---
title: "Who cites A Call for Clarity in Reporting BLEU Scores —…"
description: "The papers of the Elamur Research library that cite «A Call for Clarity in Reporting BLEU Scores», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/17/"
---
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# Who cites «A Call for Clarity in Reporting BLEU Scores» · page 17

2105 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/post-2018-call-clarity-reporting-bleu-scores/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/) · … · [16](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/16/) · **17** · [18](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/18/) · … · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)

1. [DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization](https://aclanthology.org/2021.emnlp-main.140/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
2. [Data Augmentation for Sign Language Gloss Translation](https://aclanthology.org/2021.mtsummit-at4ssl.1/) *— 2021 · Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL)*
3. [Data Processing Matters: SRPH-Konvergen AI”s Machine Translation System for WMT”21](https://aclanthology.org/2021.wmt-1.52/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
4. [Data and Parameter Scaling Laws for Neural Machine Translation](https://aclanthology.org/2021.emnlp-main.478/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
5. [Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation](https://aclanthology.org/2021.emnlp-main.633/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
6. [Dealing with training and test segmentation mismatch: FBK@IWSLT2021](https://aclanthology.org/2021.iwslt-1.8/) *— 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)*
7. [Detecting Hallucinated Content in Conditional Neural Sequence Generation](https://aclanthology.org/2021.findings-acl.120/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
8. [Detecting Post-Edited References and Their Effect on Human Evaluation](https://aclanthology.org/2021.humeval-1.13/) *— 2021 · Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)*
9. [DialDoc 2021 Shared Task: Goal-Oriented Document-grounded Dialogue Modeling](https://aclanthology.org/2021.dialdoc-1.1/) *— 2021 · Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021)*
10. [Discourse-Based Sentence Splitting](https://aclanthology.org/2021.findings-emnlp.25/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
11. [Discriminative Reranking for Neural Machine Translation](https://aclanthology.org/2021.acl-long.563/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
12. [Diverse Pretrained Context Encodings Improve Document Translation](https://aclanthology.org/2021.acl-long.104/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
13. [Do Context-Aware Translation Models Pay the Right Attention?](https://aclanthology.org/2021.acl-long.65/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
14. [Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings](https://aclanthology.org/2021.blackboxnlp-1.3/) *— 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
15. [Domain-specific MT for Low-resource Languages: The case of Bambara-French](https://arxiv.org/abs/2104.00041) *— 2021 · arXiv:2104.00041*
16. [Don”t Go Far Off: An Empirical Study on Neural Poetry Translation](https://aclanthology.org/2021.emnlp-main.577/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
17. [ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation](https://arxiv.org/abs/2107.02137) *— 2021 · arXiv:2107.02137*
18. [Edinburgh's End-to-End Multilingual Speech Translation System for IWSLT 2021](https://aclanthology.org/2021.iwslt-1.19/) *— 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)*
19. [End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages](https://aclanthology.org/2021.acl-long.311/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
20. [End-to-End Speech Translation with Pre-trained Models and Adapters: UPC at IWSLT 2021](https://aclanthology.org/2021.iwslt-1.11/) *— 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)*
21. [Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models](https://aclanthology.org/2021.acl-long.349/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
22. [Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs](https://aclanthology.org/2021.wmt-1.8/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
23. [Evaluating the Efficacy of Summarization Evaluation across Languages](https://aclanthology.org/2021.findings-acl.71/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
24. [Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer](https://md.research.elamur.ai/free/en/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/) *— our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
25. [Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction](https://aclanthology.org/2021.emnlp-main.149/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
26. [Exploring Input Representation Granularity for Generating Questions Satisfying Question-Answer Congruence](https://aclanthology.org/2021.inlg-1.3/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
27. [Exploring Unsupervised Pretraining Objectives for Machine Translation](https://aclanthology.org/2021.findings-acl.261/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
28. [Extremely low-resource machine translation for closely related languages](https://aclanthology.org/2021.nodalida-main.5/) *— 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)*
29. [FJWU Participation for the WMT21 Biomedical Translation Task](https://aclanthology.org/2021.wmt-1.86/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
30. [Facebook AI's WMT21 News Translation Task Submission](https://aclanthology.org/2021.wmt-1.19/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
31. [Factorising Meaning and Form for Intent-Preserving Paraphrasing](https://aclanthology.org/2021.acl-long.112/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
32. [Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates](https://arxiv.org/abs/2109.12804) *— 2021 · arXiv:2109.12804*
33. [Few-shot Learning with Multilingual Language Models](https://arxiv.org/abs/2112.10668) *— 2021 · arXiv:2112.10668*
34. [Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages](https://aclanthology.org/2021.mtsummit-loresmt.11/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
35. [Findings of the WMT 2021 Shared Task on Efficient Translation](https://aclanthology.org/2021.wmt-1.68/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
36. [Findings of the WMT 2021 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT](https://aclanthology.org/2021.wmt-1.72/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
37. [Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade](https://aclanthology.org/2021.findings-acl.11/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
38. [GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation](https://aclanthology.org/2021.emnlp-main.123/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
39. [GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC Task](https://aclanthology.org/2021.semeval-1.92/) *— 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)*
40. [Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem](https://aclanthology.org/2021.acl-long.41/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
41. [Grouping Words with Semantic Diversity](https://aclanthology.org/2021.naacl-main.257/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
42. [Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation](https://aclanthology.org/2021.acl-long.223/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
43. [HPSG/MRS-Based Natural Language Generation Using Transformer](https://aclanthology.org/2021.paclic-1.31/) *— 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation*
44. [HW-TSC's Participation in the WMT 2021 Efficiency Shared Task](https://aclanthology.org/2021.wmt-1.75/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
45. [HW-TSC's Participation in the WMT 2021 News Translation Shared Task](https://aclanthology.org/2021.wmt-1.21/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
46. [HW-TSC's Participation in the WMT 2021 Triangular MT Shared Task](https://aclanthology.org/2021.wmt-1.37/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
47. [Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages](https://aclanthology.org/2021.naacl-main.89/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
48. [HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints](https://aclanthology.org/2021.emnlp-main.129/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
49. [How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?](https://aclanthology.org/2021.findings-emnlp.60/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
50. [How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation](https://aclanthology.org/2021.findings-acl.313/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
51. [Importance-based Neuron Allocation for Multilingual Neural Machine Translation](https://aclanthology.org/2021.acl-long.445/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
52. [Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction](https://aclanthology.org/2021.acl-short.94/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
53. [Improving Machine Translation of Rare and Unseen Word Senses](https://aclanthology.org/2021.wmt-1.66/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
54. [Improving Multilingual Neural Machine Translation with Auxiliary Source Languages](https://aclanthology.org/2021.findings-emnlp.260/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
55. [Improving Multilingual Translation by Representation and Gradient Regularization](https://aclanthology.org/2021.emnlp-main.578/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
56. [Improving Neural Machine Translation by Bidirectional Training](https://aclanthology.org/2021.emnlp-main.263/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
57. [Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task](https://aclanthology.org/2021.acl-long.328/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
58. [Improving Zero-Shot Translation by Disentangling Positional Information](https://aclanthology.org/2021.acl-long.101/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
59. [Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation](https://aclanthology.org/2021.naacl-main.16/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
60. [Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation](https://aclanthology.org/2021.emnlp-main.666/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
61. [Input Augmentation Improves Constrained Beam Search for Neural Machine Translation: NTT at WAT 2021](https://aclanthology.org/2021.wat-1.3/) *— 2021 · Proceedings of the 8th Workshop on Asian Translation (WAT2021)*
62. [Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages](https://aclanthology.org/2021.mtsummit-research.7/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
63. [Investigating Softmax Tempering for Training Neural Machine Translation Models](https://aclanthology.org/2021.mtsummit-research.10/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
64. [Is “moby dick” a Whale or a Bird? Named Entities and Terminology in Speech Translation](https://aclanthology.org/2021.emnlp-main.128/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
65. [Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse](https://aclanthology.org/2021.woah-1.14/) *— 2021 · Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021)*
66. [Joint Optimization of Tokenization and Downstream Model](https://aclanthology.org/2021.findings-acl.21/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
67. [LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer](https://aclanthology.org/2021.findings-acl.344/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
68. [LISN @ WMT 2021](https://aclanthology.org/2021.wmt-1.22/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
69. [Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning](https://aclanthology.org/2021.eacl-main.233/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
70. [Learning Kernel-Smoothed Machine Translation with Retrieved Examples](https://aclanthology.org/2021.emnlp-main.579/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
71. [Learning to Rewrite for Non-Autoregressive Neural Machine Translation](https://aclanthology.org/2021.emnlp-main.265/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
72. [Learning to Selectively Learn for Weakly-supervised Paraphrase Generation](https://aclanthology.org/2021.emnlp-main.480/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
73. [Like Chalk and Cheese? On the Effects of Translationese in MT Training](https://aclanthology.org/2021.mtsummit-research.9/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
74. [Linear Transformers Are Secretly Fast Weight Programmers](https://arxiv.org/abs/2102.11174) *— 2021 · arXiv:2102.11174*
75. [Low-Resource Machine Translation Using Cross-Lingual Language Model Pretraining](https://aclanthology.org/2021.americasnlp-1.26/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
76. [MMTAfrica: Multilingual Machine Translation for African Languages](https://aclanthology.org/2021.wmt-1.48/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
77. [Machine Translation into Low-resource Language Varieties](https://aclanthology.org/2021.acl-short.16/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
78. [Machine Translation of Low-Resource Indo-European Languages](https://aclanthology.org/2021.wmt-1.41/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
79. [Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation](https://aclanthology.org/2021.eacl-main.188/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
80. [Many-to-English Machine Translation Tools, Data, and Pretrained Models](https://aclanthology.org/2021.acl-demo.37/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*
81. [Measuring and Increasing Context Usage in Context-Aware Machine Translation](https://aclanthology.org/2021.acl-long.505/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
82. [Modeling Bilingual Conversational Characteristics for Neural Chat Translation](https://aclanthology.org/2021.acl-long.444/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
83. [Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model](https://aclanthology.org/2021.findings-emnlp.121/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
84. [Modeling Target-side Inflection in Placeholder Translation](https://aclanthology.org/2021.mtsummit-research.19/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
85. [Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation](https://aclanthology.org/2021.acl-short.46/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
86. [Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement](https://aclanthology.org/2021.wmt-1.119/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
87. [Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences](https://aclanthology.org/2021.emnlp-main.54/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
88. [More Parameters? No Thanks!](https://aclanthology.org/2021.findings-acl.9/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
89. [Morphologically-Guided Segmentation For Translation of Agglutinative Low-Resource Languages](https://aclanthology.org/2021.mtsummit-loresmt.3/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
90. [Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional Tagging](https://aclanthology.org/2021.mtsummit-up.27/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Users and Providers Track*
91. [Multi-Pair Text Style Transfer for Unbalanced Data via Task-Adaptive Meta-Learning](https://aclanthology.org/2021.metanlp-1.4/) *— 2021 · Proceedings of the 1st Workshop on Meta Learning and Its Applications to Natural Language Processing*
92. [Multi-Pair Text Style Transfer on Unbalanced Data](https://arxiv.org/abs/2106.10608) *— 2021 · arXiv:2106.10608*
93. [Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation](https://aclanthology.org/2021.emnlp-main.677/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
94. [MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents](https://aclanthology.org/2021.emnlp-main.498/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
95. [Multilingual Agreement for Multilingual Neural Machine Translation](https://aclanthology.org/2021.acl-short.31/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
96. [Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters](https://aclanthology.org/2021.wmt-1.64/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
97. [Multilingual Simultaneous Neural Machine Translation](https://aclanthology.org/2021.findings-acl.420/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
98. [Multilingual Speech Translation from Efficient Finetuning of Pretrained Models](https://aclanthology.org/2021.acl-long.68/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
99. [Multilingual Translation via Grafting Pre-trained Language Models](https://aclanthology.org/2021.findings-emnlp.233/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
100. [Multilingual Unsupervised Neural Machine Translation with Denoising Adapters](https://aclanthology.org/2021.emnlp-main.533/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*

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