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ORCID13th AMTA 2018: Boston, MA, USA - Volume 1: Research Papers
- Colin Cherry, Graham Neubig:
Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, AMTA 2018, Boston, MA, USA, March 17-21, 2018 - Volume 1: Research Papers. Association for Machine Translation in the Americas 2018 - Arianna Bisazza:
Keynote: Unveiling the Linguistic Weaknesses of Neural MT. - Laura Jehl, Stefan Riezler:
Document-Level Information as Side Constraints for Improved Neural Patent Translation. 1-12 - Marianna J. Martindale, Marine Carpuat:
Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT. 13-25 - Rajen Chatterjee, Matteo Negri, Marco Turchi, Frédéric Blain, Lucia Specia:
Combining Quality Estimation and Automatic Post-editing to Enhance Machine Translation output. 26-38 - Costanza Conforti, Matthias Huck, Alexander M. Fraser:
Neural Morphological Tagging of Lemma Sequences for Machine Translation. 39-53 - Angli Liu, Katrin Kirchhoff:
Context Models for OOV Word Translation in Low-Resource Languages. 54-67 - Georg Heigold, Stalin Varanasi, Günter Neumann, Josef van Genabith:
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse? 68-80 - Pintu Lohar, Haithem Afli, Andy Way:
Balancing Translation Quality and Sentiment Preservation (Non-archival Extended Abstract). 81-88 - Tak-Sum Wong, John Lee:
Register-sensitive Translation: a Case Study of Mandarin and Cantonese (Non-archival Extended Abstract). 89-96 - Duygu Ataman, Marcello Federico:
An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation. 97-110 - Benjamin Marie, Atsushi Fujita:
A Smorgasbord of Features to Combine Phrase-Based and Neural Machine Translation. 111-124 - Rebecca Marvin, Philipp Koehn:
Exploring Word Sense Disambiguation Abilities of Neural Machine Translation Systems (Non-archival Extended Abstract). 125-131 - Steven Shearing, Christo Kirov, Huda Khayrallah, David Yarowsky:
Improving Low Resource Machine Translation using Morphological Glosses (Non-archival Extended Abstract). 132-139 - Shigehiko Schamoni, Julian Hitschler, Stefan Riezler:
A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions. 140-153 - Maryam Siahbani, Hassan Shavarani, Ashkan Alinejad, Anoop Sarkar:
Simultaneous Translation using Optimized Segmentation. 154-167 - Jindrich Helcl, Jindrich Libovický, Tom Kocmi, Tomás Musil, Ondrej Cífka, Dusan Varis, Ondrej Bojar:
Neural Monkey: The Current State and Beyond. 168-176 - Guillaume Klein, Yoon Kim, Yuntian Deng, Vincent Nguyen, Jean Senellart, Alexander M. Rush
:
OpenNMT: Neural Machine Translation Toolkit. 177-184 - Graham 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:
XNMT: The eXtensible Neural Machine Translation Toolkit. 185-192 - Ashish 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:
Tensor2Tensor for Neural Machine Translation. 193-199 - Felix Hieber, Tobias Domhan, Michael J. Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post:
The Sockeye Neural Machine Translation Toolkit at AMTA 2018. 200-207 - Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias, Bill Byrne:
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation. 208-216
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