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Results: 4
Number of items: 4
  • Open Access
    Garmash, E. (2017). Exploring the correspondence between languages for machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Garmash, E., & Monz, C. (2016). Ensemble Learning for Multi-Source Neural Machine Translation. In Y. Matsumoto, & R. Prasad (Eds.), Proceedings of COLING 2016: technical papers: the 26th International Conference on Computational Linguistics : Osaka, Japan, December 11-17 2016 (pp. 1409-1418). The COLING 2016 Organizing Committee. https://www.aclweb.org/anthology/C16-1133
  • Garmash, E., & Monz, C. (2015). Bilingual Structured Language Models for Statistical Machine Translation. In L. Márquez, C. Callison-Burch, & J. Su (Eds.), EMNLP 2015 Lisbon : conference proceedings: September 17-21 : Conference on Empirical Methods in Natural Language Processing (pp. 2398-2408). The Association for Computational Linguistics. https://aclweb.org/anthology/D/D15/D15-1287.pdf
  • Garmash, E., & Monz, C. (2014). Dependency-Based Bilingual Language Models for Reordering in Statistical Machine Translation. In A. Moschitti, B. Pang, & W. Daelemans (Eds.), EMNLP 2014: the 2014 Conference on Empirical Methods in Natural Language Processing: proceedings of the conference: October 25-29, 2014, Doha, Qatar (pp. 1689-1700). Association for Computational Linguistics. http://www.aclweb.org/anthology/D14-1176
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