---
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/15/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/15/)

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# Who cites «A Call for Clarity in Reporting BLEU Scores» · page 15

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/) · … · [14](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/14/) · **15** · [16](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/16/) · … · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)

1. [Linguistically-Motivated Yorùbá-English Machine Translation](https://aclanthology.org/2022.coling-1.449/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
2. [Low Resource Chat Translation: A Benchmark for Hindi–English Language Pair](https://aclanthology.org/2022.amta-research.7/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
3. [Low-Resource Neural Machine Translation: A Case Study of Cantonese](https://aclanthology.org/2022.vardial-1.4/) *— 2022 · Proceedings of the Ninth Workshop on NLP for Similar Languages, Varieties and Dialects*
4. [Low-resource Neural Machine Translation with Cross-modal Alignment](https://aclanthology.org/2022.emnlp-main.689/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
5. [Low-resource Neural Machine Translation: Benchmarking State-of-the-art Transformer for Wolof\ensuremath\<-\ensuremath>French](https://aclanthology.org/2022.lrec-1.717/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
6. [MS-COMET: More and Better Human Judgements Improve Metric Performance](https://aclanthology.org/2022.wmt-1.47/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
7. [MSCTD: A Multimodal Sentiment Chat Translation Dataset](https://aclanthology.org/2022.acl-long.186/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators](https://aclanthology.org/2022.acl-long.424/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [MUNI-NLP Systems for Lower Sorbian-German and Lower Sorbian-Upper Sorbian Machine Translation @ WMT22](https://aclanthology.org/2022.wmt-1.109/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
10. [Machine Translation Between High-resource Languages in a Language Documentation Setting](https://aclanthology.org/2022.fieldmatters-1.3/) *— 2022 · Proceedings of the First Workshop on NLP applications to field linguistics*
11. [Machine Translation Robustness to Natural Asemantic Variation](https://aclanthology.org/2022.emnlp-main.230/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
12. [Machine Translation for Livonian: Catering to 20 Speakers](https://aclanthology.org/2022.acl-short.55/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
13. [Machine Translation from Standard German to Alemannic Dialects](https://aclanthology.org/2022.sigul-1.17/) *— 2022 · Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages*
14. [Machine translation impact in E-commerce multilingual search](https://aclanthology.org/2022.emnlp-industry.8/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track*
15. [Massive-scale Decoding for Text Generation using Lattices](https://aclanthology.org/2022.naacl-main.344/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
16. [Multi-Domain Adaptation in Neural Machine Translation with Dynamic Sampling Strategies](https://aclanthology.org/2022.eamt-1.4/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
17. [Multilingual Abstract Meaning Representation for Celtic Languages](https://aclanthology.org/2022.cltw-1.1/) *— 2022 · Proceedings of the 4th Celtic Language Technology Workshop within LREC2022*
18. [Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents](https://aclanthology.org/2022.acl-long.287/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Multilingual Machine Translation with Hyper-Adapters](https://aclanthology.org/2022.emnlp-main.77/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
20. [Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation](https://aclanthology.org/2022.acl-long.282/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [Multilingual Social Media Text Generation and Evaluation with Few-Shot Prompting](https://aclanthology.org/2022.gem-1.39/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
22. [Multimodal Robustness for Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.582/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
23. [NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation](https://aclanthology.org/2022.coling-1.306/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
24. [NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures](https://aclanthology.org/2022.findings-emnlp.15/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
25. [NTREX-128 – News Test References for MT Evaluation of 128 Languages](https://aclanthology.org/2022.sumeval-1.4/) *— 2022 · Proceedings of the First Workshop on Scaling Up Multilingual Evaluation*
26. [Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets](https://aclanthology.org/2022.emnlp-main.135/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
27. [Nearest Neighbor Knowledge Distillation for Neural Machine Translation](https://aclanthology.org/2022.naacl-main.406/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
28. [Neural Machine Translation with Phrase-Level Universal Visual Representations](https://aclanthology.org/2022.acl-long.390/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) *— 2022 · arXiv:2207.04672*
30. [Non-Autoregressive Machine Translation: It”s Not as Fast as it Seems](https://aclanthology.org/2022.naacl-main.129/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
31. [Non-Autoregressive Neural Machine Translation with Consistency Regularization Optimized Variational Framework](https://aclanthology.org/2022.naacl-main.45/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
32. [Non-Autoregressive Neural Machine Translation: A Call for Clarity](https://aclanthology.org/2022.emnlp-main.179/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
33. [Norm-based Noisy Corpora Filtering and Refurbishing in Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.363/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
34. [On Decoding Strategies for Neural Text Generators](https://aclanthology.org/2022.tacl-1.58/) *— 2022 · Transactions of the Association for Computational Linguistics*
35. [On Synthetic Data for Back Translation](https://aclanthology.org/2022.naacl-main.32/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
36. [On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation](https://aclanthology.org/2022.naacl-main.161/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
37. [On Target Representation in Continuous-output Neural Machine Translation](https://aclanthology.org/2022.repl4nlp-1.24/) *— 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP*
38. [On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation](https://aclanthology.org/2022.coling-1.445/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
39. [On the Dynamics of Gender Learning in Speech Translation](https://aclanthology.org/2022.gebnlp-1.12/) *— 2022 · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)*
40. [On the Effectiveness of Automated Metrics for Text Generation Systems](https://aclanthology.org/2022.findings-emnlp.108/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
41. [On the Effectiveness of Quasi Character-Level Models for Machine Translation](https://aclanthology.org/2022.amta-research.10/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
42. [On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing](https://aclanthology.org/2022.insights-1.12/) *— 2022 · Proceedings of the Third Workshop on Insights from Negative Results in NLP*
43. [On the Interaction of Regularization Factors in Low-resource Neural Machine Translation](https://aclanthology.org/2022.eamt-1.14/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
44. [On the Limitations of Reference-Free Evaluations of Generated Text](https://aclanthology.org/2022.emnlp-main.753/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
45. [Open-domain Video Commentary Generation](https://aclanthology.org/2022.emnlp-main.495/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
46. [Over-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translation](https://aclanthology.org/2022.autosimtrans-1.2/) *— 2022 · Proceedings of the Third Workshop on Automatic Simultaneous Translation*
47. [Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation](https://aclanthology.org/2022.acl-long.143/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
48. [Overview of the 9th Workshop on Asian Translation](https://aclanthology.org/2022.wat-1.1/) *— 2022 · Proceedings of the 9th Workshop on Asian Translation*
49. [PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining](https://aclanthology.org/2022.naacl-main.58/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
50. [ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation](https://aclanthology.org/2022.coling-1.341/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
51. [Paraphrasing via Ranking Many Candidates](https://aclanthology.org/2022.inlg-main.6/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
52. [Part Represents Whole: Improving the Evaluation of Machine Translation System Using Entropy Enhanced Metrics](https://aclanthology.org/2022.findings-aacl.28/) *— 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022*
53. [Picard understanding Darmok: A Dataset and Model for Metaphor-Rich Translation in a Constructed Language](https://aclanthology.org/2022.flp-1.5/) *— 2022 · Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)*
54. [Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation?](https://aclanthology.org/2022.findings-acl.6/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
55. [Predicting Attention Sparsity in Transformers](https://aclanthology.org/2022.spnlp-1.7/) *— 2022 · Proceedings of the Sixth Workshop on Structured Prediction for NLP*
56. [Prediction Difference Regularization against Perturbation for Neural Machine Translation](https://aclanthology.org/2022.acl-long.528/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [Prefix Embeddings for In-context Machine Translation](https://aclanthology.org/2022.amta-research.4/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
58. [Preparing an endangered language for the digital age: The Case of Judeo-Spanish](https://aclanthology.org/2022.eurali-1.18/) *— 2022 · Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia within the 13th Language Resources and Evaluation Conference*
59. [Pretrained Models for Multilingual Federated Learning](https://aclanthology.org/2022.naacl-main.101/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
60. [Probing Multilingual Cognate Prediction Models](https://aclanthology.org/2022.findings-acl.299/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
61. [Prompt-Driven Neural Machine Translation](https://aclanthology.org/2022.findings-acl.203/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
62. [Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models](https://aclanthology.org/2022.emnlp-main.141/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
63. [Proto-Gen: An end-to-end neural generator for persona and knowledge grounded response generation](https://aclanthology.org/2022.ccgpk-1.2/) *— 2022 · Proceedings of the 1st Workshop on Customized Chat Grounding Persona and Knowledge*
64. [Quality versus Quantity: Building Catalan-English MT Resources](https://aclanthology.org/2022.sigul-1.8/) *— 2022 · Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages*
65. [Quality-Aware Decoding for Neural Machine Translation](https://aclanthology.org/2022.naacl-main.100/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
66. [Quantified Reproducibility Assessment of NLP Results](https://aclanthology.org/2022.acl-long.2/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
67. [Question Generation and Answering for exploring Digital Humanities collections](https://aclanthology.org/2022.lrec-1.486/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
68. [R2D2: Robust Data-to-Text with Replacement Detection](https://aclanthology.org/2022.emnlp-main.464/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
69. [R3 : Refined Retriever-Reader pipeline for Multidoc2dial](https://aclanthology.org/2022.dialdoc-1.17/) *— 2022 · Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering*
70. [RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://aclanthology.org/2022.emnlp-main.222/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
71. [Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation](https://aclanthology.org/2022.acl-long.172/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
72. [Reducing Disambiguation Biases in NMT by Leveraging Explicit Word Sense Information](https://aclanthology.org/2022.naacl-main.355/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
73. [Reinforcement Learning with Large Action Spaces for Neural Machine Translation](https://aclanthology.org/2022.coling-1.401/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
74. [Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text](https://arxiv.org/abs/2202.06935) *— 2022 · arXiv:2202.06935*
75. [Reproducibility Issues for BERT-based Evaluation Metrics](https://aclanthology.org/2022.emnlp-main.192/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
76. [Reproducing a Manual Evaluation of the Simplicity of Text Simplification System Outputs](https://aclanthology.org/2022.inlg-genchal.12/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation: Generation Challenges*
77. [Residual Learning of Neural Text Generation with n-gram Language Model](https://aclanthology.org/2022.findings-emnlp.109/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
78. [Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust](https://md.research.elamur.ai/free/en/papers/freitag-2022-results-wmt22-metrics-shared-task/) *— our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
79. [Revisit Systematic Generalization via Meaningful Learning](https://aclanthology.org/2022.blackboxnlp-1.6/) *— 2022 · Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
80. [Revisiting Locality Sensitive Hashing for Vocabulary Selection in Fast Neural Machine Translation](https://aclanthology.org/2022.wmt-1.79/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
81. [Revisiting Syllables in Language Modelling and Their Application on Low-Resource Machine Translation](https://aclanthology.org/2022.coling-1.374/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
82. [SALTED: A Framework for SAlient Long-tail Translation Error Detection](https://aclanthology.org/2022.findings-emnlp.379/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
83. [SPORTSINTERVIEW: A Large-Scale Sports Interview Benchmark for Entity-centric Dialogues](https://aclanthology.org/2022.lrec-1.626/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
84. [STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation](https://aclanthology.org/2022.acl-long.486/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities](https://aclanthology.org/2022.acl-long.580/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation](https://aclanthology.org/2022.acl-short.27/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
87. [Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.754/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
88. [Scheduled Multi-task Learning for Neural Chat Translation](https://aclanthology.org/2022.acl-long.300/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations](https://aclanthology.org/2022.acl-long.372/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language Model](https://aclanthology.org/2022.coling-1.457/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
91. [Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages](https://aclanthology.org/2022.wmt-1.98/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
92. [SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering](https://aclanthology.org/2022.emnlp-main.378/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
93. [Similarity Based Label Smoothing For Dialogue Generation](https://aclanthology.org/2022.icon-main.31/) *— 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)*
94. [Simple TICO-19: A Dataset for Joint Translation and Simplification of COVID-19 Texts](https://aclanthology.org/2022.lrec-1.331/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
95. [Spatio-temporal Sign Language Representation and Translation](https://aclanthology.org/2022.wmt-1.94/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
96. [Specializing Multi-domain NMT via Penalizing Low Mutual Information](https://aclanthology.org/2022.emnlp-main.680/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
97. [Speech Resources in the Tamasheq Language](https://aclanthology.org/2022.lrec-1.222/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
98. [Speeding Up Entmax](https://aclanthology.org/2022.findings-naacl.86/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
99. [Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation](https://aclanthology.org/2022.amta-research.3/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
100. [Sub-Word Alignment is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation](https://aclanthology.org/2022.acl-short.68/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*

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