Nematus: a Toolkit for Neural Machine Translation

1. 2022Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMETcited by 41
2. 2024Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Modelcited by 33
3. 2018Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedbackcited by 32
4. 2021Many-to-English Machine Translation Tools, Data, and Pretrained Modelscited by 31
5. 2021On the Evaluation of Commit Message Generation Models: An Experimental Studycited by 20
6. 2021Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsingcited by 15
7. 2023Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learningcited by 8
8. 2021How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?cited by 7
9. 2021Semantics-aware Attention Improves Neural Machine Translationcited by 5
10. 2018Counterfactual Learning from Human Proofreading Feedback for Semantic Parsingcited by 4
11. 2023Citance-Contextualized Summarization of Scientific Paperscited by 4
12. 2023Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequencescited by 3

1. 2025Lemmatization as a Classification Task: Results from Arabic across Multiple Genres23 Jun 2025
2. 2024Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model23 Jan 2024
3. 2023Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning12 Dec 2023
4. 2023Citance-Contextualized Summarization of Scientific Papers4 Nov 2023
5. 2023Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences16 May 2023
6. 2022Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies25 Mar 2022
7. 2022Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET10 Feb 2022
8. 2021Semantics-aware Attention Improves Neural Machine Translation13 Oct 2021
9. 2021How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?2 Sep 2021
10. 2021On the Evaluation of Commit Message Generation Models: An Experimental Study12 Jul 2021
11. 2021Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing8 Jun 2021
12. 2021Many-to-English Machine Translation Tools, Data, and Pretrained Models1 Apr 2021

1. 2024Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Modelcited by 33
2. 2018Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedbackcited by 32
3. 2018Counterfactual Learning from Human Proofreading Feedback for Semantic Parsingcited by 4

1. 2024Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model23 Jan 2024
2. 2018Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing29 Nov 2018
3. 2018Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback3 May 2018

1. 2022Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMETcited by 41
2. 2021Many-to-English Machine Translation Tools, Data, and Pretrained Modelscited by 31
3. 2021On the Evaluation of Commit Message Generation Models: An Experimental Studycited by 20
4. 2021Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsingcited by 15
5. 2023Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learningcited by 8
6. 2021How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?cited by 7
7. 2021Semantics-aware Attention Improves Neural Machine Translationcited by 5
8. 2023Citance-Contextualized Summarization of Scientific Paperscited by 4
9. 2023Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequencescited by 3
10. 2021Enhancing the Transformer Decoder with Transition-based Syntaxcited by 1
11. 2021Exploring Supervised and Unsupervised Rewards in Machine Translationcited by 1
12. 2022Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategiescited by 1

12 most cited of 13 · All 13 (JSON)

1. 2025Lemmatization as a Classification Task: Results from Arabic across Multiple Genres23 Jun 2025
2. 2023Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning12 Dec 2023
3. 2023Citance-Contextualized Summarization of Scientific Papers4 Nov 2023
4. 2023Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences16 May 2023
5. 2022Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies25 Mar 2022
6. 2022Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET10 Feb 2022
7. 2021Semantics-aware Attention Improves Neural Machine Translation13 Oct 2021
8. 2021How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?2 Sep 2021
9. 2021On the Evaluation of Commit Message Generation Models: An Experimental Study12 Jul 2021
10. 2021Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing8 Jun 2021
11. 2021Many-to-English Machine Translation Tools, Data, and Pretrained Models1 Apr 2021
12. 2021Exploring Supervised and Unsupervised Rewards in Machine Translation22 Feb 2021

12 newest of 13 · All 13 (JSON)