Amittai Axelrod, Xiaodong He, and Jianfeng Gao. Domain adaptation via pseudo indomain data selection. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, Edinburgh, Scotland, UK., July 2011. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. Neural machine translation by jointly learning to align and translate. CoRR, abs/1409.0473, 2014. Satanjeev Banerjee and Alon Lavie. Meteor: An automatic metric for MT evaluation with improved correlation with human judgments. In Proceedings of the ACL workshop on intrinsic and extrinsic eval uation measures for machine translation and/or summarization, pages 65-72, Ann Arbor, Michigan, 2005. Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, and Marcello Federico. Neural ver sus phrase-based machine translation qual ity: a case study. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 257-267, Austin, Texas, 2016. Monica Bianchini, Anas Belahcen, and Franco Scarselli. A comparative study of inductive and transductive learning with feedfor ward neural networks. In Conference of the Italian Association for Artificial Intelligence, pages 283-293, Genova, Italy, 2016. Springer. Ergun Bic¸ici. Feature decay algorithms for fast deployment of accurate statistical ma chine translation systems. In Proceedings of the Eighth Workshop on Statistical Machine Translation, pages 78-84, Sofia, Bulgaria, lection for machine translation using fea ture decay algorithms. In Proceedings of the Sixth Workshop on Statistical Ma chine Translation, pages 272-283, Edin burgh, Scotland, 2011. Ergun Bic¸ici and Deniz Yuret. Optimizing instance selection for statistical machine translation with feature decay algorithms. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 23(2):339-350, 2015. Ergun Bic¸ici, Qun Liu, and Andy Way. ParFDA for fast deployment of accurate sta tistical machine translation systems, bench marks, and statistics. In Proceedings of the Tenth Workshop on Statistical Machine Translation, pages 74-78, Lisbon, Portugal, 2015. Ondrej Bojar, Christian Buck, Christian Fe dermann, Barry Haddow, Philipp Koehn, Johannes Leveling, Christof Monz, Pavel Pecina, Matt Post, Herve Saint-Amand, Radu Soricut, Lucia Specia, and Aleˇs Tam chyna. Findings of the 2014 workshop on statistical machine translation. In Proceed ings of the Ninth Workshop on Statistical Machine Translation, pages 12-58, Balti more, Maryland, USA, 2014. Ondˇrej Bojar, Rajen Chatterjee, Christian Fe dermann, Barry Haddow, Matthias Huck, Chris Hokamp, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Carolina Scarton, Lucia Specia, and Marco Turchi. Findings of the 2015 Workshop on Statistical Machine Transla tion. In Proceedings of the Tenth Workshop on Statistical Machine Translation, pages 1-46, Lisboa, Portugal, 2015. Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi using rnn encoder-decoder for statistical machine translation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1724-1734, Doha, Qatar, 2014. Chenhui Chu, Raj Dabre, and Sadao Kurohashi. An empirical comparison of domain adaptation methods for neural machine translation. In Proceedings of the 55th Annual Meeting of the Association for Com putational Linguistics (Volume 2: Short Pa pers), volume 2, pages 385-391, Vancouver, Canada, 2017. Jonathan H. Clark, Chris Dyer, Alon Lavie, and Noah A. Smith. Better hypothesis test ing for statistical machine translation: Controlling for optimizer instability. In Pro ceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers), page 176-181, Portland, Oregon, 2011. Meghan Dowling, Teresa Lynn, Alberto Poncelas, and Andy Way. Smt versus nmt: Preliminary comparisons for irish. Technologies for MT of Low Resource Languages (LoResMT 2018), page 12, 2018. Sauleh Eetemadi, William Lewis, Kristina Toutanova, and Hayder Radha. Survey of data-selection methods in statistical machine translation. Machine Translation, 29 (3-4):189-223, 2015. Markus Freitag and Yaser Al-Onaizan. Fast domain adaptation for neural machine trans lation. arXiv preprint arXiv:1612.06897, 2016. Nal Kalchbrenner and Phil Blunsom. Recurrent continuous translation models. In Pro ceedings of the 2013 Conference on Empir- USA, October 2013. Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M. Rush. Opennmt: Open-source toolkit for neural machine translation. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics-System Demon strations, pages 67-72, Vancouver, Canada, 2017. Philipp Koehn. Statistical significance tests for machine translation evaluation. In Proceed ings of the 2004 Conference on Empirical Methods in Natural Language Processing, pages 388-395, Barcelona, Spain, 2004. Vladimir Levenshtein. Binary codes capable of correcting deletions, insertions and reversals. In Soviet Physics Doklady, volume 10, pages 707-710, 1966. Xiaoqing Li, Jiajun Zhang, and Chengqing Zong. One sentence one model for neu ral machine translation. arXiv preprint arXiv:1609.06490, 2016. Adam David Lopez. Machine Translation by Pattern Matching. PhD thesis, College Park, MD, USA, 2008. Minh-Thang Luong and Christopher D Man ning. Stanford neural machine translation systems for spoken language domains. In Proceedings of the International Workshop on Spoken Language Translation, Da Nang, Vietnam, 2015. Thang Luong, Hieu Pham, and Christopher D. Manning. Effective approaches to attention based neural machine translation. In Pro ceedings of the 2015 Conference on Em pirical Methods in Natural Language Pro cessing, pages 1412-1421, Lisbon, Portugal, 2015. Tomas Mikolov, Ilya Sutskever, Kai Chen, phrases and their compositionality. In Proceedings of the 26th International Conference on Neural Information Processing Systems-Volume 2, pages 3111-3119, Daegu, South Korea, 2013. Robert Ostling and Jörg Tiedemann. Neural machine translation for low-resource lan guages. arXiv preprint arXiv:1708.05729, 2017. Sylwia Ozdowska and Andy Way. Optimal Bilingual Data for French-English PBSMT. In Proceedings of the 13th Annual Meeting of the European Association for Machine Translation, pages 96-103, Barcelona, Spain, 2009. Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. Bleu: a method for auto matic evaluation of machine translation. In Proceedings of 40th Annual Meeting of the Association for Computational Linguistics, pages 311-318, Philadelphia, Pennsylvania, USA, 2002. Alberto Poncelas, Andy Way, and Antonio Toral. Extending feature decay algorithms using alignment entropy. In International Workshop on Future and Emerging Trends in Language Technology, pages 170-182, Seville, Spain, 2016. Alberto Poncelas, Gideon Maillette de Buy Wenniger, and Andy Way. Apply ing n-gram alignment entropy to improve feature decay algorithms. The Prague Bulletin of Mathematical Linguistics, 108 (1):245-256, 2017. Maja Popovic. chrF: character n-gram F-score for automatic MT evaluation. In Proceed ings of the Tenth Workshop on Statistical Machine Translation, pages 392-395, Lis bon, Portugal, 2015. Matthew Snover, Bonnie Dorr, Richard rate with targeted human annotation. In Proceedings of the 7th Conference of the Association for Machine Translation in the Americas, pages 223-231, Cambridge, Massachusetts, USA, 2006. Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. Sequence to sequence learning with neural networks. In Proceedings of the 27th Inter national Conference on Neural Information Processing Systems - Volume 2. Marlies van der Wees, Arianna Bisazza, and Christof Monz. Dynamic data selection for neural machine translation. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 1400-1410, Copenhagen, Denmark, 2017.