--- title: "Who cites Scalable Inference and Training of Context-Rich…" description: "224 papers of the Elamur Research library cite «Scalable Inference and Training of Context-Rich Syntactic Translation Models», found in their…" canonical: "https://research.elamur.ai/free/en/papers/galley-2006-scalable-inference-training-context-rich/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/galley-2006-scalable-inference-training-context-rich/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Scalable Inference and Training of Context-Rich…](https://md.research.elamur.ai/free/en/papers/galley-2006-scalable-inference-training-context-rich/) / cited by # Who cites «Scalable Inference and Training of Context-Rich Syntactic Translation Models» 224 papers of our library cite it (of the 140,884 whose bibliographies we read) · 20 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/galley-2006-scalable-inference-training-context-rich/) 1. [**Factored Translation Models**Philipp Koehn, Hieu Hoang*2007 · 699 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2007-factored-translation-models/) 2. [**What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA**Mengqiu Wang, Noah A. Smith, Teruko Mitamura*2007 · 503 citations*](https://md.research.elamur.ai/free/en/papers/wang-2007-what-is-jeopardy-model-quasi/) 3. [**Does String-Based Neural MT Learn Source Syntax?**Xing Shi, Inkit Padhi, Kevin Knight*2016 · 492 citations*](https://md.research.elamur.ai/free/en/papers/shi-2016-does-string-based-neural-mt/) 4. [**Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus**Yuk Wah Wong, Raymond Mooney*2007 · 464 citations*](https://md.research.elamur.ai/free/en/papers/wong-2007-learning-synchronous-grammars-semantic-parsing/) 5. [**Forest Rescoring: Faster Decoding with Integrated Language Models**Liang Huang, David Chiang*2007 · 452 citations*](https://md.research.elamur.ai/free/en/papers/huang-2007-forest-rescoring-faster-decoding-integrated/) 6. [**Learning Bilingual Lexicons from Monolingual Corpora**Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, et al.*2008 · 426 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2008-learning-bilingual-lexicons-monolingual-corpora/) 7. [**Forest-Based Translation**Haitao Mi, Liang Huang, Qun Liu*2008 · 252 citations*](https://md.research.elamur.ai/free/en/papers/mi-2008-forest-based-translation/) 8. [**Towards String-To-Tree Neural Machine Translation**Roee Aharoni, Yoav Goldberg*2017 · 220 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2017-string-tree-neural-machine-translation/) 9. [**On the Impact of Various Types of Noise on Neural Machine Translation**Huda Khayrallah, Philipp Koehn*2018 · 188 citations*](https://md.research.elamur.ai/free/en/papers/khayrallah-2018-impact-various-types-noise-neural/) 10. [**Soft Syntactic Constraints for Hierarchical Phrased-Based Translation**Yuval Marton, Philip Resnik*2008 · 183 citations*](https://md.research.elamur.ai/free/en/papers/marton-2008-soft-syntactic-constraints-hierarchical-phrased/) 11. [**Semantics-Based Machine Translation with Hyperedge Replacement Grammars**Bevan Jones, Jacob Andreas, Daniel Bauer, et al.*2012 · 180 citations*](https://md.research.elamur.ai/free/en/papers/jones-2012-semantics-based-machine-translation-hyperedge/) 12. [**Forest-based Translation Rule Extraction**Haitao Mi, Liang Huang*2008 · 178 citations*](https://md.research.elamur.ai/free/en/papers/mi-2008-forest-based-translation-rule-extraction/) 13. [**Learning to Translate with Source and Target Syntax**David Chiang*2010 · 173 citations*](https://md.research.elamur.ai/free/en/papers/chiang-2010-learning-translate-source-target-syntax/) 14. [**Joshua: An Open Source Toolkit for Parsing-Based Machine Translation**Zhifei Li, Chris Callison-Burch, Chris Dyer, et al.*2009 · 163 citations*](https://md.research.elamur.ai/free/en/papers/li-2009-joshua-open-source-toolkit-parsing/) 15. [**Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation**Michael Pust, Ulf Hermjakob, Kevin Knight, et al.*2015 · 109 citations*](https://md.research.elamur.ai/free/en/papers/pust-2015-parsing-english-into-abstract-meaning/) 16. [**Translation Divergences in Chinese–English Machine Translation: An Empirical Investigation**Dun Deng, Nianwen Xue*2017 · 55 citations*](https://md.research.elamur.ai/free/en/papers/deng-2017-translation-divergences-chinese-english-machine/) 17. [**Feature-Rich Translation by Quasi-Synchronous Lattice Parsing**Kevin Gimpel, Noah A. Smith*2009 · 30 citations*](https://md.research.elamur.ai/free/en/papers/gimpel-2009-feature-rich-translation-quasi-synchronous/) 18. [**Capturing Translational Divergences with a Statistical Tree-to-Tree Aligner**Mary Hearne, John Tinsley, Ventsislav Zhechev, et al.*2007 · 26 citations*](https://md.research.elamur.ai/free/en/papers/hearne-2007-capturing-translational-divergences-statistical-tree/) 19. [**Effective Use of Function Words for Rule Generalization in Forest-Based Translation**Xianchao Wu, Takuya Matsuzaki, Jun'ichi Tsujii*2011 · 13 citations*](https://md.research.elamur.ai/free/en/papers/wu-2011-effective-use-function-words-rule/) 20. [**Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation**Wenbin Jiang, Wen Zhang, Jinan Xu, et al.*2016 · 1 citation*](https://md.research.elamur.ai/free/en/papers/jiang-2016-automatic-cross-lingual-similarization-dependency/) 204 more papers of our library cite it; they have no page here yet.