Abstract is missing.
- Keynote: Unveiling the Linguistic Weaknesses of Neural MTArianna Bisazza. [doi]
- Document-Level Information as Side Constraints for Improved Neural Patent TranslationLaura Jehl, Stefan Riezler. 1-12 [doi]
- Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MTMarianna J. Martindale, Marine Carpuat. 13-25 [doi]
- Combining Quality Estimation and Automatic Post-editing to Enhance Machine Translation outputRajen Chatterjee, Matteo Negri, Marco Turchi, Frédéric Blain, Lucia Specia. 26-38 [doi]
- Neural Morphological Tagging of Lemma Sequences for Machine TranslationCostanza Conforti, Matthias Huck, Alexander M. Fraser. 39-53 [doi]
- Context Models for OOV Word Translation in Low-Resource LanguagesAngli Liu, Katrin Kirchhoff. 54-67 [doi]
- How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?Georg Heigold, Stalin Varanasi, Günter Neumann, Josef van Genabith. 68-80 [doi]
- Balancing Translation Quality and Sentiment Preservation (Non-archival Extended Abstract)Pintu Lohar, Haithem Afli, Andy Way. 81-88 [doi]
- Register-sensitive Translation: a Case Study of Mandarin and Cantonese (Non-archival Extended Abstract)Tak-sum Wong, John Lee. 89-96 [doi]
- An Evaluation of Two Vocabulary Reduction Methods for Neural Machine TranslationDuygu Ataman, Marcello Federico. 97-110 [doi]
- A Smorgasbord of Features to Combine Phrase-Based and Neural Machine TranslationBenjamin Marie, Atsushi Fujita. 111-124 [doi]
- Exploring Word Sense Disambiguation Abilities of Neural Machine Translation Systems (Non-archival Extended Abstract)Rebecca Marvin, Philipp Koehn. 125-131 [doi]
- Improving Low Resource Machine Translation using Morphological Glosses (Non-archival Extended Abstract)Steven Shearing, Christo Kirov, Huda Khayrallah, David Yarowsky. 132-139 [doi]
- A Dataset and Reranking Method for Multimodal MT of User-Generated Image CaptionsShigehiko Schamoni, Julian Hitschler, Stefan Riezler. 140-153 [doi]
- Simultaneous Translation using Optimized SegmentationMaryam Siahbani, Hassan Shavarani, Ashkan Alinejad, Anoop Sarkar. 154-167 [doi]
- Neural Monkey: The Current State and BeyondJindrich Helcl, Jindrich Libovický, Tom Kocmi, Tomás Musil, Ondrej Cífka, Dusan Varis, Ondrej Bojar. 168-176 [doi]
- OpenNMT: Neural Machine Translation ToolkitGuillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush. 177-184 [doi]
- XNMT: The eXtensible Neural Machine Translation ToolkitGraham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang. 185-192 [doi]
- Tensor2Tensor for Neural Machine TranslationAshish Vaswani, Samy Bengio, Eugene Brevdo, François Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit. 193-199 [doi]
- The Sockeye Neural Machine Translation Toolkit at AMTA 2018Felix Hieber, Tobias Domhan, Michael Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post. 200-207 [doi]
- Why not be Versatile? Applications of the SGNMT Decoder for Machine TranslationFelix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne. 208-216 [doi]