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# Who cites «A Study of Translation Edit Rate with Targeted Human Annotation»

1514 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/snover-2006-study-translation-edit-rate-targeted/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-13/) · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-14/) · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-16/)

1. [Ancient Greek to Modern Greek Machine Translation: A Novel Benchmark and Fine-Tuning Experiments on LLMs and NMT Models](https://aclanthology.org/2026.lrec-1.684/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [AssamLegalTrans: A Parallel Corpus, Benchmark and Analysis for English-Assamese Machine Translation of Legal Judgments](https://aclanthology.org/2026.lrec-1.386/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
3. [Benchmarking Speech-to-Speech Translation Models](https://arxiv.org/abs/2606.03241) *— 2026 · arXiv:2606.03241*
4. [Beyond BLEU: Linguistic Invisibility and Interactional Repair Sequence in End-to-End Sign Language Translation](https://aclanthology.org/2026.signlang-1.51/) *— 2026 · Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion*
5. [Beyond Scalar Scores: Reinforcement Learning for Error-Aware Quality Estimation of Machine Translation](https://arxiv.org/abs/2602.08600) *— 2026 · arXiv:2602.08600*
6. [Bridging Internal Consistency and External Alignment: A Causal and Dynamic Interpretability Framework for LLM Generation](https://aclanthology.org/2026.acl-long.933/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [COILD: An Indic-Centric Parallel Corpus and Benchmark for Machine Translation Across Indian Languages](https://arxiv.org/abs/2609.28826) *— 2026 · arXiv:2609.28826*
8. [Can We Triage LLM Translation Errors in Classical Texts Without Human References? Source Novelty, GEMBA Scoring, and Budgeted Review through Pali-to-English Translation](https://arxiv.org/abs/2609.14963) *— 2026 · arXiv:2609.14963*
9. [CoTERM: A Consistency-Oriented Term Metric for MT System Evaluation](https://aclanthology.org/2026.lrec-1.682/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
10. [Comparative Evaluation of Machine Translation Systems on Images with Text](https://arxiv.org/abs/2605.29476) *— 2026 · arXiv:2605.29476*
11. [Creating ConLangs to Probe the Metalinguistic Grammatical Knowledge of LLMs](https://aclanthology.org/2026.findings-acl.1455/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
12. [Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations](https://aclanthology.org/2026.eamt-1.43/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
13. [Desarrollo de modelos de TAN para las lenguas románicas de la península ibérica](http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6833) *— 2026 · Procesamiento del Lenguaje Natural, Vol. 76 (2026)*
14. [Diversity and Homogenisation in Generative AI Translation: A Comparative Study of English-Dutch Translation Across Domains](https://aclanthology.org/2026.eamt-1.6/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
15. [Evaluating Extremely Low-Resource Machine Translation: A Comparative Study of ChrF++ and BLEU Metrics](https://arxiv.org/abs/2602.17425) *— 2026 · arXiv:2602.17425*
16. [Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Failures, and Metric Reliability](https://arxiv.org/abs/2606.22269) *— 2026 · arXiv:2606.22269*
17. [Gender Bias in MT for a Genderless Language: New Benchmarks for Basque](https://aclanthology.org/2026.lrec-1.705/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
18. [Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine Translation](https://aclanthology.org/2026.lrec-1.688/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
19. [IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding](https://aclanthology.org/2026.gem-main.10/) *— 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)*
20. [IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages](https://arxiv.org/abs/2608.16344) *— 2026 · arXiv:2608.16344*
21. [Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data](https://aclanthology.org/2026.loreslm-1.31/) *— 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)*
22. [LocQE: Principled Domain Adaptation for Localisation Quality Estimation by Leveraging Post-Edits](https://arxiv.org/abs/2609.18720) *— 2026 · arXiv:2609.18720*
23. [Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs](https://aclanthology.org/2026.acl-long.532/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [Multilingual Communication in the Asylum Context: Evaluating LLM-Based Machine Translation with Fuzzy Match Augmentation and Adaptive NMT across Resource Conditions under Low-Data Constraints](https://aclanthology.org/2026.eamt-1.3/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
25. [On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation](https://aclanthology.org/2026.findings-acl.379/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
26. [ParaCLEAN: Improving Translation Quality through Systematic Parallel Data Cleaning](https://aclanthology.org/2026.lrec-1.527/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
27. [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*
28. [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*
29. [STAR-IL: A Dataset for Style-Aware Machine Translation of Product Reviews in Indian Languages](https://aclanthology.org/2026.lrec-1.691/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
30. [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*
31. [Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation](https://arxiv.org/abs/2606.17234) *— 2026 · arXiv:2606.17234*
32. [Toward domain-specific machine translation and quality estimation systems](https://arxiv.org/abs/2603.24955) *— 2026 · arXiv:2603.24955*
33. [Towards End-to-End Multilingual Metaphor Processing: Integrating Detection, Translation, and Evaluation](https://arxiv.org/abs/2608.04260) *— 2026 · arXiv:2608.04260*
34. [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)*
35. [Translators'' Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation](https://aclanthology.org/2026.amta-research.10/) *— 2026 · Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
36. [Unified Multi-Dialectal Neural Machine Translation for Bangla Using the Dwadash Benchmark Corpus](https://arxiv.org/abs/2608.12018) *— 2026 · arXiv:2608.12018*
37. [VERA: A Platform for Automatic and Human Evaluation of Machine Translation](https://aclanthology.org/2026.eamt-2.5/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)*
38. [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)*
39. [Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation](https://aclanthology.org/2025.acl-long.373/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost](https://arxiv.org/abs/2510.20780) *— 2025 · arXiv:2510.20780*
41. [BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models](https://aclanthology.org/2025.findings-emnlp.909/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
42. [Beyond the Cloud: Assessing the Benefits and Drawbacks of Local LLM Deployment for Translators](https://arxiv.org/abs/2507.23399) *— 2025 · arXiv:2507.23399*
43. [Can LLMs Translate Cultural Nuance in Dialects? A Case Study on Lebanese Arabic](https://aclanthology.org/2025.abjadnlp-1.13/) *— 2025 · Proceedings of the 1st Workshop on NLP for Languages Using Arabic Script*
44. [Comparative Evaluation of Machine Translation Models Using Human-Translated Social Media Posts as References: Human-Translated Datasets](https://aclanthology.org/2025.loresmt-1.1/) *— 2025 · Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025)*
45. [Crosslingual Optimized Metric for Translation Assessment of Indian Languages](https://arxiv.org/abs/2509.17667) *— 2025 · arXiv:2509.17667*
46. [Evaluating Language Translation Models by Playing Telephone](https://aclanthology.org/2025.emnlp-main.524/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
47. [Evaluating Synthetic Data Generation from User Generated Text](https://aclanthology.org/2025.cl-1.6/) *— 2025 · Computational Linguistics*
48. [Evaluating Text Style Transfer Evaluation: Are There Any Reliable Metrics?](https://aclanthology.org/2025.naacl-srw.41/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)*
49. [Explaining novel senses using definition generation with open language models](https://aclanthology.org/2025.findings-emnlp.1214/) *— 2025 · Findings of EMNLP 2025*
50. [Extending CREAMT: Leveraging Large Language Models for Literary Translation Post-Editing](https://aclanthology.org/2025.mtsummit-1.40/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
51. [FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages](https://aclanthology.org/2025.americasnlp-1.8/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
52. [Findings of WMT 2025 Shared Task on Low-resource Indic Languages Translation](https://aclanthology.org/2025.wmt-1.29/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
53. [Findings of the IWSLT 2025 Evaluation Campaign](https://aclanthology.org/2025.iwslt-1.44/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
54. [Findings of the JUST-NLP 2025 Shared Task on English-to-Hindi Legal Machine Translation](https://aclanthology.org/2025.justnlp-main.3/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
55. [Findings of the WMT25 Shared Task on Automated Translation Evaluation Systems: Linguistic Diversity is Challenging and References Still Help](https://aclanthology.org/2025.wmt-1.24/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
56. [Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation](https://aclanthology.org/2025.naacl-srw.1/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)*
57. [Fine-tuning and evaluation of NMT models for literary texts using RomCro v.2.0](https://aclanthology.org/2025.ctt-1.4/) *— 2025 · Proceedings of the Second Workshop on Creative-text Translation and Technology (CTT)*
58. [From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation](https://aclanthology.org/2025.justnlp-main.20/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
59. [GENDEROUS: Machine Translation and Cross-Linguistic Evaluation of a Gender-Ambiguous Dataset](https://aclanthology.org/2025.gebnlp-1.27/) *— 2025 · Proceedings of the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP)*
60. [Gender Bias in English-to-Greek Machine Translation](https://aclanthology.org/2025.gitt-1.2/) *— 2025 · Proceedings of the 3rd Workshop on Gender-Inclusive Translation Technologies (GITT 2025)*
61. [Gender-Neutral Rewriting in Italian: Models, Approaches, and Trade-offs](https://aclanthology.org/2025.clicit-1.84/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
62. [Giving the Old a Fresh Spin: Quality Estimation-Assisted Constrained Decoding for Automatic Post-Editing](https://aclanthology.org/2025.naacl-short.77/) *— 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)*
63. [Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress](https://aclanthology.org/2025.acl-short.63/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
64. [How to Evaluate Speech Translation with Source-Aware Neural MT Metrics](https://arxiv.org/abs/2511.03295) *— 2025 · arXiv:2511.03295*
65. [Improving Translation Quality by Selecting Better Data for LLM Fine-Tuning: A Comparative Analysis](https://arxiv.org/abs/2512.11388) *— 2025 · arXiv:2512.11388*
66. [InImageTrans: Multimodal LLM-based Text Image Machine Translation](https://aclanthology.org/2025.findings-acl.1039/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
67. [Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn''t Help with MT Evaluation](https://aclanthology.org/2025.mtsummit-1.20/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
68. [Introducing Quality Estimation to Machine Translation Post-editing Workflow: An Empirical Study on Its Usefulness](https://aclanthology.org/2025.mtsummit-1.38/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
69. [Investigating Length Issues in Document-level Machine Translation](https://aclanthology.org/2025.mtsummit-1.3/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
70. [Leveraging Visual Scene Graph to Enhance Translation Quality in Multimodal Machine Translation](https://aclanthology.org/2025.mtsummit-1.27/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
71. [MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models](https://aclanthology.org/2025.ccl-1.67/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
72. [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*
73. [Multimodal Neural Machine Translation: A Survey of the State of the Art](https://aclanthology.org/2025.emnlp-main.1125/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
74. [Parallel Corpora for Machine Translation in Low-resource Indic Languages: A Comprehensive Review](https://arxiv.org/abs/2503.04797) *— 2025 · arXiv:2503.04797*
75. [ProTOD: Proactive Task-oriented Dialogue System Based on Large Language Model](https://aclanthology.org/2025.coling-main.614/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
76. [ProverbEval: Exploring LLM Evaluation Challenges for Low-resource Language Understanding](https://aclanthology.org/2025.findings-naacl.350/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
77. [Quality Matters Measuring the Effect of Human-Annotated Translation Quality on English-Slovak Machine Translation](https://aclanthology.org/2025.globalnlp-1.9/) *— 2025 · Proceedings of the Workshop on Beyond English: Natural Language Processing for all Languages in an Era of Large Language Models*
78. [Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies](https://aclanthology.org/2025.acl-long.1359/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
79. [Roman Kyslyi; Yuliia Maksymiuk; Ihor Pysmennyi. Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation // UNLP 2025](https://aclanthology.org/2025.unlp-1.10/) *— 2025 · UNLP 2025*
80. [Tagged Span Annotation for Detecting Translation Errors in Reasoning LLMs](https://aclanthology.org/2025.wmt-1.62/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
81. [TeluguST-46: A Benchmark Corpus and Comprehensive Evaluation for Telugu-English Speech Translation](https://aclanthology.org/2025.findings-ijcnlp.77/) *— 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*
82. [TransBench: Benchmarking Machine Translation for Industrial-Scale Applications](https://arxiv.org/abs/2505.14244) *— 2025 · arXiv:2505.14244*
83. [Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations](https://aclanthology.org/2025.findings-acl.26/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
84. [Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations](https://aclanthology.org/2025.mtsummit-1.42/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
85. [Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation](https://aclanthology.org/2025.unlp-1.10/) *— 2025 · Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025)*
86. [Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore](https://aclanthology.org/2025.coling-main.684/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
87. [基于LLM与跨语言嵌入的中亚低资源语言平行语料库构建方法](https://aclanthology.org/2025.ccl-1.36/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
88. [A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content](https://aclanthology.org/2024.wmt-1.113/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
89. [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)*
90. [An Analysis on Automated Metrics for Evaluating Japanese-English Chat Translation](https://arxiv.org/abs/2412.18190) *— 2024 · arXiv:2412.18190*
91. [Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content?](https://aclanthology.org/2024.wat-1.4/) *— 2024 · Proceedings of the Eleventh Workshop on Asian Translation (WAT 2024)*
92. [Assessing Large Language Models in Translating Coptic and Ancient Greek Ostraca](https://aclanthology.org/2024.nlp4dh-1.44/) *— 2024 · Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities*
93. [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*
94. [Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions?](https://aclanthology.org/2024.tacl-1.69/) *— 2024 · Transactions of the Association for Computational Linguistics*
95. [Benchmarking Low-Resource Machine Translation Systems](https://aclanthology.org/2024.loresmt-1.18/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
96. [Benchmarking Visually-Situated Translation of Text in Natural Images](https://aclanthology.org/2024.wmt-1.115/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
97. [CATER: Leveraging LLM to Pioneer a Multidimensional, Reference-Independent Paradigm in Translation Quality Evaluation](https://arxiv.org/abs/2412.11261) *— 2024 · arXiv:2412.11261*
98. [COMET for Low-Resource Machine Translation Evaluation: A Case Study of English-Maltese and Spanish-Basque](https://aclanthology.org/2024.lrec-main.315/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
99. [Context-Aware Neural Machine Translation Models Analysis And Evaluation Through Attention](https://aclanthology.org/2023.tal-3.4/) *— 2024*
100. [Controllable Paraphrase Generation for Semantic and Lexical Similarities](https://aclanthology.org/2024.lrec-main.348/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*

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