---
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/54/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 54

10827 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/) · … · [53](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/53/) · **54** · [55](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/55/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Why don't people use character-level machine translation?](https://aclanthology.org/2022.findings-acl.194/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
2. [WikiOmnia: filtration and evaluation of the generated QA corpus on the whole Russian Wikipedia](https://aclanthology.org/2022.gem-1.10/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
3. [Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation](https://aclanthology.org/2022.findings-emnlp.65/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
4. [WordNet-QU: Development of a Lexical Database for Quechua Varieties](https://aclanthology.org/2022.coling-1.390/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
5. [X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization](https://aclanthology.org/2022.emnlp-main.478/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
6. [XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence](https://arxiv.org/abs/2206.08474) *— 2022 · arXiv:2206.08474*
7. [XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.466/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
8. [You Don”t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers” Private Personas](https://aclanthology.org/2022.naacl-main.429/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
9. [You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge](https://aclanthology.org/2022.findings-emnlp.75/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
10. [“Hi, how can I help you?” Improving Machine Translation of Conversational Content in a Business Context](https://aclanthology.org/2022.eamt-1.22/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
11. [“Slow Service” \ensuremath\nrightarrow “Great Food”: Enhancing Content Preservation in Unsupervised Text Style Transfer](https://aclanthology.org/2022.inlg-main.3/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
12. [“What makes a question inquisitive?” A Study on Type-Controlled Inquisitive Question Generation](https://aclanthology.org/2022.starsem-1.22/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
13. [e-CARE: a New Dataset for Exploring Explainable Causal Reasoning](https://aclanthology.org/2022.acl-long.33/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding](https://aclanthology.org/2022.acl-long.276/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [eTranslation's Submissions to the WMT22 General Machine Translation Task](https://aclanthology.org/2022.wmt-1.29/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
16. [gaHealth: An English–Irish Bilingual Corpus of Health Data](https://aclanthology.org/2022.lrec-1.727/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
17. [nEYron: Implementation and Deployment of an MT System for a Large Audit & Consulting Corporation](https://aclanthology.org/2022.eamt-1.21/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
18. [ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation](https://aclanthology.org/2022.coling-1.446/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
19. [niksss at HinglishEval: Language-agnostic BERT-based Contextual Embeddings with Catboost for Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text](https://aclanthology.org/2022.inlg-genchal.5/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation: Generation Challenges*
20. [semiPQA: A Study on Product Question Answering over Semi-structured Data](https://aclanthology.org/2022.ecnlp-1.14/) *— 2022 · Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)*
21. [stopes - Modular Machine Translation Pipelines](https://aclanthology.org/2022.emnlp-demos.26/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
22. [基于图文细粒度对齐语义引导的多模态神经机器翻译方法(Based on Semantic Guidance of Fine-grained Alignment of Image-Text for Multi-modal Neural Machine Translation)](https://aclanthology.org/2022.ccl-1.26/) *— 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics*
23. [生成,推理与排序:基于多任务架构的数学文字题生成(Generating, Reasoning & Ranking: Multitask Learning Framework for Math Word Problem Generation)](https://aclanthology.org/2022.ccl-1.17/) *— 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics*
24. [融入音素特征的英-泰-老多语言神经机器翻译方法(English-Thai-Lao multilingual neural machine translation fused with phonemic features)](https://aclanthology.org/2022.ccl-1.28/) *— 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics*
25. [融合提示学习的故事生成方法(A Story Generation Method Incorporating Prompt Learning)](https://aclanthology.org/2022.ccl-1.16/) *— 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics*
26. [$Q^2$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering](https://aclanthology.org/2021.emnlp-main.619/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
27. [A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss](https://aclanthology.org/2021.sigdial-1.49/) *— 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
28. [A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation](https://aclanthology.org/2021.findings-acl.150/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
29. [A Comprehensive Assessment of Dialog Evaluation Metrics](https://aclanthology.org/2021.eancs-1.3/) *— 2021 · The First Workshop on Evaluations and Assessments of Neural Conversation Systems*
30. [A Dataset and Baselines for Multilingual Reply Suggestion](https://aclanthology.org/2021.acl-long.97/) *— 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)*
31. [A Fine-Grained Analysis of BERTScore](https://aclanthology.org/2021.wmt-1.59/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
32. [A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations](https://aclanthology.org/2021.maiworkshop-1.4/) *— 2021 · Proceedings of the Third Workshop on Multimodal Artificial Intelligence*
33. [A Generative Framework for Simultaneous Machine Translation](https://aclanthology.org/2021.emnlp-main.536/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
34. [A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues](https://aclanthology.org/2021.acl-long.436/) *— 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)*
35. [A Large-Scale Study of Machine Translation in Turkic Languages](https://aclanthology.org/2021.emnlp-main.475/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
36. [A Review of Text Style Transfer using Deep Learning](https://arxiv.org/abs/2109.15144) *— 2021 · arXiv:2109.15144 · IEEE Transactions on Artificial Intelligence (TAI), (2021)*
37. [A Scaled Encoder Decoder Network for Image Captioning in Hindi](https://aclanthology.org/2021.icon-main.30/) *— 2021 · Proceedings of the 18th International Conference on Natural Language Processing (ICON)*
38. [A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders](https://aclanthology.org/2021.emnlp-main.792/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
39. [A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation](https://aclanthology.org/2021.naacl-main.392/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
40. [A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods](https://aclanthology.org/2021.tacl-1.67/) *— 2021 · Transactions of the Association for Computational Linguistics*
41. [A Study of Automatic Metrics for the Evaluation of Natural Language Explanations](https://aclanthology.org/2021.eacl-main.202/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
42. [A Study of Morphological Robustness of Neural Machine Translation](https://aclanthology.org/2021.sigmorphon-1.6/) *— 2021 · Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
43. [A Syntax-Aware Edit-based System for Text Simplification](https://aclanthology.org/2021.ranlp-1.38/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
44. [A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems](https://aclanthology.org/2021.dialdoc-1.3/) *— 2021 · Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021)*
45. [A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation](https://aclanthology.org/2021.emnlp-main.173/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
46. [A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy](https://aclanthology.org/2021.acl-long.34/) *— 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)*
47. [A Transition-based Parser for Unscoped Episodic Logical Forms](https://aclanthology.org/2021.iwcs-1.18/) *— 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)*
48. [A Tutorial on Evaluation Metrics used in Natural Language Generation](https://aclanthology.org/2021.naacl-tutorials.4/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorials*
49. [A View From the Crowd: Evaluation Challenges for Time-Offset Interaction Applications](https://aclanthology.org/2021.humeval-1.9/) *— 2021 · Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)*
50. [A3-108 Machine Translation System for Similar Language Translation Shared Task 2021](https://aclanthology.org/2021.wmt-1.33/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
51. [ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences](https://aclanthology.org/2021.acl-long.303/) *— 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. [AESOP: Paraphrase Generation with Adaptive Syntactic Control](https://aclanthology.org/2021.emnlp-main.420/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
53. [APo-VAE: Text Generation in Hyperbolic Space](https://aclanthology.org/2021.naacl-main.36/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
54. [AVA: an Automatic eValuation Approach for Question Answering Systems](https://aclanthology.org/2021.naacl-main.412/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
55. [Active Learning for Massively Parallel Translation of Constrained Text into Low Resource Languages](https://aclanthology.org/2021.mtsummit-loresmt.4/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
56. [Ad Headline Generation using Self-Critical Masked Language Model](https://aclanthology.org/2021.naacl-industry.33/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers*
57. [AdaST: Dynamically Adapting Encoder States in the Decoder for End-to-End Speech-to-Text Translation](https://aclanthology.org/2021.findings-acl.224/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
58. [Adam Mickiewicz University's English-Hausa Submissions to the WMT 2021 News Translation Task](https://aclanthology.org/2021.wmt-1.14/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
59. [Adapting Neural Machine Translation for Automatic Post-Editing](https://aclanthology.org/2021.wmt-1.35/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
60. [Adaptive Bridge between Training and Inference for Dialogue Generation](https://aclanthology.org/2021.emnlp-main.198/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
61. [Adaptive Fusion Techniques for Multimodal Data](https://aclanthology.org/2021.eacl-main.275/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
62. [Adaptive Nearest Neighbor Machine Translation](https://aclanthology.org/2021.acl-short.47/) *— 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)*
63. [Advancing Neural Question Generation for Formal Pragmatics: Learning when to generate and when to copy](https://aclanthology.org/2021.discann-1.6/) *— 2021 · Proceedings of the First Workshop on Integrating Perspectives on Discourse Annotation*
64. [Affective Decoding for Empathetic Response Generation](https://aclanthology.org/2021.inlg-1.37/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
65. [AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages](https://aclanthology.org/2021.emnlp-main.99/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
66. [AggGen: Ordering and Aggregating while Generating](https://aclanthology.org/2021.acl-long.113/) *— 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)*
67. [Alignment verification to improve NMT translation towards highly inflectional languages with limited resources](https://aclanthology.org/2021.eacl-main.158/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
68. [An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation](https://aclanthology.org/2021.emnlp-main.664/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
69. [An Empirical Performance Analysis of State-of-the-Art Summarization Models for Automatic Minuting](https://aclanthology.org/2021.paclic-1.6/) *— 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation*
70. [An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter](https://aclanthology.org/2021.acl-short.58/) *— 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)*
71. [An Investigation of Suitability of Pre-Trained Language Models for Dialogue Generation – Avoiding Discrepancies](https://aclanthology.org/2021.findings-acl.393/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
72. [An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages](https://aclanthology.org/2021.findings-emnlp.22/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
73. [Analyzing Architectures for Neural Machine Translation Using Low Computational Resources](https://arxiv.org/abs/2111.03813) *— 2021 · arXiv:2111.03813*
74. [Answer Generation for Retrieval-based Question Answering Systems](https://aclanthology.org/2021.findings-acl.374/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
75. [Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction](https://aclanthology.org/2021.acl-long.253/) *— 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)*
76. [Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task](https://aclanthology.org/2021.wmt-1.111/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
77. [As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation](https://aclanthology.org/2021.findings-acl.415/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
78. [Ask what”s missing and what”s useful: Improving Clarification Question Generation using Global Knowledge](https://aclanthology.org/2021.naacl-main.340/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
79. [Assessing Dialogue Systems with Distribution Distances](https://aclanthology.org/2021.findings-acl.193/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
80. [Assessing Evaluation Metrics for Speech-to-Speech Translation](https://arxiv.org/abs/2110.13877) *— 2021 · arXiv:2110.13877*
81. [Assessing Post-editing Effort in the English-Hindi Direction](https://aclanthology.org/2021.icon-main.7/) *— 2021 · Proceedings of the 18th International Conference on Natural Language Processing (ICON)*
82. [Assessing Reference-Free Peer Evaluation for Machine Translation](https://aclanthology.org/2021.naacl-main.91/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
83. [Attainable Text-to-Text Machine Translation vs. Translation: Issues Beyond Linguistic Processing](https://aclanthology.org/2021.mtsummit-research.18/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
84. [Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots](https://aclanthology.org/2021.findings-emnlp.347/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
85. [Attention Calibration for Transformer in Neural Machine Translation](https://aclanthology.org/2021.acl-long.103/) *— 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)*
86. [Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG](https://aclanthology.org/2021.inlg-1.45/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
87. [Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021](https://aclanthology.org/2021.mtsummit-loresmt.14/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
88. [Atypical or Underrepresented? A Pilot Study on Small Treebanks](https://aclanthology.org/2021.clicit-1.6/) *— 2021 · Proceedings of the Eighth Italian Conference on Computational Linguistics (CLiC-it 2021)*
89. [AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models](https://aclanthology.org/2021.nlp4convai-1.19/) *— 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI*
90. [AugVic: Exploiting BiText Vicinity for Low-Resource NMT](https://aclanthology.org/2021.findings-acl.267/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
91. [Auto-encodeurs variationnels : contrecarrer le problème de posterior collapse grâce à la régularisation du décodeur (Variational auto-encoders : prevent posterior collapse via decoder regularization)](https://aclanthology.org/2021.jeptalnrecital-taln.1/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
92. [AutoChart: A Dataset for Chart-to-Text Generation Task](https://aclanthology.org/2021.ranlp-1.183/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
93. [Autocorrect in the Process of Translation –- Multi-task Learning Improves Dialogue Machine Translation](https://aclanthology.org/2021.naacl-industry.14/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers*
94. [Automated Generation of Accurate & Fluent Medical X-ray Reports](https://aclanthology.org/2021.emnlp-main.288/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
95. [Automatic Bilingual Markup Transfer](https://aclanthology.org/2021.findings-emnlp.299/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
96. [Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity](https://aclanthology.org/2021.motra-1.10/) *— 2021 · Proceedings for the First Workshop on Modelling Translation: Translatology in the Digital Age*
97. [Automatic Post-Editing for Vietnamese](https://aclanthology.org/2021.alta-1.18/) *— 2021 · Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association*
98. [Automatic Rephrasing of Transcripts-based Action Items](https://aclanthology.org/2021.findings-acl.253/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
99. [Automatic Text Evaluation through the Lens of Wasserstein Barycenters](https://aclanthology.org/2021.emnlp-main.817/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
100. [Automatic Text Simplification for Social Good: Progress and Challenges](https://aclanthology.org/2021.findings-acl.233/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*

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