggestions](https://aclanthology.org/2026.eamt-1.41/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
19. [Source-Free MT Evaluation Is Not MT Evaluation](https://arxiv.org/abs/2608.20925) *— 2026 · arXiv:2608.20925*
20. [Span-Level Machine Translation Meta-Evaluation](https://arxiv.org/abs/2603.19921) *— 2026 · arXiv:2603.19921*
21. [Speech Translation and Metrics in 2026: Findings of the IWSLT Campaign](https://aclanthology.org/2026.iwslt-1.39/) *— 2026 · Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026)*
22. [Style and Terminology in Commercial Flows: Mixing APE with Iterative Feedback](https://aclanthology.org/2026.stygenai-1.4/) *— 2026 · Proceedings of the First Workshop on Style in GenAI-Translated Content (StyGenAI)*
23. [TOWER+: Bridging Generality and Translation Specialization in Multilingual LLMs](https://aclanthology.org/2026.acl-long.1366/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [TabReX: Tabular Referenceless eXplainable Evaluation](https://aclanthology.org/2026.acl-long.2176/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [TableMBR: Minimum Bayes Risk Table Generation Based on Structural Consistency](https://aclanthology.org/2026.acl-srw.95/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
26. [Tao–Filipino Neural Machine Translation: Strategies for Ultra–Low-Resource Settings](https://aclanthology.org/2026.loresmt-1.2/) *— 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
27. [TechING: Towards Real World Technical Image Understanding via VLMs](https://aclanthology.org/2026.findings-eacl.142/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
28. [TeochewBench: A Human-Reviewed Benchmark for Teochew Hanzi Translation](https://arxiv.org/abs/2609.18156) *— 2026 · arXiv:2609.18156*
29. [Terminology-Aware Retrieval-Augmented Knowledge Distillation for Biomedical Neural Machine Translation](https://aclanthology.org/2026.eamt-1.26/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
30. [The Blindness of Document-Level Translation Evaluation](https://arxiv.org/abs/2609.05949) *— 2026 · arXiv:2609.05949*
31. [The CUHKSZ System for the IWSLT 2026 Low-Resource Speech-to-Text Task](https://aclanthology.org/2026.iwslt-1.33/) *— 2026 · Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026)*
32. [The Challenge of Finding Robust and Efficient Strategies for Training Machine Translation Models with Noisy Data](https://aclanthology.org/2026.eamt-1.13/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
33. [The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform](https://aclanthology.org/2026.eamt-2.30/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)*
34. [The Role of Mixed-Language Documents for Multilingual Large Language Model Pretraining](https://aclanthology.org/2026.acl-long.1706/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [To Write or to Automate Linguistic Prompts, That Is the Question](https://aclanthology.org/2026.eamt-1.8/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
36. [Toward domain-specific machine translation and quality estimation systems](https://arxiv.org/abs/2603.24955) *— 2026 · arXiv:2603.24955*
37. [Towards Dynamic Attention Masking for Simultaneous Speech Translation](https://aclanthology.org/2026.iwslt-1.20/) *— 2026 · Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026)*
38. [Towards Privacy-Preserving Machine Translation at the Inference Stage: A New Task and Benchmark](https://arxiv.org/abs/2603.14756) *— 2026 · arXiv:2603.14756*
39. [Towards Singable Lyrics Translation Using Large Language Models](https://aclanthology.org/2026.eacl-srw.42/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
40. [Towards Visually-Guided Movie Subtitle Translation for Indic Languages](https://aclanthology.org/2026.eamt-2.28/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)*
41. [Translating Under Pressure: Domain-Aware LLMs for Crisis Communication](https://aclanthology.org/2026.eamt-1.5/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
42. [Translation Analytics for Freelancers II: Benchmarking Local LLMs for Confidential Translation Workflows](https://aclanthology.org/2026.eamt-1.37/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
43. [Translation Is Not Representation: English-Hub Routing in Cross-Lingual Bias Benchmarks](https://aclanthology.org/2026.stereacult-1.11/) *— 2026 · Proceedings of the 1st Workshop on Stereotypes Across Cultures in Language Technologies (StereACuLT 2026)*
44. [Translation via Annotation: A Computational Study of Translating Classical Chinese into Japanese](https://aclanthology.org/2026.eacl-long.285/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation](https://aclanthology.org/2026.amta-research.2/) *— 2026 · Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
46. [UPDESH: Synthesizing Grounded Instruction Tuning Data for 13 Indic Languages](https://aclanthology.org/2026.acl-long.1763/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [Unified Multi-Dialectal Neural Machine Translation for Bangla Using the Dwadash Benchmark Corpus](https://arxiv.org/abs/2608.12018) *— 2026 · arXiv:2608.12018*
48. [Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding](https://aclanthology.org/2026.eacl-long.220/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [WER is Unaware: Assessing How ASR Errors Distort Clinical Understanding in Patient Facing Dialogue](https://aclanthology.org/2026.iwsds-1.39/) *— 2026 · Proceedings of the 16th International Workshop on Spoken Dialogue System Technology*
50. [WIGVO: Real-Time Bidirectional Speech Translation over Legacy PSTN Calls via Dual-Session Echo Gating](https://aclanthology.org/2026.acl-demo.33/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
51. [When a Name Is Not a Name: A Benchmark Dataset and Distilled Reasoning for Culturally Entangled Bangla Homographs in Low-Resource LLMs](https://arxiv.org/abs/2607.17828) *— 2026 · arXiv:2607.17828*
52. [XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics](https://aclanthology.org/2026.findings-acl.1846/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
53. [A Benchmark for Translations Across Styles and Language Variants](https://aclanthology.org/2025.findings-emnlp.129/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
54. [A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge”ez Script.](https://aclanthology.org/2025.emnlp-main.523/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
55. [A Comparative Analysis of Retrieval-Augmented Generation Techniques for Bengali Standard-to-Dialect Machine Translation Using LLMs](https://aclanthology.org/2025.banglalp-1.22/) *— 2025 · Proceedings of the Second Workshop on Bangla Language Processing (BLP-2025)*
56. [A Cross-Lingual Perspective on Neural Machine Translation Difficulty](https://aclanthology.org/2025.wmt-1.21/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
57. [A Framework for Large-Scale Parallel Corpus Evaluation: Ensemble Quality Estimation Models Versus Human Assessment](https://aclanthology.org/2025.unlp-1.9/) *— 2025 · Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025)*
58. [A Representation Level Analysis of NMT Model Robustness to Grammatical Errors](https://aclanthology.org/2025.findings-acl.451/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
59. [A Semantic Uncertainty Sampling Strategy for Back-Translation in Low-Resources Neural Machine Translation](https://aclanthology.org/2025.acl-srw.35/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
60. [A-TASC: Asian TED-Based Automatic Subtitling Corpus](https://aclanthology.org/2025.acl-long.157/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
61. [AFRIDOC-MT: Document-level MT Corpus for African Languages](https://aclanthology.org/2025.emnlp-main.1413/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
62. [AI-Driven Generation of Old English: A Framework for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/alva-2025-ai-driven-generation-old-english/) *— our card · 2025 · arXiv:2507.20111*
63. [AL-QASIDA: Analyzing LLM Quality and Accuracy Systematically in Dialectal Arabic](https://aclanthology.org/2025.findings-acl.1137/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
64. [ATAIGI: An AI-Powered Multimodal Learning App Leveraging Generative Models for Low-Resource Taiwanese Hokkien](https://aclanthology.org/2025.naacl-demo.2/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)*
65. [Adapting Definition Modeling for New Languages: A Case Study on Belarusian](https://aclanthology.org/2025.bsnlp-1.8/) *— 2025 · Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025)*
66. [Adapting IndicTrans2 for Legal Domain MT via QLoRA Fine-Tuning at JUST-NLP 2025](https://aclanthology.org/2025.justnlp-main.15/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
67. [Adding Chocolate to Mint: Mitigating Metric Interference in Machine Translation](https://aclanthology.org/2025.tacl-1.60/) *— 2025 · Transactions of the Association for Computational Linguistics*
68. [Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding](https://aclanthology.org/2025.ijcnlp-short.39/) *— 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*
69. [Alligators All Around: Mitigating Lexical Confusion in Low-resource Machine Translation](https://aclanthology.org/2025.naacl-short.18/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
70. [Analysis of Vocabulary and Subword Tokenization Settings for Optimal Fine-tuning of MT: A Case Study of In-domain Translation](https://aclanthology.org/2025.ranlp-1.111/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
71. [Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation](https://aclanthology.org/2025.naacl-long.111/) *— 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)*
72. [Arabizi vs LLMs: Can the Genie Understand the Language of Aladdin?](https://aclanthology.org/2025.mtsummit-2.4/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 2*
73. [Are Generative Models Underconfident? Better Quality Estimation with Boosted Model Probability](https://aclanthology.org/2025.emnlp-main.166/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
74. [Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages](https://aclanthology.org/2025.findings-naacl.468/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
75. [Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost](https://arxiv.org/abs/2510.20780) *— 2025 · arXiv:2510.20780*
76. [AskQE: Question Answering as Automatic Evaluation for Machine Translation](https://aclanthology.org/2025.findings-acl.899/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
77. [Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect](https://aclanthology.org/2025.loreslm-1.2/) *— 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
78. [Audio Description Generation in the Era of LLMs and VLMs: A Review of Transferable Generative AI Technologies](https://aclanthology.org/2025.findings-naacl.29/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
79. [Automatic Accent Restoration in Vedic Sanskrit with Neural Language Models](https://aclanthology.org/2025.bhasha-1.7/) *— 2025 · Proceedings of the 1st Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages (BHASHA 2025)*
80. [Automatic Fact-checking in English and Telugu](https://aclanthology.org/2025.lowresnlp-1.15/) *— 2025 · Proceedings of the First Workshop on Advancing NLP for Low-Resource Languages*
81. [Automatic Input Rewriting Improves Translation with Large Language Models](https://aclanthology.org/2025.naacl-long.542/) *— 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)*
82. [Balancing Translation Quality and Environmental Impact: Comparing Large and Small Language Models](https://aclanthology.org/2025.clicit-1.20/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
83. [Bayelemabaga: Creating Resources for Bambara NLP](https://aclanthology.org/2025.naacl-long.602/) *— 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)*
84. [Benchmarking Critical Questions Generation: A Challenging Reasoning Task for Large Language Models](https://aclanthology.org/2025.findings-emnlp.302/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
85. [Benchmarking IsiXhosa Automatic Speech Recognition and Machine Translation for Digital Health Provision](https://aclanthology.org/2025.cl4health-1.14/) *— 2025 · Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health)*
86. [Benchmarking LLMs on Semantic Overlap Summarization](https://aclanthology.org/2025.emnlp-main.1692/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
87. [Beyond Generalization :Evaluating Multilingual LLMs for Yorùbá Animal Health Translation](https://aclanthology.org/2025.africanlp-1.28/) *— 2025 · Proceedings of the Sixth Workshop on African Natural Language Processing (AfricaNLP 2025)*
88. [Beyond N-Grams: Rethinking Evaluation Metrics and Strategies for Multilingual Abstractive Summarization](https://aclanthology.org/2025.acl-long.932/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [Beyond Text Compression: Evaluating Tokenizers Across Scales](https://aclanthology.org/2025.acl-long.1546/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation](https://aclanthology.org/2025.ijcnlp-long.125/) *— 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*
91. [Beyond the Mode: Sequence-Level Distillation of Multilingual Translation Models for Low-Resource Language Pairs](https://aclanthology.org/2025.findings-naacl.372/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
92. [BiMax: Bidirectional MaxSim Score for Document-Level Alignment](https://aclanthology.org/2025.findings-emnlp.704/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
93. [Bilingual English-Vietnamese Medical Translation Model](https://aclanthology.org/2025.vlsp-1.46/) *— 2025 · Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing*
94. [Breaking the Silence: A Dataset and Benchmark for Bangla Text-to-Gloss Translation](https://arxiv.org/abs/2504.02293) *— 2025 · arXiv:2504.02293*
95. [C A N C E R: Corpus for Accurate Non-English Cancer-related Educational Resources](https://aclanthology.org/2025.globalnlp-1.22/) *— 2025 · Proceedings of the Workshop on Beyond English: Natural Language Processing for all Languages in an Era of Large Language Models*
96. [COCO-Urdu: A Large-Scale Urdu Image-Caption Dataset with Multimodal Quality Estimation](https://arxiv.org/abs/2509.09014) *— 2025 · arXiv:2509.09014*
97. [COMET-poly: Machine Translation Metric Grounded in Other Candidates](https://aclanthology.org/2025.wmt-1.63/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
98. [COMI-LINGUA: Expert Annotated Large-Scale Dataset for Multitask NLP in Hindi-English Code-Mixing](https://aclanthology.org/2025.findings-emnlp.422/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
99. [CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells](https://aclanthology.org/2025.naacl-long.457/) *— 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)*
100. [CUNI and Phrase at WMT25 MT Evaluation Task](https://aclanthology.org/2025.wmt-1.68/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*

Pages: [1](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/) · **2** · [3](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/3/) · … · [11](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/11/)
