| Stream-based translation models for statistical machine translation A Levenberg, C Callison-Burch, M Osborne Human Language Technologies: The 2010 Annual Conference of the North …, 2010 | 83 | 2010 |
| Stream-based randomised language models for SMT A Levenberg, M Osborne Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009 | 57 | 2009 |
| Predicting economic indicators from web text using sentiment composition A Levenberg, S Pulman, K Moilanen, E Simpson, S Roberts International Journal of Computer and Communication Engineering 3 (2), 109-115, 2014 | 53 | 2014 |
| A Bayesian model for learning SCFGs with discontiguous rules A Levenberg, C Dyer, P Blunsom Proceedings of the 2012 joint conference on empirical methods in natural …, 2012 | 27 | 2012 |
| Best worker available for worker assessment A Volkov, M Yankelevich, M Abramchik, A Levenberg US Patent 11,074,535, 2021 | 12 | 2021 |
| Economic Prediction using heterogeneous data streams from the World Wide Web A Levenberg, E Simpson, S Roberts, G Gottlob ECML workshop on Scalable Methods in Decision Making 2, 12-15, 2013 | 10 | 2013 |
| Multiple− stream Language Models for Statistical Machine Translation A Levenberg, M Osborne, D Matthews Association for Computational Linguistics, 2011 | 9 | 2011 |
| Scalable Online Incremental Learning for Web Spam Detection L Han, A Levenberg Recent Advances in Computer Science and Information Engineering 124, 235−241, 2012 | 8 | 2012 |
| Task similarity clusters for worker assessment A Volkov, M Yankelevich, M Abramchik, A Levenberg US Patent 10,726,377, 2020 | 6 | 2020 |
| Stream-based statistical machine translation AD Levenberg The University of Edinburgh, 2011 | 4 | 2011 |
| Bloom filter and lossy dictionary based language models AD Levenberg Master of Science Dissertation, School of Informatics, University of Edinburgh, 2007 | 3 | 2007 |
| Worker similarity clusters for worker assessment A Volkov, M Yankelevich, M Abramchik, A Levenberg US Patent 11,074,536, 2021 | 1 | 2021 |
| Candidate answer fraud for worker assessment A Volkov, M Yankelevich, M Abramchik, A Levenberg US Patent 11,074,537, 2021 | 1 | 2021 |
| Task-level answer confidence estimation for worker assessment A Volkov, M Yankelevich, M Abramchik, A Levenberg US Patent 10,776,741, 2020 | 1 | 2020 |
| Agent aptitude prediction A Volkov, M Yankelevich, M Abramchik, A Levenberg US Patent 11,983,645, 2024 | | 2024 |
| Task-level answer confidence estimation for worker assessment A Volkov, M Yankelevich, M Abramchik, A Levenberg US Patent 11,868,941, 2024 | | 2024 |
| Agent aptitude prediction A Volkov, M Yankelevich, M Abramchik, A Levenberg US Patent 11,080,608, 2021 | | 2021 |
| Candidate answer fraud for worker assessment A Volkov, M Yankelevich, M Abramchik, A Levenberg US Patent 10,878,360, 2020 | | 2020 |
| Worker answer confidence estimation for worker assessment A Volkov, M Yankelevich, M Abramchik, A Levenberg US Patent 10,755,221, 2020 | | 2020 |
| A Bayesian Model for Learning SCFGs with Discontiguous Rules P Blunsom | | 2012 |
