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# Who cites «chrF++: words helping character n-grams» · page 2

470 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-2017-chrf-words-helping-character-n/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2017-chrf-words-helping-character-n/) · **2** · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2017-chrf-words-helping-character-n-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2017-chrf-words-helping-character-n-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2017-chrf-words-helping-character-n-5/)

1. [MoVoC: Morphology-Aware Subword Construction for Ge'ez Script Languages](https://md.mova.elamur.ai/free/en/docs/papers/findings-2025-teklehaymanot-movoc-morphology-aware-subword-construction/) *— our card · 2025*
2. [MoVoC: Morphology-Aware Subword Construction for Geez Script Languages](https://arxiv.org/abs/2509.08812) *— 2025 · arXiv:2509.08812*
3. [MuCAL: Contrastive Alignment for Preference-Driven KG-to-Text Generation](https://aclanthology.org/2025.emnlp-main.720/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
4. [Multilingual Medical Reasoning for Question Answering with Large Language Models](https://arxiv.org/abs/2512.05658) *— 2025 · arXiv:2512.05658*
5. [OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages](https://arxiv.org/abs/2508.16048) *— 2025 · arXiv:2508.16048*
6. [Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model](https://aclanthology.org/2025.findings-acl.83/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
7. [Quality Estimation and Post-Editing Using LLMs For Indic Languages: How Good Is It?](https://aclanthology.org/2025.mtsummit-1.30/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
8. [RAG-Enhanced Neural Machine Translation of Ancient Egyptian Text: A Case Study of THOTH AI](https://aclanthology.org/2025.nlp4dh-1.4/) *— 2025 · Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities*
9. [Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books](https://aclanthology.org/2025.acl-long.202/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [Saudi-Dialect-ALLaM: LoRA Fine-Tuning for Dialectal Arabic Generation](https://arxiv.org/abs/2508.13525) *— 2025 · arXiv:2508.13525*
11. [Self-Pluralising Culture Alignment for Large Language Models](https://aclanthology.org/2025.naacl-long.350/) *— 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)*
12. [Semantic Prosody in Machine Translation: the English-Chinese Case of Passive Structures](https://aclanthology.org/2025.starsem-1.5/) *— 2025 · Proceedings of the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025)*
13. [ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Multilingual Contrastive Framework](https://aclanthology.org/2025.acl-long.239/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Small Languages, Big Models: A Study of Continual Training on Languages of Norway](https://aclanthology.org/2025.nodalida-1.61/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
15. [Survey of Abstract Meaning Representation: Then, Now, Future](https://md.mova.elamur.ai/free/en/docs/papers/mansouri-2025-survey-abstract-meaning-representation-then/) *— our card · 2025 · arXiv:2505.03229*
16. [TFD: A Comprehensive Structured Tibetan Foundation Dataset for Low-Resource Language Processing and Large-Scale Modeling](https://arxiv.org/abs/2503.18288) *— 2025 · arXiv:2503.18288*
17. [The Impact of Domain-Specific Terminology on Machine Translation for Finance in European Languages](https://aclanthology.org/2025.naacl-long.140/) *— 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)*
18. [Towards Building Large Scale Datasets and State-of-the-Art Automatic Speech Translation Systems for 14 Indian Languages](https://aclanthology.org/2025.acl-long.1582/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Towards Inducing Long-Context Abilities in Multilingual Neural Machine Translation Models](https://aclanthology.org/2025.naacl-long.366/) *— 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)*
20. [Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors](https://aclanthology.org/2025.naacl-long.57/) *— 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)*
21. [bytF: How Good Are Byte Level N-Gram F-Scores for Automatic Machine Translation Evaluation?](https://aclanthology.org/2025.mtsummit-1.29/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
22. [goodmen @ L-MT Shared Task: A Comparative Study of Neural Models for English-Hindi Legal Machine Translation](https://aclanthology.org/2025.justnlp-main.13/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
23. [A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models](https://aclanthology.org/2024.lrec-main.120/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
24. [A Test Suite of Prompt Injection Attacks for LLM-based Machine Translation](https://aclanthology.org/2024.wmt-1.30/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
25. [Addressing Entity Translation Problem via Translation Difficulty and Context Diversity](https://aclanthology.org/2024.findings-acl.691/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
26. [AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages](https://aclanthology.org/2024.naacl-long.334/) *— 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. [Airavata: Introducing Hindi Instruction-tuned LLM](https://arxiv.org/abs/2401.15006) *— 2024 · arXiv:2401.15006*
28. [An Empirical Study of In-context Learning in LLMs for Machine Translation](https://aclanthology.org/2024.findings-acl.440/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
29. [Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation](https://aclanthology.org/2024.tacl-1.22/) *— 2024 · Transactions of the Association for Computational Linguistics*
30. [Are LLM-based Evaluators Confusing NLG Quality Criteria?](https://aclanthology.org/2024.acl-long.516/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Assessing the Cross-linguistic Utility of Abstract Meaning Representation](https://md.mova.elamur.ai/free/en/docs/papers/wein-2024-assessing-cross-linguistic-utility-abstract/) *— our card · 2024 · Computational Linguistics*
32. [Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier](https://arxiv.org/abs/2412.04261) *— 2024 · arXiv:2412.04261*
33. [BSC Submission to the AmericasNLP 2024 Shared Task](https://aclanthology.org/2024.americasnlp-1.17/) *— 2024 · Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)*
34. [Back to School: Translation Using Grammar Books](https://aclanthology.org/2024.emnlp-main.1127/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
35. [Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics](https://md.mova.elamur.ai/free/en/docs/papers/perrella-2024-beyond-correlation-interpretable-evaluation-machine/) *— our card · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
36. [Beyond Reference: Evaluating High Quality Translations Better than Human References](https://aclanthology.org/2024.emnlp-main.294/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
37. [Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric](https://aclanthology.org/2024.findings-emnlp.353/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
38. [Can we teach language models to gloss endangered languages?](https://aclanthology.org/2024.findings-emnlp.337/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
39. [Creative and Context-Aware Translation of East Asian Idioms with GPT-4](https://aclanthology.org/2024.findings-emnlp.544/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
40. [Enhancing Scientific Discourse: Machine Translation for the Scientific Domain](https://aclanthology.org/2024.eamt-1.23/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
41. [Evaluating Code-Switching Translation with Large Language Models](https://aclanthology.org/2024.lrec-main.565/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
42. [Findings of WMT 2024's MultiIndic22MT Shared Task for Machine Translation of 22 Indian Languages](https://aclanthology.org/2024.wmt-1.55/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
43. [Findings of the AmericasNLP 2024 Shared Task on Machine Translation into Indigenous Languages](https://aclanthology.org/2024.americasnlp-1.28/) *— 2024 · Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)*
44. [From LLM to NMT: Advancing Low-Resource Machine Translation with Claude](https://arxiv.org/abs/2404.13813) *— 2024 · arXiv:2404.13813*
45. [From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models](https://aclanthology.org/2024.findings-acl.893/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
46. [From Persona to Personalization: A Survey on Role-Playing Language Agents](https://arxiv.org/abs/2404.18231) *— 2024 · arXiv:2404.18231*
47. [GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators](https://aclanthology.org/2024.acl-long.5/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
48. [Gender Bias Evaluation in Machine Translation for Amharic, Tigrigna, and Afaan Oromoo](https://aclanthology.org/2024.gitt-1.1/) *— 2024 · Proceedings of the 2nd International Workshop on Gender-Inclusive Translation Technologies*
49. [High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models](https://aclanthology.org/2024.findings-eacl.98/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
50. [How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data](https://aclanthology.org/2024.findings-acl.896/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
51. [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)*
52. [How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes](https://aclanthology.org/2024.amta-research.20/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
53. [Improving Cross-Domain Low-Resource Text Generation through LLM Post-Editing: A Programmer-Interpreter Approach](https://aclanthology.org/2024.findings-eacl.24/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
54. [Investigating Paraphrase Generation as a Data Augmentation Strategy for Low-Resource AMR-to-Text Generation](https://aclanthology.org/2024.inlg-main.51/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
55. [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)*
56. [Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks](https://aclanthology.org/2024.lrec-main.821/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
57. [Italian-Ligurian Machine Translation in Its Cultural Context](https://aclanthology.org/2024.sigul-1.21/) *— 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024*
58. [Iterative Translation Refinement with Large Language Models](https://aclanthology.org/2024.eamt-1.17/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
59. [Kalahi: A handcrafted, grassroots cultural LLM evaluation suite for Filipino](https://aclanthology.org/2024.paclic-1.49/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
60. [KpopMT: Translation Dataset with Terminology for Kpop Fandom](https://aclanthology.org/2024.loresmt-1.3/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
61. [Learning-From-Mistakes Prompting for Indigenous Language Translation](https://aclanthology.org/2024.loresmt-1.15/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
62. [Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation](https://aclanthology.org/2024.iwslt-1.31/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
63. [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)*
64. [Low-resource neural machine translation with morphological modeling](https://aclanthology.org/2024.findings-naacl.13/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
65. [M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks](https://aclanthology.org/2024.findings-emnlp.250/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
66. [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)*
67. [Many-Shot In-Context Learning](https://arxiv.org/abs/2404.11018) *— 2024 · arXiv:2404.11018*
68. [Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy](https://aclanthology.org/2024.eacl-long.129/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [Mitigating Metric Bias in Minimum Bayes Risk Decoding](https://aclanthology.org/2024.wmt-1.109/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
70. [Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean](https://aclanthology.org/2024.lrec-main.1024/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
71. [Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers](https://arxiv.org/abs/2404.04925) *— 2024 · arXiv:2404.04925*
72. [NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task](https://aclanthology.org/2024.arabicnlp-1.79/) *— 2024 · Proceedings of the Second Arabic Natural Language Processing Conference*
73. [Nesciun Lengaz Lascià Endò: Machine Translation for Fassa Ladin](https://aclanthology.org/2024.clicit-1.104/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
74. [Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation](https://aclanthology.org/2024.emnlp-main.374/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
75. [Non-Exchangeable Conformal Language Generation with Nearest Neighbors](https://aclanthology.org/2024.findings-eacl.129/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
76. [On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations?](https://arxiv.org/abs/2406.14267) *— 2024 · arXiv:2406.14267*
77. [Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak](https://aclanthology.org/2024.wmt-1.48/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
78. [Pretraining Language Models Using Translationese](https://aclanthology.org/2024.emnlp-main.334/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
79. [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)*
80. [Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation](https://arxiv.org/abs/2408.12780) *— 2024 · arXiv:2408.12780*
81. [Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations](https://aclanthology.org/2024.lrec-main.1192/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
82. [SCALE: Synergized Collaboration of Asymmetric Language Translation Engines](https://aclanthology.org/2024.findings-acl.941/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
83. [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*
84. [Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation](https://aclanthology.org/2024.emnlp-main.1017/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
85. [Teaching Large Language Models to Translate on Low-resource Languages with Textbook Prompting](https://aclanthology.org/2024.lrec-main.1362/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
86. [Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer](https://aclanthology.org/2024.findings-naacl.210/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
87. [The 2024 GEM Shared Task on Multilingual Data-to-Text Generation and Summarization: Overview and Preliminary Results](https://aclanthology.org/2024.inlg-genchal.2/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges*
88. [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*
89. [The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis](https://aclanthology.org/2024.findings-acl.438/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
90. [Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks](https://aclanthology.org/2024.findings-emnlp.688/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
91. [Translation systems for low-resource Colombian Indigenous languages, a first step towards cultural preservation](https://aclanthology.org/2024.americasnlp-1.2/) *— 2024 · Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)*
92. [Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text Generation](https://aclanthology.org/2024.lrec-main.1464/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
93. [Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets](https://aclanthology.org/2024.findings-emnlp.25/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
94. [Wav2Gloss: Generating Interlinear Glossed Text from Speech](https://aclanthology.org/2024.acl-long.34/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [``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)*
96. [chrF-S: Semantics Is All You Need](https://aclanthology.org/2024.wmt-1.33/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
97. [A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography](https://arxiv.org/abs/2311.16865) *— 2023 · arXiv:2311.16865*
98. [ACES: Translation Accuracy Challenge Sets at WMT 2023](https://aclanthology.org/2023.wmt-1.57/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
99. [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*
100. [An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models](https://aclanthology.org/2023.eamt-1.11/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*

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