---
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/6/"
---
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# Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 6

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/) · … · [5](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/5/) · **6** · [7](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/7/) · … · [11](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/11/)

1. [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*
2. [Impacts of Misspelled Queries on Translation and Product Search](https://aclanthology.org/2024.acl-long.750/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Improving Context Usage for Translating Bilingual Customer Support Chat with Large Language Models](https://aclanthology.org/2024.wmt-1.100/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
4. [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*
5. [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*
6. [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*
7. [Improving Sign Language Production in the Healthcare Domain Using UMLS and Multi-task Learning](https://aclanthology.org/2024.cl4health-1.1/) *— 2024 · Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024*
8. [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*
9. [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)*
10. [Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models](https://aclanthology.org/2024.insights-1.19/) *— 2024 · Proceedings of the Fifth Workshop on Insights from Negative Results in NLP*
11. [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)*
12. [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*
13. [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*
14. [JGU Mainz's Submission to the AmericasNLP 2024 Shared Task on the Creation of Educational Materials for Indigenous Languages](https://aclanthology.org/2024.americasnlp-1.23/) *— 2024 · Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)*
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. [KlarTextCoders at StaGE: Automatic Statement Annotations for German Easy Language](https://aclanthology.org/2024.germeval-1.2/) *— 2024 · Proceedings of GermEval 2024 Shared Task on Statement Segmentation in German Easy Language (StaGE)*
17. [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)*
18. [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)*
19. [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*
20. [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)*
21. [Lexically Grounded Subword Segmentation](https://aclanthology.org/2024.emnlp-main.421/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
22. [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)*
23. [LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Reasoning](https://arxiv.org/abs/2412.12499) *— 2024 · arXiv:2412.12499*
24. [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*
25. [MAGNET - MAchines GeNErating Translations: A CALAMITA Challenge](https://aclanthology.org/2024.clicit-1.120/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
26. [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)*
27. [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*
28. [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*
29. [Machine Translation Through Cultural Texts: Can Verses and Prose Help Low-Resource Indigenous Models?](https://aclanthology.org/2024.loresmt-1.12/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
30. [MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences](https://arxiv.org/abs/2410.02381) *— 2024 · arXiv:2410.02381*
31. [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*
32. [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)*
33. [Mitigating Metric Bias in Minimum Bayes Risk Decoding](https://aclanthology.org/2024.wmt-1.109/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
34. [Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics](https://aclanthology.org/2024.emnlp-main.1078/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
35. [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*
36. [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*
37. [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*
38. [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)*
39. [Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants](https://md.research.elamur.ai/free/en/papers/rubino-2024-normalizing-without-modernizing-keeping-historical/) *— our card · 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
40. [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)*
41. [On Creating an English-Thai Code-switched Machine Translation in Medical Domain](https://aclanthology.org/2024.findings-emnlp.351/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
42. [On Instruction-Finetuning Neural Machine Translation Models](https://aclanthology.org/2024.wmt-1.114/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
43. [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)*
44. [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)*
45. [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*
46. [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)*
47. [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)*
48. [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*
49. [Perceptions of Educators on MTQA Curriculum and Instruction](https://aclanthology.org/2024.eamt-1.41/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
50. [Pitfalls and Outlooks in Using COMET](https://aclanthology.org/2024.wmt-1.121/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
51. [Post-edits Are Preferences Too](https://aclanthology.org/2024.wmt-1.122/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
52. [Probing Omissions and Distortions in Transformer-based RDF-to-Text Models](https://arxiv.org/abs/2409.16707) *— 2024 · arXiv:2409.16707*
53. [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*
54. [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*
55. [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)*
56. [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)*
57. [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)*
58. [RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning](https://arxiv.org/abs/2410.02089) *— 2024 · arXiv:2410.02089*
59. [Rakuten's Participation in WMT 2024 Patent Translation Task](https://aclanthology.org/2024.wmt-1.52/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
60. [ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation](https://aclanthology.org/2024.eamt-1.8/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
61. [Recent Highlights in Multilingual and Multimodal Speech Translation](https://aclanthology.org/2024.iwslt-1.29/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
62. [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)*
63. [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*
64. [SPRING Lab IITM's Submission to Low Resource Indic Language Translation Shared Task](https://aclanthology.org/2024.wmt-1.68/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
65. [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)*
66. [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)*
67. [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)*
68. [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)*
69. [Some Tradeoffs in Continual Learning for Parliamentary Neural Machine Translation Systems](https://aclanthology.org/2024.amta-research.10/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
70. [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*
71. [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)*
72. [Study of the State of the Art Galician Machine Translation: English-Galician and Spanish-Galician models](https://aclanthology.org/2024.propor-1.42/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1*
73. [SumTablets: A Transliteration Dataset of Sumerian Tablets](https://aclanthology.org/2024.ml4al-1.20/) *— 2024 · Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)*
74. [TIM-UNIGE Translation into Low-Resource Languages of Spain for WMT24](https://aclanthology.org/2024.wmt-1.82/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
75. [Teaching LLMs at Charles University: Assignments and Activities](https://aclanthology.org/2024.teachingnlp-1.9/) *— 2024 · Proceedings of the Sixth Workshop on Teaching NLP*
76. [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*
77. [TeamSaarLST at the GEM”24 Data-to-text Task: Revisiting symbolic retrieval in the LLM-age](https://aclanthology.org/2024.inlg-genchal.10/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges*
78. [Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap](https://aclanthology.org/2024.tacl-1.31/) *— 2024 · Transactions of the Association for Computational Linguistics*
79. [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*
80. [The First Parallel Corpus and Neural Machine Translation Model of Western Armenian and English](https://aclanthology.org/2024.sigul-1.42/) *— 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024*
81. [The SETU-ADAPT Submissions to the WMT24 Low-Resource Indic Language Translation Task](https://aclanthology.org/2024.wmt-1.67/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
82. [The SETU-DCU Submissions to IWSLT 2024 Low-Resource Speech-to-Text Translation Tasks](https://aclanthology.org/2024.iwslt-1.12/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
83. [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)*
84. [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*
85. [Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST)](https://arxiv.org/abs/2412.18367) *— 2024 · arXiv:2412.18367*
86. [Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages](https://arxiv.org/abs/2404.02512) *— 2024 · arXiv:2404.02512*
87. [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*
88. [Tower: An Open Multilingual Large Language Model for Translation-Related Tasks](https://arxiv.org/abs/2402.17733) *— 2024 · arXiv:2402.17733*
89. [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*
90. [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*
91. [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)*
92. [Tweak to Trust: Assessing the Reliability of Summarization Metrics in Contact Centers via Perturbed Summaries](https://aclanthology.org/2024.trustnlp-1.14/) *— 2024 · Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024)*
93. [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*
94. [Universitat d'Alacant's Submission to the WMT 2024 Shared Task on Translation into Low-Resource Languages of Spain](https://aclanthology.org/2024.wmt-1.85/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
95. [Using a multilingual literary parallel corpus to train NMT systems](https://aclanthology.org/2024.ctt-1.1/) *— 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology*
96. [Vicomtech@WMT 2024: Shared Task on Translation into Low-Resource Languages of Spain](https://aclanthology.org/2024.wmt-1.91/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
97. [WebLINX: Real-World Website Navigation with Multi-Turn Dialogue](https://arxiv.org/abs/2402.05930) *— 2024 · arXiv:2402.05930*
98. [What Have We Achieved on Non-autoregressive Translation?](https://aclanthology.org/2024.findings-acl.452/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
99. [When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale](https://aclanthology.org/2024.naacl-long.349/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
100. [XferBench: a Data-Driven Benchmark for Emergent Language](https://aclanthology.org/2024.naacl-long.82/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/) · … · [5](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/5/) · **6** · [7](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/7/) · … · [11](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/11/)