---
title: "Who cites Bleu: a Method for Automatic Evaluation of…"
description: "The papers of the Elamur Research library that cite «Bleu: a Method for Automatic Evaluation of Machine Translation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/39/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 39

10821 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/papineni-2002-bleu-method-automatic-evaluation-machine/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [38](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/38/) · **39** · [40](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/40/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection](https://aclanthology.org/2023.emnlp-main.867/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
2. [KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing](https://aclanthology.org/2023.emnlp-main.292/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
3. [KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation](https://arxiv.org/abs/2301.12699) *— 2023 · arXiv:2301.12699*
4. [KG-IQES: An Interpretable Quality Estimation System for Machine Translation Based on Knowledge Graph](https://aclanthology.org/2023.mtsummit-users.15/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
5. [KGVL-BART: Knowledge Graph Augmented Visual Language BART for Radiology Report Generation](https://aclanthology.org/2023.eacl-main.246/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
6. [KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations](https://aclanthology.org/2023.acl-short.47/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
7. [KT2: Kannada-Tulu Parallel Corpus Construction for Neural Machine Translation](https://aclanthology.org/2023.icon-1.75/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
8. [KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization](https://aclanthology.org/2023.bionlp-1.59/) *— 2023 · Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks*
9. [Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models](https://aclanthology.org/2023.findings-acl.545/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
10. [KnowComp Submission for WMT23 Sign Language Translation Task](https://aclanthology.org/2023.wmt-1.36/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
11. [KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization](https://aclanthology.org/2023.bionlp-1.54/) *— 2023 · Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks*
12. [Knowledge Graph Compression Enhances Diverse Commonsense Generation](https://aclanthology.org/2023.emnlp-main.37/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
13. [Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation](https://arxiv.org/abs/2305.18846) *— 2023 · arXiv:2305.18846*
14. [Knowledge-Grounded Natural Language Recommendation Explanation](https://aclanthology.org/2023.blackboxnlp-1.1/) *— 2023 · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
15. [Kurosawa: A Script Writer”s Assistant](https://aclanthology.org/2023.icon-1.50/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
16. [L”évaluation de la traduction automatique du caractère au document : un état de l”art](https://aclanthology.org/2023.jeptalnrecital-rjc.10/) *— 2023 · Actes de CORIA-TALN 2023. Actes des 16e Rencontres Jeunes Chercheurs en RI (RJCRI) et 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL)*
17. [LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization](https://aclanthology.org/2023.findings-acl.356/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
18. [LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation](https://aclanthology.org/2023.findings-emnlp.613/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
19. [LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages](https://aclanthology.org/2023.emnlp-main.895/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
20. [LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models](https://arxiv.org/abs/2305.13711) *— 2023 · arXiv:2305.13711*
21. [LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models](https://aclanthology.org/2023.emnlp-main.825/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
22. [LLMs – the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases](https://aclanthology.org/2023.findings-emnlp.831/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
23. [LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model Prompting](https://aclanthology.org/2023.findings-acl.104/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
24. [La détection de textes générés par des modèles de langue : une tâche complexe? Une étude sur des textes académiques](https://aclanthology.org/2023.jeptalnrecital-arts.12/) *— 2023 · Actes de CORIA-TALN 2023. Actes de l'atelier “Analyse et Recherche de Textes Scientifiques” (ARTS)@TALN 2023*
25. [Language Model Based Target Token Importance Rescaling for Simultaneous Neural Machine Translation](https://aclanthology.org/2023.iwslt-1.32/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
26. [Language Model Self-improvement by Reinforcement Learning Contemplation](https://arxiv.org/abs/2305.14483) *— 2023 · arXiv:2305.14483*
27. [Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation](https://arxiv.org/abs/2301.02275) *— 2023 · arXiv:2301.02275*
28. [Large Language Model Unlearning](https://arxiv.org/abs/2310.10683) *— 2023 · arXiv:2310.10683*
29. [Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters](https://aclanthology.org/2023.findings-emnlp.570/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
30. [Large Language Models Meet NL2Code: A Survey](https://aclanthology.org/2023.acl-long.411/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization](https://aclanthology.org/2023.findings-emnlp.278/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
32. [Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization](https://arxiv.org/abs/2305.13091) *— 2023 · arXiv:2305.13091 · Findings of EMNLP 2023*
33. [Large Language Models are few(1)-shot Table Reasoners](https://aclanthology.org/2023.findings-eacl.83/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
34. [Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues](https://aclanthology.org/2023.findings-emnlp.641/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
35. [Large Language Models for Automated Open-domain Scientific Hypotheses Discovery](https://arxiv.org/abs/2309.02726) *— 2023 · arXiv:2309.02726*
36. [Large Language Models for Information Retrieval: A Survey](https://arxiv.org/abs/2308.07107) *— 2023 · arXiv:2308.07107*
37. [Larth: Dataset and Machine Translation for Etruscan](https://aclanthology.org/2023.alp-1.5/) *— 2023 · Proceedings of the Ancient Language Processing Workshop*
38. [LayoutDIT: Layout-Aware End-to-End Document Image Translation with Multi-Step Conductive Decoder](https://aclanthology.org/2023.findings-emnlp.673/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
39. [Learning Answer Generation using Supervision from Automatic Question Answering Evaluators](https://aclanthology.org/2023.acl-long.467/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [Learning Disentangled Meaning and Style Representations for Positive Text Reframing](https://aclanthology.org/2023.inlg-main.31/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
41. [Learning Disentangled Representations for Natural Language Definitions](https://aclanthology.org/2023.findings-eacl.101/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
42. [Learning From Free-Text Human Feedback – Collect New Datasets Or Extend Existing Ones?](https://aclanthology.org/2023.emnlp-main.1011/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
43. [Learning Nearest Neighbour Informed Latent Word Embeddings to Improve Zero-Shot Machine Translation](https://aclanthology.org/2023.iwslt-1.27/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
44. [Learning Optimal Policy for Simultaneous Machine Translation via Binary Search](https://aclanthology.org/2023.acl-long.130/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [Learning Retrieval Augmentation for Personalized Dialogue Generation](https://aclanthology.org/2023.emnlp-main.154/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
46. [Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models](https://arxiv.org/abs/2302.03491) *— 2023 · arXiv:2302.03491*
47. [Learning by Analogy: Diverse Questions Generation in Math Word Problem](https://aclanthology.org/2023.findings-acl.705/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
48. [Learning from Mistakes: Towards Robust Neural Machine Translation for Disfluent L2 Sentences](https://aclanthology.org/2023.mtsummit-research.20/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
49. [Learning from Past Mistakes: Quality Estimation from Monolingual Corpora and Machine Translation Learning Stages](https://aclanthology.org/2023.mtsummit-research.8/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
50. [Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization](https://aclanthology.org/2023.findings-emnlp.108/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
51. [Learning to Diversify Neural Text Generation via Degenerative Model](https://aclanthology.org/2023.findings-ijcnlp.6/) *— 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)*
52. [Learning to Generate Equitable Text in Dialogue from Biased Training Data](https://aclanthology.org/2023.acl-long.163/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [Learning to Imagine: Visually-Augmented Natural Language Generation](https://aclanthology.org/2023.acl-long.526/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
54. [Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing](https://aclanthology.org/2023.acl-long.177/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [Length Does Matter: Summary Length can Bias Summarization Metrics](https://aclanthology.org/2023.emnlp-main.984/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
56. [Length-Aware NMT and Adaptive Duration for Automatic Dubbing](https://aclanthology.org/2023.iwslt-1.9/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
57. [Les textes cliniques français générés sont-ils dangereusement similaires à leur source ? Analyse par plongements de phrases](https://aclanthology.org/2023.jeptalnrecital-short.5/) *— 2023 · Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 2 : travaux de recherche originaux – articles courts*
58. [Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery](https://aclanthology.org/2023.tacl-1.30/) *— 2023 · Transactions of the Association for Computational Linguistics*
59. [Leveraging Highly Accurate Word Alignment for Low Resource Translation by Pretrained Multilingual Model](https://aclanthology.org/2023.mtsummit-research.28/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
60. [Leveraging Low-resource Parallel Data for Text Style Transfer](https://aclanthology.org/2023.inlg-main.27/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
61. [Leveraging Multilingual Knowledge Graph to Boost Domain-specific Entity Translation of ChatGPT](https://aclanthology.org/2023.mtsummit-users.7/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
62. [Leveraging Prefix Transfer for Multi-Intent Text Revision](https://aclanthology.org/2023.acl-short.105/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
63. [Lexical Complexity Controlled Sentence Generation for Language Learning](https://aclanthology.org/2023.ccl-1.56/) *— 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics*
64. [Lexical Translation Inconsistency-Aware Document-Level Translation Repair](https://aclanthology.org/2023.findings-acl.791/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
65. [LightFormer: Light-weight Transformer Using SVD-based Weight Transfer and Parameter Sharing](https://aclanthology.org/2023.findings-acl.656/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
66. [Local Interpretation of Transformer Based on Linear Decomposition](https://aclanthology.org/2023.acl-long.572/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
67. [Location-Aware Visual Question Generation with Lightweight Models](https://aclanthology.org/2023.emnlp-main.88/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
68. [Long to reign over us: A Case Study of Machine Translation and a New Monarch](https://aclanthology.org/2023.findings-acl.412/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
69. [Long-form Simultaneous Speech Translation: Thesis Proposal](https://aclanthology.org/2023.ijcnlp-srw.9/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Student Research Workshop*
70. [LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization](https://aclanthology.org/2023.eacl-main.121/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
71. [Lost in Translation No More: Fine-tuned transformer-based models for CodeMix to English Machine Translation](https://aclanthology.org/2023.icon-1.25/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
72. [Low-Resource Text Style Transfer for Bangla: Data & Models](https://aclanthology.org/2023.banglalp-1.5/) *— 2023 · Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)*
73. [MAX-ISI System at WMT23 Discourse-Level Literary Translation Task](https://aclanthology.org/2023.wmt-1.29/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
74. [MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods](https://arxiv.org/abs/2309.10966) *— 2023 · arXiv:2309.10966*
75. [MEE4 and XLsim : IIIT HYD”s Submissions” for WMT23 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.66/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
76. [MEEP: Is this Engaging? Prompting Large Language Models for Dialogue Evaluation in Multilingual Settings](https://aclanthology.org/2023.findings-emnlp.137/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
77. [MERCY: Multiple Response Ranking Concurrently in Realistic Open-Domain Conversational Systems](https://aclanthology.org/2023.sigdial-1.58/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
78. [MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments](https://aclanthology.org/2023.emnlp-main.321/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
79. [MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages](https://arxiv.org/abs/2310.09765) *— 2023 · arXiv:2310.09765*
80. [MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types](https://aclanthology.org/2023.findings-acl.274/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
81. [MITRA-zh: An efficient, open machine translation solution for Buddhist Chinese](https://aclanthology.org/2023.nlp4dh-1.29/) *— 2023 · Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages*
82. [MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation](https://aclanthology.org/2023.acl-long.405/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization](https://aclanthology.org/2023.ijcnlp-main.4/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
84. [MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer](https://arxiv.org/abs/2306.07994) *— 2023 · arXiv:2306.07994*
85. [MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation](https://aclanthology.org/2023.iwslt-1.12/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
86. [MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation](https://aclanthology.org/2023.findings-acl.521/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
87. [MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path with Flexible Turns](https://aclanthology.org/2023.findings-acl.18/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
88. [MUNI-NLP Systems for Low-resource Indic Machine Translation](https://aclanthology.org/2023.wmt-1.91/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
89. [MaNtLE: Model-agnostic Natural Language Explainer](https://aclanthology.org/2023.emnlp-main.832/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
90. [MaTOS: Traduction automatique pour la science ouverte](https://aclanthology.org/2023.jeptalnrecital-arts.2/) *— 2023 · Actes de CORIA-TALN 2023. Actes de l'atelier “Analyse et Recherche de Textes Scientifiques” (ARTS)@TALN 2023*
91. [Machine Translation Advancements for Low-Resource Indian Languages in WMT23: CFILT-IITB”s Effort for Bridging the Gap](https://aclanthology.org/2023.wmt-1.89/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
92. [Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting](https://aclanthology.org/2023.findings-eacl.127/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
93. [Machine Translation for Ge'ez Language](https://arxiv.org/abs/2311.14530) *— 2023 · arXiv:2311.14530*
94. [Machine Translation for Low-resource Finno-Ugric Languages](https://aclanthology.org/2023.nodalida-1.77/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
95. [Machine Translation of literary texts: genres, times and systems](https://aclanthology.org/2023.nlp4tia-1.7/) *— 2023 · Proceedings of the First Workshop on NLP Tools and Resources for Translation and Interpreting Applications*
96. [Making Presentation Math Computable: A Context-Sensitive Approach for Translating LaTeX to Computer Algebra Systems](https://link.springer.com/book/10.1007/978-3-658-40473-4) *— 2023 · monograph*
97. [Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog](https://aclanthology.org/2023.findings-acl.708/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
98. [Masked Contrastive Reconstruction for Cross-modal Medical Image-Report Retrieval](https://arxiv.org/abs/2312.15840) *— 2023 · arXiv:2312.15840 · Under review at Pattern Recognition Letters, 2025*
99. [MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems](https://aclanthology.org/2023.findings-emnlp.372/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
100. [Measuring the Impact of Data Augmentation Methods for Extremely Low-Resource NMT](https://aclanthology.org/2023.loresmt-1.8/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [38](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/38/) · **39** · [40](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/40/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)