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Results: 5
Number of items: 5
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Fadaee, M., & Monz, C. (2018). Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation. In E. Riloff, D. Chiang, J. Hockenmaier, & J. Tsujii (Eds.), Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing : EMNLP 2018: Brussels, Belgium, Oct. 31-Nov. 4 (pp. 436-446). The Association for Computational Linguistics. https://doi.org/10.18653/v1/D18-1040 -
Fadaee, M., Bisazza, A., & Monz, C. (2018). Examining the Tip of the Iceberg: A Data Set for Idiom Translation. 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. 925-929). European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2018/summaries/432.html
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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
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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
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