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home / docs / papers / cited-by / Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 4

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

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  1. Grammar-based Data Augmentation for Low-Resource Languages: The Case of Guarani-Spanish Neural Machine Translation — 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! — 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 — 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? — 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 — 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 — 2024 · Proceedings of the Ninth Conference on Machine Translation
  7. Improving Low-Resource Machine Translation for Formosan Languages Using Bilingual Lexical Resources — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  8. Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  9. Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  10. Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy — 2024 · Proceedings of the Ninth Conference on Machine Translation
  11. IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages — 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 — 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 — 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 — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  15. KazParC: Kazakh Parallel Corpus for Machine Translation — 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 — 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 — 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 — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  19. Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
  20. Lexically Grounded Subword Segmentation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  21. Linear-time Minimum Bayes Risk Decoding with Reference Aggregation — 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 — 2024 · arXiv:2412.12499
  23. Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  24. MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks — 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 — 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 — 2024 · Proceedings of the Ninth Conference on Machine Translation
  27. MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences — 2024 · arXiv:2410.02381
  28. MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
  29. Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding — 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 — 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 — 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 — 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 — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  34. Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies — 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 — our card · 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  36. Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References — 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 — 2024 · Proceedings of the Ninth Conference on Machine Translation
  38. On the Robustness of Neural Models for Full Sentence Transformation — 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 — 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 — 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) — 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 — 2024 · Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
  43. Penetrative AI: Making LLMs Comprehend the Physical World — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  44. Pitfalls and Outlooks in Using COMET — 2024 · Proceedings of the Ninth Conference on Machine Translation
  45. Post-edits Are Preferences Too — 2024 · Proceedings of the Ninth Conference on Machine Translation
  46. Probing Omissions and Distortions in Transformer-based RDF-to-Text Models — 2024 · arXiv:2409.16707
  47. Prompting Large Language Models for Idiomatic Translation — 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 — 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 — 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 — 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 — 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 — 2024 · arXiv:2410.02089
  53. Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin — 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 — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  55. SambaLingo: Teaching Large Language Models New Languages — 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)
  56. Sign Language Translation with Sentence Embedding Supervision — 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 — 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 — 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 — 2024 · Proceedings of the Ninth Conference on Machine Translation
  60. Speech vs. Transcript: Does It Matter for Human Annotators in Speech Summarization? — 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 — 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 — 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? — 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 — 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 — 2024 · arXiv:2404.02512
  66. Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  67. Tower: An Open Multilingual Large Language Model for Translation-Related Tasks — 2024 · arXiv:2402.17733
  68. Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts — 2024 · Proceedings of the Ninth Conference on Machine Translation
  69. Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering — 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 — 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 — 2024 · Transactions of the Association for Computational Linguistics
  72. WebLINX: Real-World Website Navigation with Multi-Turn Dialogue — 2024 · arXiv:2402.05930
  73. ``According to . . . ``: Prompting Language Models Improves Quoting from Pre-Training Data — 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 — 2024 · Proceedings of the Ninth Conference on Machine Translation
  75. mbrs: A Library for Minimum Bayes Risk Decoding — 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 — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  77. xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection — 2024 · Transactions of the Association for Computational Linguistics
  78. xTower: A Multilingual LLM for Explaining and Correcting Translation Errors — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  79. A Call for Standardization and Validation of Text Style Transfer Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  80. A Filtering Approach to Object Region Detection in Multimodal Machine Translation — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  81. A Holistic Approach to Reference-Free Evaluation of Machine Translation — 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 — 2023 · arXiv:2302.04023
  83. A Natural Bias for Language Generation Models — 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 — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  85. AMR4NLI: Interpretable and robust NLI measures from semantic graphs — 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 — 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 — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  88. AlignScore: Evaluating Factual Consistency with A Unified Alignment Function — 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 — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  90. Automating Behavioral Testing in Machine Translation — 2023 · Proceedings of the Eighth Conference on Machine Translation
  91. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models — 2023 · arXiv:2309.06085
  92. BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric — 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 — 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 — 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 — 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) — 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 — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track
  98. Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy — 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 — 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 — 2023 · Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences

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