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# Who cites «A Call for Clarity in Reporting BLEU Scores» · page 4

2102 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/post-2018-call-clarity-reporting-bleu-scores/)

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1. [Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning](https://aclanthology.org/2024.findings-acl.560/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
2. [Cultural Adaptation of Recipes](https://aclanthology.org/2024.tacl-1.5/) *— 2024 · Transactions of the Association for Computational Linguistics*
3. [DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding](https://aclanthology.org/2024.lrec-main.395/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
4. [DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators](https://aclanthology.org/2024.emnlp-main.1131/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
5. [Decoder-only Streaming Transformer for Simultaneous Translation](https://aclanthology.org/2024.acl-long.480/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Deep Learning Meets Egyptology: a Hieroglyphic Transformer for Translating Ancient Egyptian](https://aclanthology.org/2024.ml4al-1.9/) *— 2024 · Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)*
7. [DejaVu: Disambiguation evaluation dataset for English-JApanese machine translation on VisUal information](https://aclanthology.org/2024.paclic-1.50/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
8. [Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts](https://aclanthology.org/2024.acl-long.192/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [Detector–Corrector: Edit-Based Automatic Post Editing for Human Post Editing](https://aclanthology.org/2024.eamt-1.18/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
10. [Disentangling the Roles of Target-side Transfer and Regularization in Multilingual Machine Translation](https://aclanthology.org/2024.eacl-long.110/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [Distilling Text Style Transfer With Self-Explanation From LLMs](https://arxiv.org/abs/2403.01106) *— 2024 · arXiv:2403.01106*
12. [Document-Level Machine Translation with Large-Scale Public Parallel Corpora](https://aclanthology.org/2024.acl-long.712/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [Domain Dynamics: Evaluating Large Language Models in English-Hindi Translation](https://aclanthology.org/2024.wmt-1.27/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
14. [Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation](https://aclanthology.org/2024.acl-long.653/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Efficient $k$-Nearest-Neighbor Machine Translation with Dynamic Retrieval](https://aclanthology.org/2024.findings-acl.475/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
16. [Elastic Weight Removal for Faithful and Abstractive Dialogue Generation](https://aclanthology.org/2024.naacl-long.393/) *— 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. [Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions](https://aclanthology.org/2024.tacl-1.32/) *— 2024 · Transactions of the Association for Computational Linguistics*
18. [Empowering Diffusion Models on the Embedding Space for Text Generation](https://aclanthology.org/2024.naacl-long.261/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
19. [Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages](https://aclanthology.org/2024.acl-long.603/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [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)*
21. [Estonian-Centric Machine Translation: Data, Models, and Challenges](https://aclanthology.org/2024.eamt-1.55/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
22. [Evaluating Automatic Metrics with Incremental Machine Translation Systems](https://aclanthology.org/2024.findings-emnlp.169/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
23. [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)*
24. [Evaluating Structural Generalization in Neural Machine Translation](https://aclanthology.org/2024.findings-acl.783/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
25. [Evaluation Dataset for Lexical Translation Consistency in Chinese-to-English Document-level Translation](https://aclanthology.org/2024.lrec-main.583/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
26. [Event Causality Is Key to Computational Story Understanding](https://aclanthology.org/2024.naacl-long.191/) *— 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. [Expanding FLORES+ Benchmark for More Low-Resource Settings: Portuguese-Emakhuwa Machine Translation Evaluation](https://aclanthology.org/2024.wmt-1.45/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
28. [Expanding the FLORES+ Multilingual Benchmark with Translations for Aragonese, Aranese, Asturian, and Valencian](https://aclanthology.org/2024.wmt-1.41/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
29. [FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes](https://aclanthology.org/2024.eamt-1.16/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
30. [FFSTC: Fongbe to French Speech Translation Corpus](https://aclanthology.org/2024.lrec-main.638/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
31. [FINDINGS OF THE IWSLT 2024 EVALUATION CAMPAIGN](https://aclanthology.org/2024.iwslt-1.1/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
32. [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*
33. [Findings of WMT2024 English-to-Low Resource Multimodal Translation Task](https://aclanthology.org/2024.wmt-1.56/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
34. [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)*
35. [Findings of the WMT 2024 Shared Task on Chat Translation](https://aclanthology.org/2024.wmt-1.59/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
36. [Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet](https://aclanthology.org/2024.wmt-1.1/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
37. [Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?](https://aclanthology.org/2024.emnlp-main.24/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
38. [From Persona to Personalization: A Survey on Role-Playing Language Agents](https://arxiv.org/abs/2404.18231) *— 2024 · arXiv:2404.18231*
39. [GAATME: A Genetic Algorithm for Adversarial Translation Metrics Evaluation](https://aclanthology.org/2024.lrec-main.668/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
40. [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*
41. [Generalists vs. Specialists: Evaluating Large Language Models for Urdu](https://aclanthology.org/2024.findings-emnlp.426/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
42. [Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding](https://aclanthology.org/2024.findings-acl.503/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
43. [Generating from AMRs into High and Low-Resource Languages using Phylogenetic Knowledge and Hierarchical QLoRA Training (HQL)](https://aclanthology.org/2024.inlg-main.7/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
44. [Grammar-based Data Augmentation for Low-Resource Languages: The Case of Guarani-Spanish Neural Machine Translation](https://aclanthology.org/2024.naacl-long.354/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
45. [Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation](https://aclanthology.org/2024.amta-research.9/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
46. [Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations](https://aclanthology.org/2024.findings-naacl.265/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
47. [How Does Quantization Affect Multilingual LLMs?](https://aclanthology.org/2024.findings-emnlp.935/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
48. [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*
49. [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)*
50. [Human Evaluation of the Usefulness of Fine-Tuned English Translators for the Guarani Mbya and Nheengatu Indigenous Languages](https://aclanthology.org/2024.propor-2.7/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 2*
51. [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*
52. [INCLURE: a Dataset and Toolkit for Inclusive French Translation](https://aclanthology.org/2024.bucc-1.7/) *— 2024 · Proceedings of the 17th Workshop on Building and Using Comparable Corpora (BUCC) @ LREC-COLING 2024*
53. [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*
54. [Improving Minimum Bayes Risk Decoding with Multi-Prompt](https://aclanthology.org/2024.emnlp-main.1255/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
55. [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*
56. [Improving Vietnamese-English Medical Machine Translation](https://aclanthology.org/2024.lrec-main.784/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
57. [Interplay of Machine Translation, Diacritics, and Diacritization](https://aclanthology.org/2024.naacl-long.420/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
58. [Investigating Data Contamination in Modern Benchmarks for Large Language Models](https://aclanthology.org/2024.naacl-long.482/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
59. [Is Context Helpful for Chat Translation Evaluation?](https://arxiv.org/abs/2403.08314) *— 2024 · arXiv:2403.08314*
60. [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)*
61. [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*
62. [JaParaPat: A Large-Scale Japanese-English Parallel Patent Application Corpus](https://aclanthology.org/2024.lrec-main.826/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
63. [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)*
64. [LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question Answering](https://arxiv.org/abs/2410.13013) *— 2024 · arXiv:2410.13013*
65. [LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback](https://aclanthology.org/2024.findings-acl.488/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
66. [LLMs and Translation: different approaches to localization between Brazilian Portuguese and European Portuguese](https://aclanthology.org/2024.propor-1.5/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1*
67. [LLMs in Post-Translation Workflows: Comparing Performance in Post-Editing and Error Analysis](https://aclanthology.org/2024.eamt-1.32/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
68. [LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots](https://arxiv.org/abs/2403.08943) *— 2024 · arXiv:2403.08943*
69. [Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level](https://aclanthology.org/2024.emnlp-main.860/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
70. [Language and Speech Technology for Central Kurdish Varieties](https://aclanthology.org/2024.lrec-main.877/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
71. [Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning](https://aclanthology.org/2024.findings-emnlp.328/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
72. [Large language models "ad referendum": How good are they at machine translation in the legal domain?](https://www.e-revistes.uji.es/index.php/monti/article/view/7514) *— 2024 · MonTI. Monografías de Traducción e Interpretación*
73. [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*
74. [Let''s Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation](https://aclanthology.org/2024.acl-long.860/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
75. [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)*
76. [Lexically Grounded Subword Segmentation](https://aclanthology.org/2024.emnlp-main.421/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
77. [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)*
78. [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*
79. [M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions](https://aclanthology.org/2024.acl-long.108/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
80. [MSLC24 Submissions to the General Machine Translation Task](https://aclanthology.org/2024.wmt-1.7/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
81. [MSLC24: Further Challenges for Metrics on a Wide Landscape of Translation Quality](https://aclanthology.org/2024.wmt-1.34/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
82. [MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine Translation](https://aclanthology.org/2024.naacl-long.358/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
83. [MT-Ranker: Reference-free machine translation evaluation by inter-system ranking](https://arxiv.org/abs/2401.17099) *— 2024 · arXiv:2401.17099*
84. [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)*
85. [MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences](https://arxiv.org/abs/2410.02381) *— 2024 · arXiv:2410.02381*
86. [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)*
87. [Mitigating Metric Bias in Minimum Bayes Risk Decoding](https://aclanthology.org/2024.wmt-1.109/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
88. [Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing](https://aclanthology.org/2024.emnlp-main.879/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
89. [Mitra: Improving Terminologically Constrained Translation Quality with Backtranslations and Flag Diacritics](https://aclanthology.org/2024.eamt-1.12/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
90. [Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts](https://aclanthology.org/2024.findings-acl.621/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
91. [Modularized Multilingual NMT with Fine-grained Interlingua](https://aclanthology.org/2024.naacl-long.328/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
92. [More Agents Is All You Need](https://arxiv.org/abs/2402.05120) *— 2024 · arXiv:2402.05120*
93. [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)*
94. [MultiMUC: Multilingual Template Filling on MUC-4](https://aclanthology.org/2024.eacl-long.21/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [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)*
96. [Nemotron-4 15B Technical Report](https://arxiv.org/abs/2402.16819) *— 2024 · arXiv:2402.16819*
97. [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*
98. [Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants](https://md.mova.elamur.ai/free/en/docs/papers/rubino-2024-normalizing-without-modernizing-keeping-historical/) *— our card · 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
99. [OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification](https://aclanthology.org/2024.acl-long.549/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [On Instruction-Finetuning Neural Machine Translation Models](https://aclanthology.org/2024.wmt-1.114/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*

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