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Results: 163
Number of items: 163
  • Open Access
    van der Wees, M., Bisazza, A., & Monz, C. (2018). Evaluation of Machine Translation Performance Across Multiple Genres and Languages. In N. Calzolari, K. Choukri, C. Cieri, T. Declerck, S. Goggi, K. Hasida, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, S. Piperidis, & T. Tokunaga (Eds.), LREC 2018 : Eleventh International Conference on Language Resources and Evaluation: May 7-12, 2018, Miyazaki, Japan (pp. 3822-3827). European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2018/summaries/853.html
  • Ghader, H., & Monz, C. (2017). What does Attention in Neural Machine Translation Pay Attention to? In G. Kondrak, & T. Watanabe (Eds.), The Eight International Joint Conference on Natural Language Processing: proceedings of the Conference : November 27-December 1, 2017, Taipei, Taiwan (Vol. 1, pp. 30-39). Asian Federation of Natural Language Processing. http://www.aclweb.org/anthology/I17-1004
  • Open Access
    Fadaee, M., Bisazza, A., & Monz, C. (2017). Learning Topic-Sensitive Word Representations. In R. Barzilay, & M.-Y. Kan (Eds.), The 55th Annual Meeting of the Association for Computational Linguistics: proceedings of the Conference : July 30-August 4, 2017, Vancouver, Canada (Vol. 2, pp. 441-447). Association for Computational Linguistics. https://doi.org/10.18653/v1/P17-2070
  • Open Access
    Fadaee, M., Bisazza, A., & Monz, C. (2017). Data Augmentation for Low-Resource Neural Machine Translation. In R. Barzilay, & M.-Y. Kan (Eds.), The 55th Annual Meeting of the Association for Computational Linguistics: proceedings of the Conference : July 30-August 4, 2017, Vancouver, Canada (Vol. 2, pp. 567-573). Association for Computational Linguistics. https://doi.org/10.18653/v1/P17-2090
  • Open Access
    van der Wees, M., Bisazza, A., & Monz, C. (2017). Dynamic Data Selection for Neural Machine Translation. In M. Palmer, R. Hwa, & S. Riedel (Eds.), The Conference on Empirical Methods in Natural Language Processing: proceedings of the conference : EMNLP 2017 : September 9-11, 2017, Copenhagen, Denmark (pp. 1400-1410). Association for Computational Linguistics. https://doi.org/10.18653/v1/D17-1147
  • Open Access
    Garmash, E. (2017). Exploring the correspondence between languages for machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van der Wees, M. E. (2017). What’s in a domain? Towards fine-grained adaptation for machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Bellegarda, J. R., & Monz, C. (2016). State of the Art in Statistical Methods for Language and Speech Processing. Computer Speech and Language, 35, 163-184. https://doi.org/10.1016/j.csl.2015.07.001
  • 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
  • Open Access
    Martzoukos, S. (2016). Combinatorial and compositional aspects of bilingual aligned corpora. [Thesis, fully internal, Universiteit van Amsterdam].
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