---
title: "Who cites chrF++: words helping character n-grams — page 4"
description: "The papers of the Elamur Research library that cite «chrF++: words helping character n-grams», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/popovic-2017-chrf-words-helping-character-n/cited-by/page/4/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/popovic-2017-chrf-words-helping-character-n/cited-by/page/4/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [chrF++: words helping character n-grams](https://md.research.elamur.ai/free/en/papers/popovic-2017-chrf-words-helping-character-n/) / cited by

# Who cites «chrF++: words helping character n-grams» · page 4

470 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/popovic-2017-chrf-words-helping-character-n/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/popovic-2017-chrf-words-helping-character-n/cited-by/) · [2](https://md.research.elamur.ai/free/en/papers/popovic-2017-chrf-words-helping-character-n/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/popovic-2017-chrf-words-helping-character-n/cited-by/page/3/) · **4** · [5](https://md.research.elamur.ai/free/en/papers/popovic-2017-chrf-words-helping-character-n/cited-by/page/5/)

1. [Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets](https://aclanthology.org/2024.findings-emnlp.25/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
2. [Wav2Gloss: Generating Interlinear Glossed Text from Speech](https://aclanthology.org/2024.acl-long.34/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [“According to . . . “: Prompting Language Models Improves Quoting from Pre-Training Data](https://aclanthology.org/2024.eacl-long.140/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [chrF-S: Semantics Is All You Need](https://aclanthology.org/2024.wmt-1.33/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
5. [A Baseline System for Khasi and Assamese Bidirectional NMT with Zero available Parallel Data: Dataset Creation and System Development](https://aclanthology.org/2023.icon-1.69/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
6. [A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography](https://arxiv.org/abs/2311.16865) *— 2023 · arXiv:2311.16865*
7. [ACES: Translation Accuracy Challenge Sets at WMT 2023](https://aclanthology.org/2023.wmt-1.57/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
8. [AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets](https://aclanthology.org/2023.findings-acl.670/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
9. [Adapting Machine Translation Education to the Neural Era: A Case Study of MT Quality Assessment](https://aclanthology.org/2023.eamt-1.30/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
10. [An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models](https://aclanthology.org/2023.eamt-1.11/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
11. [Augmented Language Models: a Survey](https://arxiv.org/abs/2302.07842) *— 2023 · arXiv:2302.07842*
12. [BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models](https://arxiv.org/abs/2309.06085) *— 2023 · arXiv:2309.06085*
13. [BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric](https://aclanthology.org/2023.acl-long.504/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation](https://arxiv.org/abs/2305.15011) *— 2023 · arXiv:2305.15011*
15. [Beyond Candidates : Adaptive Dialogue Agent Utilizing Persona and Knowledge](https://aclanthology.org/2023.findings-emnlp.534/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
16. [Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation](https://aclanthology.org/2023.emnlp-main.605/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
17. [Bubble up – A Fine-tuning Approach for Style Transfer to Community-specific Subreddit Language](https://aclanthology.org/2023.cpss-1.5/) *— 2023 · Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences*
18. [CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation](https://aclanthology.org/2023.findings-emnlp.519/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
19. [ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages](https://aclanthology.org/2023.wmt-1.40/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
20. [ChatGPT is not a good indigenous translator](https://aclanthology.org/2023.americasnlp-1.17/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
21. [Code-Switching with Word Senses for Pretraining in Neural Machine Translation](https://aclanthology.org/2023.findings-emnlp.859/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
22. [Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study](https://aclanthology.org/2023.findings-emnlp.11/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
23. [DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models](https://aclanthology.org/2023.emnlp-main.279/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
24. [Developing State-Of-The-Art Massively Multilingual Machine Translation Systems for Related Languages](https://aclanthology.org/2023.ijcnlp-tutorials.6/) *— 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: Tutorial Abstract*
25. [Domain Terminology Integration into Machine Translation: Leveraging Large Language Models](https://aclanthology.org/2023.wmt-1.82/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
26. [Effects of sub-word segmentation on performance of transformer language models](https://aclanthology.org/2023.emnlp-main.459/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
27. [Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages](https://aclanthology.org/2023.eacl-main.111/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
28. [End-to-End Simultaneous Speech Translation with Differentiable Segmentation](https://aclanthology.org/2023.findings-acl.485/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
29. [Enhancing Spanish-Quechua Machine Translation with Pre-Trained Models and Diverse Data Sources: LCT-EHU at AmericasNLP Shared Task](https://aclanthology.org/2023.americasnlp-1.16/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
30. [Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models](https://aclanthology.org/2023.americasnlp-1.22/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
31. [Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory](https://aclanthology.org/2023.emnlp-main.676/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
32. [Evaluating Generative Models for Graph-to-Text Generation](https://aclanthology.org/2023.ranlp-1.133/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
33. [Evaluating Morphological Generalisation in Machine Translation by Distribution-Based Compositionality Assessment](https://aclanthology.org/2023.nodalida-1.75/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
34. [Exploring Enhanced Code-Switched Noising for Pretraining in Neural Machine Translation](https://aclanthology.org/2023.findings-eacl.72/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
35. [Extrinsic Evaluation of Machine Translation Metrics](https://aclanthology.org/2023.acl-long.730/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [Findings of the 1st Shared Task on Multi-lingual Multi-task Information Retrieval at MRL 2023](https://aclanthology.org/2023.mrl-1.24/) *— 2023 · Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL)*
37. [Findings of the CoCo4MT 2023 Shared Task on Corpus Construction for Machine Translation](https://aclanthology.org/2023.mtsummit-coco4mt.3/) *— 2023 · Proceedings of the Second Workshop on Corpus Generation and Corpus Augmentation for Machine Translation*
38. [Generating Irish Text with a Flexible Plug-and-Play Architecture](https://aclanthology.org/2023.pandl-1.4/) *— 2023 · Proceedings of the 2nd Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning*
39. [HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation](https://aclanthology.org/2023.emnlp-main.42/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
40. [IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages](https://aclanthology.org/2023.acl-long.795/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages](https://arxiv.org/abs/2305.16307) *— 2023 · arXiv:2305.16307*
42. [Interpreting Positional Information in Perspective of Word Order](https://aclanthology.org/2023.acl-long.534/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentation](https://aclanthology.org/2023.loresmt-1.7/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*
44. [Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters](https://aclanthology.org/2023.eacl-main.51/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
45. [Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine](https://arxiv.org/abs/2301.08745) *— 2023 · arXiv:2301.08745*
46. [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*
47. [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*
48. [MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages](https://arxiv.org/abs/2310.09765) *— 2023 · arXiv:2310.09765*
49. [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*
50. [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*
51. [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)*
52. [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)*
53. [Machine Translation for Nko: Tools, Corpora, and Baseline Results](https://aclanthology.org/2023.wmt-1.34/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
54. [Multi-way Variational NMT for UGC: Improving Robustness in Zero-shot Scenarios via Mixture Density Networks](https://aclanthology.org/2023.nodalida-1.45/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
55. [NICT-AI4B's Submission to the Indic MT Shared Task in WMT 2023](https://aclanthology.org/2023.wmt-1.88/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
56. [Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction](https://aclanthology.org/2023.americasnlp-1.13/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
57. [On using distribution-based compositionality assessment to evaluate compositional generalisation in machine translation](https://aclanthology.org/2023.genbench-1.17/) *— 2023 · Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP*
58. [PlayGround Low Resource Machine Translation System for the 2023 AmericasNLP Shared Task](https://aclanthology.org/2023.americasnlp-1.19/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
59. [SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations](https://aclanthology.org/2023.findings-emnlp.574/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
60. [Semantically Informed Data Augmentation for Unscoped Episodic Logical Forms](https://aclanthology.org/2023.iwcs-1.14/) *— 2023 · Proceedings of the 15th International Conference on Computational Semantics*
61. [Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text](https://aclanthology.org/2023.gem-1.27/) *— 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
62. [Speech Translation with Foundation Models and Optimal Transport: UPC at IWSLT23](https://aclanthology.org/2023.iwslt-1.38/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
63. [TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes](https://arxiv.org/abs/2311.10797) *— 2023 · arXiv:2311.10797*
64. [The 2023 WebNLG Shared Task on Low Resource Languages. Overview and Evaluation Results (WebNLG 2023)](https://aclanthology.org/2023.mmnlg-1.6/) *— 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)*
65. [The AST Submission for the CoCo4MT 2023 Shared Task on Corpus Construction for Low-Resource Machine Translation](https://aclanthology.org/2023.mtsummit-coco4mt.5/) *— 2023 · Proceedings of the Second Workshop on Corpus Generation and Corpus Augmentation for Machine Translation*
66. [The Glass Ceiling of Automatic Evaluation in Natural Language Generation](https://aclanthology.org/2023.findings-ijcnlp.16/) *— 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)*
67. [The OPUS-MT Dashboard – A Toolkit for a Systematic Evaluation of Open Machine Translation Models](https://aclanthology.org/2023.acl-demo.30/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
68. [Towards Effective Disambiguation for Machine Translation with Large Language Models](https://aclanthology.org/2023.wmt-1.44/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
69. [Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance](https://aclanthology.org/2023.emnlp-main.836/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
70. [Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level](https://aclanthology.org/2023.wmt-1.96/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
71. [Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs](https://aclanthology.org/2023.mmnlg-1.5/) *— 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)*
72. [Why Bother with Geometry? On the Relevance of Linear Decompositions of Transformer Embeddings](https://aclanthology.org/2023.blackboxnlp-1.10/) *— 2023 · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
73. [XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages](https://aclanthology.org/2023.inlg-main.2/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
74. [A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations](https://aclanthology.org/2022.findings-naacl.37/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
75. [ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics](https://md.research.elamur.ai/free/en/papers/amrhein-2022-aces-translation-accuracy-challenge-sets/) *— our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
76. [BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning](https://aclanthology.org/2022.coling-1.485/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
77. [Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand](https://aclanthology.org/2022.naacl-main.259/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
78. [Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation](https://aclanthology.org/2022.wat-1.2/) *— 2022 · Proceedings of the 9th Workshop on Asian Translation*
79. [Content Type Profiling of Data-to-Text Generation Datasets](https://aclanthology.org/2022.coling-1.507/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
80. [Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation](https://aclanthology.org/2022.eamt-1.15/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
81. [Cross-modal Contrastive Learning for Speech Translation](https://aclanthology.org/2022.naacl-main.376/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
82. [DEMETR: Diagnosing Evaluation Metrics for Translation](https://aclanthology.org/2022.emnlp-main.649/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
83. [Domain-Specific Text Generation for Machine Translation](https://aclanthology.org/2022.amta-research.2/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
84. [Enhancing the Transformer Decoder with Transition-based Syntax](https://aclanthology.org/2022.conll-1.27/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
85. [Every picture tells a story: Image-grounded controllable stylistic story generation](https://aclanthology.org/2022.latechclfl-1.6/) *— 2022 · Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature*
86. [Exploring a POS-based Two-stage Approach for Improving Low-Resource AMR-to-Text Generation](https://aclanthology.org/2022.gem-1.49/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
87. [Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages](https://aclanthology.org/2022.wmt-1.72/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
88. [Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation](https://aclanthology.org/2022.acl-long.121/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [Generative Pretraining for Paraphrase Evaluation](https://aclanthology.org/2022.acl-long.280/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [Graph Pre-training for AMR Parsing and Generation](https://aclanthology.org/2022.acl-long.415/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
91. [How to Find Strong Summary Coherence Measures? A Toolbox and a Comparative Study for Summary Coherence Measure Evaluation](https://aclanthology.org/2022.coling-1.527/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
92. [Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET](https://aclanthology.org/2022.aacl-main.83/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
93. [Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics](https://aclanthology.org/2022.findings-acl.14/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
94. [Jojajovai: A Parallel Guarani-Spanish Corpus for MT Benchmarking](https://aclanthology.org/2022.lrec-1.226/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
95. [Learning an Artificial Language for Knowledge-Sharing in Multilingual Translation](https://aclanthology.org/2022.wmt-1.12/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
96. [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*
97. [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*
98. [No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) *— 2022 · arXiv:2207.04672*
99. [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*
100. [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*

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