--- title: "Who cites Minimum Risk Annealing for — 81 citing papers" description: "81 papers of the Elamur Research library cite «Minimum Risk Annealing for Training Log-Linear Models», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/smith-2006-minimum-risk-annealing-training-log/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/smith-2006-minimum-risk-annealing-training-log/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Minimum Risk Annealing for Training Log-Linear…](https://md.research.elamur.ai/free/en/papers/smith-2006-minimum-risk-annealing-training-log/) / cited by # Who cites «Minimum Risk Annealing for Training Log-Linear Models» 81 papers of our library cite it (of the 141,840 whose bibliographies we read) · 13 with a page here, the most cited first · [← back to «Minimum Risk Annealing for Training Log-Linear Models»](https://md.research.elamur.ai/free/en/papers/smith-2006-minimum-risk-annealing-training-log/) 1. **[Minimum Risk Training for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/shen-2015-minimum-risk-training-neural-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shiqi Shen, Yong Cheng, Zhongjun He, et al.*2015 · 576 citations* 2. **[Batch Tuning Strategies for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/cherry-2012-batch-tuning-strategies-statistical-machine/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Colin Cherry, George Foster*2012 · 549 citations* 3. **[Lattice-based Minimum Error Rate Training for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/macherey-2008-lattice-based-minimum-error-rate/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wolfgang Macherey, Franz Och, Ignacio Thayer, et al.*2008 · 410 citations* 4. **[Classical Structured Prediction Losses for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sergey Edunov, Myle Ott, Michael Auli, et al.*2018 · 235 citations* 5. **[From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood](https://md.research.elamur.ai/free/en/papers/guu-2017-language-programs-bridging-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kelvin Guu, Panupong Pasupat, Evan Liu, et al.*2017 · 230 citations* 6. **[Beyond BLEU: Training Neural Machine Translation with Semantic Similarity](https://md.research.elamur.ai/free/en/papers/wieting-2019-beyond-bleu-training-neural-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, et al.*2019 · 221 citations* 7. **[Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/tromble-2008-lattice-minimum-bayes-risk-decoding/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Roy Tromble, Shankar Kumar, Franz Och, et al.*2008 · 206 citations* 8. **[First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests](https://md.research.elamur.ai/free/en/papers/li-2009-first-second-order-expectation-semirings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhifei Li, Jason Eisner*2009 · 194 citations* 9. **[Joshua: An Open Source Toolkit for Parsing-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/li-2009-joshua-open-source-toolkit-parsing/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Zhifei Li, Chris Callison-Burch, Chris Dyer, et al.*2009 · 163 citations* 10. **[Quality-Aware Decoding for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Patrick Fernandes, António Farinhas, Ricardo Rei, et al.*2022 · 143 citations* 11. **[Posterior calibration and exploratory analysis for natural language processing models](https://md.research.elamur.ai/free/en/papers/nguyen-2015-posterior-calibration-exploratory-analysis-natural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Khanh Nguyen, Brendan O'Connor*2015 · 139 citations* 12. **[High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics](https://md.research.elamur.ai/free/en/papers/freitag-2022-high-quality-rather-than-high/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Markus Freitag, David Grangier, Qijun Tan, et al.*2022 · 120 citations* 13. **[LENS: A Learnable Evaluation Metric for Text Simplification](https://md.research.elamur.ai/free/en/papers/maddela-2023-lens-learnable-evaluation-metric-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mounica Maddela, Yao Dou, David Heineman, et al.*2023 · 103 citations* 68 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/smith-2006-minimum-risk-annealing-training-log/) — Minimum Risk Annealing for Training Log-Linear Models