🧑‍🔬 Who cites Ashish Venugopal

290 citations of their works from 250 papers of our library (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← Ashish Venugopal

1. Manual and Automatic Evaluation of Machine Translation between European LanguagesConference on Machine Translation (WMT)Philipp Koehn, Christof Monz2006 · 435 citations
2. Lattice-based Minimum Error Rate Training for Statistical Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Wolfgang Macherey, Franz Och, Ignacio Thayer, et al.2008 · 411 citations
3. ParaCrawl: Web-Scale Acquisition of Parallel CorporaAnnual Meeting of the Association for Computational Linguistics (ACL)Marta Bañón, Pinzhen Chen, Barry Haddow, et al.2020 · 312 citations
4. Lattice Minimum Bayes-Risk Decoding for Statistical Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Roy Tromble, Shankar Kumar, Franz Och, et al.2008 · 208 citations
5. Graph Convolutional Encoders for Syntax-aware Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.2017 · 194 citations
6. On the Impact of Various Types of Noise on Neural Machine TranslationWorkshop on Neural Machine Translation and GenerationHuda Khayrallah, Philipp Koehn2018 · 188 citations
7. Soft Syntactic Constraints for Hierarchical Phrased-Based TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuval Marton, Philip Resnik2008 · 183 citations
8. Findings of the WMT 2018 Shared Task on Parallel Corpus FilteringConference on Machine Translation: Shared Task PapersPhilipp Koehn, Huda Khayrallah, Kenneth Heafield, et al.2018 · 181 citations
9. Semantics-Based Machine Translation with Hyperedge Replacement GrammarsBevan Jones, Jacob Andreas, Daniel Bauer, et al.2012 · 180 citations
10. Using a Dependency Parser to Improve SMT for Subject-Object-Verb LanguagesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Peng Xu, Jaeho Kang, Michael Ringgaard, et al.2009 · 180 citations
11. Forest-based Translation Rule ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Haitao Mi, Liang Huang2008 · 178 citations
12. Learning to Translate with Source and Target SyntaxDavid Chiang2010 · 173 citations
13. Dirt Cheap Web-Scale Parallel Text from the Common CrawlAnnual Meeting of the Association for Computational Linguistics (ACL)Jason R. Smith, Herve Saint-Amand, Magdalena Plamada, et al.2013 · 166 citations
14. Dialectal to Standard Arabic Paraphrasing to Improve Arabic-English Statistical Machine TranslationWorkshop on Algorithms and Resources for Modelling of Dialects and Language VarietiesWael Salloum, Nizar Habash2011 · 127 citations
15. Robust Distortion-free Watermarks for Language ModelsarXiv:2307.15593Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, et al.2023 · 110 citations
16. On the Reliability of Watermarks for Large Language ModelsarXiv:2306.04634John Kirchenbauer, Jonas Geiping, Yuxin Wen, et al.2023 · 103 citations
17. Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MTComputational LinguisticsKathryn Baker, Michael Bloodgood, Bonnie J. Dorr, et al.2012 · 77 citations
18. Translation Divergences in Chinese–English Machine Translation: An Empirical InvestigationDun Deng, Nianwen Xue2017 · 55 citations
19. Topological Ordering of Function Words in Hierarchical Phrase-based TranslationHendra Setiawan, Min-Yen Kan, Haizhou Li, et al.2009 · 31 citations
20. Statistical Parsing by Machine Learning from a Classical Arabic TreebankKais Dukes2015 · 27 citations
21. Capturing Translational Divergences with a Statistical Tree-to-Tree AlignerMary Hearne, John Tinsley, Ventsislav Zhechev, et al.2007 · 26 citations

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