---
title: "Who cites A Study of Translation Edit Rate with Targeted…"
description: "The papers of the Elamur Research library that cite «A Study of Translation Edit Rate with Targeted Human Annotation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/snover-2006-study-translation-edit-rate-targeted/cited-by/"
---
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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.research.elamur.ai/free/en/papers/snover-2006-study-translation-edit-rate-targeted/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/snover-2006-study-translation-edit-rate-targeted/cited-by/page/2/) · … · [16](https://md.research.elamur.ai/free/en/papers/snover-2006-study-translation-edit-rate-targeted/cited-by/page/16/)

1. [AfriMMT-EA: Multi-domain Machine Translation for Low-Resource East African Languages](https://aclanthology.org/2026.findings-eacl.179/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
2. [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*
3. [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*
4. [BOOM: Beyond Only One Modality KIT”s Multimodal Multilingual Lecture Companion](https://aclanthology.org/2026.eacl-demo.14/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
5. [Benchmarking Speech-to-Speech Translation Models](https://arxiv.org/abs/2606.03241) *— 2026 · arXiv:2606.03241*
6. [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*
7. [Beyond Scalar Scores: Reinforcement Learning for Error-Aware Quality Estimation of Machine Translation](https://arxiv.org/abs/2602.08600) *— 2026 · arXiv:2602.08600*
8. [Beyond post-editing: A project-based module on MT and LLM integration for trainee translators](https://aclanthology.org/2026.taitt-1.7/) *— 2026 · Proceedings of the 1st International Workshop on Teaching AI-Based Translation and Technologies (TAITT 2026)*
9. [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)*
10. [CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning](https://aclanthology.org/2026.findings-acl.1024/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
11. [COILD: An Indic-Centric Parallel Corpus and Benchmark for Machine Translation Across Indian Languages](https://arxiv.org/abs/2609.28826) *— 2026 · arXiv:2609.28826*
12. [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*
13. [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*
14. [Comparative Evaluation of Machine Translation Systems on Images with Text](https://arxiv.org/abs/2605.29476) *— 2026 · arXiv:2605.29476*
15. [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*
16. [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)*
17. [CrisiText: A dataset of warning messages for LLM training in emergency communication](https://aclanthology.org/2026.findings-eacl.350/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
18. [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)*
19. [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)*
20. [Enhancing LLM Translation Performance for Spanish–Valencian through Supervised Fine-Tuning and Reinforcement Learning](https://aclanthology.org/2026.eamt-2.27/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)*
21. [Evaluating Extremely Low-Resource Machine Translation: A Comparative Study of ChrF++ and BLEU Metrics](https://arxiv.org/abs/2602.17425) *— 2026 · arXiv:2602.17425*
22. [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*
23. [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*
24. [Grouped Adaptive Weight Sharing (GAWS): An Inference-Efficient Adaptation Method for Large Language Models](https://aclanthology.org/2026.findings-acl.1590/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
25. [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*
26. [In-Image Machine Translation. A Preliminary Modular Approach](https://aclanthology.org/2026.eacl-srw.38/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
27. [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)*
28. [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*
29. [KD4MT: A Survey of Knowledge Distillation for Machine Translation](https://arxiv.org/abs/2602.15845) *— 2026 · arXiv:2602.15845*
30. [KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation](https://aclanthology.org/2026.findings-eacl.39/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
31. [Kumatigi: Quality-Driven Data Augmentation for Low-Resource Machine Translation](https://aclanthology.org/2026.findings-acl.1223/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
32. [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)*
33. [LocQE: Principled Domain Adaptation for Localisation Quality Estimation by Leveraging Post-Edits](https://arxiv.org/abs/2609.18720) *— 2026 · arXiv:2609.18720*
34. [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)*
35. [MaitH 1.0: A Parallel Corpus and Baseline for Low-Resource Maithili-Hindi Translation](https://aclanthology.org/2026.lrec-1.676/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
36. [Mind the Pause: Disfluency-Aware Objective Tuning for Multilingual Speech Correction with LLMs](https://aclanthology.org/2026.acl-long.2137/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [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)*
38. [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*
39. [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*
40. [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*
41. [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*
42. [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*
43. [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*
44. [Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation](https://arxiv.org/abs/2606.17234) *— 2026 · arXiv:2606.17234*
45. [Style and Terminology in Commercial Flows: Mixing APE with Iterative Feedback](https://aclanthology.org/2026.stygenai-1.4/) *— 2026 · Proceedings of the First Workshop on Style in GenAI-Translated Content (StyGenAI)*
46. [The African Languages Lab: A Collaborative Approach to Advancing Low-Resource African NLP](https://aclanthology.org/2026.acl-long.1965/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [The Potential of Large Language Models for Translating Tourism Promotional Texts: A Mixed-methods Study](https://aclanthology.org/2026.eamt-1.39/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
48. [Toward domain-specific machine translation and quality estimation systems](https://arxiv.org/abs/2603.24955) *— 2026 · arXiv:2603.24955*
49. [Towards End-to-End Multilingual Metaphor Processing: Integrating Detection, Translation, and Evaluation](https://arxiv.org/abs/2608.04260) *— 2026 · arXiv:2608.04260*
50. [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)*
51. [Translation via Annotation: A Computational Study of Translating Classical Chinese into Japanese](https://aclanthology.org/2026.eacl-long.285/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
52. [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)*
53. [Unified Multi-Dialectal Neural Machine Translation for Bangla Using the Dwadash Benchmark Corpus](https://arxiv.org/abs/2608.12018) *— 2026 · arXiv:2608.12018*
54. [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)*
55. [WER is Unaware: Assessing How ASR Errors Distort Clinical Understanding in Patient Facing Dialogue](https://aclanthology.org/2026.iwsds-1.39/) *— 2026 · Proceedings of the 16th International Workshop on Spoken Dialogue System Technology*
56. [A French Version of the OLDI Seed Corpus](https://aclanthology.org/2025.wmt-1.80/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
57. [A Semantic Uncertainty Sampling Strategy for Back-Translation in Low-Resources Neural Machine Translation](https://aclanthology.org/2025.acl-srw.35/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
58. [A Systematic Review on Machine Translation and Transliteration Techniques for Code-Mixed Indo-Aryan Languages](https://aclanthology.org/2025.wat-1.6/) *— 2025 · Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025)*
59. [A-TASC: Asian TED-Based Automatic Subtitling Corpus](https://aclanthology.org/2025.acl-long.157/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
60. [ARGENT: Automatic Reference-free Evaluation for Open-Ended Text Generation without Source Inputs](https://aclanthology.org/2025.gem-1.8/) *— 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)*
61. [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)*
62. [AkibaNLP-TUT: Injecting Language-Specific Word-Level Noise for Low-Resource Language Translation](https://aclanthology.org/2025.wmt-1.104/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
63. [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)*
64. [An Information-Theoretic Approach to Reducing Fertility in LLMs for Manipuri Machine Translation](https://aclanthology.org/2025.findings-ijcnlp.145/) *— 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*
65. [Analysis of Vocabulary and Subword Tokenization Settings for Optimal Fine-tuning of MT: A Case Study of In-domain Translation](https://aclanthology.org/2025.ranlp-1.111/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
66. [Arabizi vs LLMs: Can the Genie Understand the Language of Aladdin?](https://aclanthology.org/2025.mtsummit-2.4/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 2*
67. [Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost](https://arxiv.org/abs/2510.20780) *— 2025 · arXiv:2510.20780*
68. [Are Multi-Agents the new Pipeline Architecture for Data-to-Text Systems?](https://aclanthology.org/2025.inlg-main.33/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference*
69. [Automatic Fact-checking in English and Telugu](https://aclanthology.org/2025.lowresnlp-1.15/) *— 2025 · Proceedings of the First Workshop on Advancing NLP for Low-Resource Languages*
70. [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*
71. [Benchmarking LLMs on Semantic Overlap Summarization](https://aclanthology.org/2025.emnlp-main.1692/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
72. [Beyond the Cloud: Assessing the Benefits and Drawbacks of Local LLM Deployment for Translators](https://arxiv.org/abs/2507.23399) *— 2025 · arXiv:2507.23399*
73. [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*
74. [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)*
75. [ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities](https://aclanthology.org/2025.acl-long.1585/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [Correcting the Tamazight Portions of FLORES+ and OLDI Seed Datasets](https://aclanthology.org/2025.wmt-1.82/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
77. [Crosslingual Optimized Metric for Translation Assessment of Indian Languages](https://arxiv.org/abs/2509.17667) *— 2025 · arXiv:2509.17667*
78. [DoDS-IITPKD:Submissions to the WMT25 Low-Resource Indic Language Translation Task](https://aclanthology.org/2025.wmt-1.102/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
79. [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*
80. [Evaluating Synthetic Data Generation from User Generated Text](https://aclanthology.org/2025.cl-1.6/) *— 2025 · Computational Linguistics*
81. [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)*
82. [Explaining novel senses using definition generation with open language models](https://aclanthology.org/2025.findings-emnlp.1214/) *— 2025 · Findings of EMNLP 2025*
83. [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*
84. [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)*
85. [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*
86. [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)*
87. [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)*
88. [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*
89. [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)*
90. [Fine-Tuning vs Prompting Techniques for Gender-Fair Rewriting of Machine Translations](https://aclanthology.org/2025.gebnlp-1.28/) *— 2025 · Proceedings of the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP)*
91. [Fine-Tuning, Prompting and RAG for Knowledge Graph-to-Russian Text Generation. How do these Methods generalise to Out-of-Distribution Data?](https://aclanthology.org/2025.inlg-main.26/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference*
92. [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)*
93. [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)*
94. [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)*
95. [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)*
96. [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)*
97. [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)*
98. [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)*
99. [How to Evaluate Speech Translation with Source-Aware Neural MT Metrics](https://arxiv.org/abs/2511.03295) *— 2025 · arXiv:2511.03295*
100. [Human- or machine-translated subtitles: Who can tell them apart?](https://aclanthology.org/2025.mtsummit-1.39/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/snover-2006-study-translation-edit-rate-targeted/cited-by/page/2/) · … · [16](https://md.research.elamur.ai/free/en/papers/snover-2006-study-translation-edit-rate-targeted/cited-by/page/16/)