Search results
Results: 8
Number of items: 8
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Deoskar, T., Mylonakis, M., & Sima'an, K. (2011). Learning Structural Dependencies of Words in the Zipfian Tail. In H. Bunt, J. Nivre, & Ö. Çetinoğlu (Eds.), Proceedings of the 12th International Conference on Parsing Technologies: IWPT 2011 : October 5-7, 2011, Dublin City University (pp. 80-91). Association for Computational Linguistics. http://www.aclweb.org/anthology/W/W11/W11-2911.pdf
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Mylonakis, M., & Sima'an, K. (2011). Learning Hierarchical Translation Structure with Linguistic Annotations. In Y. Matsumoto, & R. Mihalcea (Eds.), ACL HLT 2011 : The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: proceedings of the conference : 19-24 June, 2011, Portland, Oregon, USA (Vol. 1, pp. 642-652). Association for Computational Linguistics. http://www.aclweb.org/anthology/P/P11/P11-1065.pdf
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Mylonakis, M., & Sima'an, K. (2010). Learning probabilistic synchronous CFGs for phrase-based translation. In CoNLL-2010 : Fourteenth Conference on Computational Natural Language Learning: proceedings of the conference : 15-16 July 2010, Uppsala University, Uppsala, Sweden (pp. 117-125). Association for Computational Linguistics (ACL). http://portal.acm.org/citation.cfm?id=1870583 -
Sima'an, K., & Mylonakis, M. (2008). Better statistical estimation can benefit all phrases in phrase-based statistical machine translation. In SLT 2008: 2008 IEEE Workshop on Spoken Language Technology: Proceedings (pp. 237-240). IEEE. https://doi.org/10.1109/SLT.2008.4777884
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Mylonakis, M., & Sima'an, K. (2008). Phrase translation probabilities with ITG priors and smoothing as learning objective. In EMNLP 2008: 2008 Conference on Empirical Methods in Natural Language Processing: Proceedings of the conference (pp. 630-639). Association for Computational Linguistics (ACL). http://www.aclweb.org/anthology-new/D/D08/D08-1066.pdf -
Mylonakis, M., Sima'an, K., & Hwa, R. (2007). Unsupervised Estimation for Noisy-Channel Models. In Z. Ghahramani (Ed.), Proceedings of the Twenty-Fourth International Conference on Machine Learning (ICML 2007) (pp. 665-672). (ACM International Conference Proceedings Series; Vol. 227). Association for Computing Machinery. https://doi.org/10.1145/1273496.1273580
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