📰 AMTA 2018: all accepted papers

47 papers · the most cited first · ← AMTA 2018

1. A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions ↗Shigehiko Schamoni, Julian Hitschler, Stefan Riezler · Research Track
2. A Smorgasbord of Features to Combine Phrase-Based and Neural Machine Translation ↗Benjamin Marie, Atsushi Fujita · Research Track
3. An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation ↗Duygu Ataman, Marcello Federico · Research Track
4. Augmented Translation: A New Approach to Combining Human and Machine Capabilities ↗Arle Lommel · User Track
5. Balancing Translation Quality and Sentiment Preservation (Non-archival Extended Abstract) ↗Pintu Lohar, Haithem Afli, Andy Way · Research Track
6. Beyond Quality, Considerations for an MT solution ↗Quinn Lam · User Track
7. Challenges in Speech Recognition and Translation of High-Value Low-Density Polysynthetic Languages ↗Judith Klavans, John Morgan, Stephen LaRocca et al. · User Track
8. Combining Quality Estimation and Automatic Post-editing to Enhance Machine Translation output ↗Rajen Chatterjee, Matteo Negri, Marco Turchi et al. · Research Track
9. Context Models for OOV Word Translation in Low-Resource Languages ↗Angli Liu, Katrin Kirchhoff · Research Track
10. Developing a Neural Machine Translation Service for the 2017-2018 European Union Presidency ↗Mārcis Pinnis, Rihards Kalnins · User Track
11. Document-Level Information as Side Constraints for Improved Neural Patent Translation ↗Laura Jehl, Stefan Riezler · Research Track
12. Embedding Register-Aware MT into the CAT Workflow ↗Corey Miller, Danielle Silverman, Vanesa Jurica et al. · User Track
13. Evaluating Automatic Speech Recognition in Translation ↗Evelyne Tzoukermann, Corey Miller · User Track
14. Exploring Word Sense Disambiguation Abilities of Neural Machine Translation Systems (Non-archival Extended Abstract) ↗Rebecca Marvin, Philipp Koehn · Research Track
15. Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT ↗Marianna Martindale, Marine Carpuat · Research Track
16. How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse? ↗Georg Heigold, Stalin Varanasi, Günter Neumann et al. · Research Track
17. Improving Low Resource Machine Translation using Morphological Glosses (Non-archival Extended Abstract) ↗Steven Shearing, Christo Kirov, Huda Khayrallah et al. · Research Track
18. Keynote: Machine Translation Beyond the Sentence ↗Macduff Hughes · User Track
19. Keynote: Setting up a Machine Translation Program for IARPA ↗Carl Rubino · User Track
20. Keynote: Unveiling the Linguistic Weaknesses of Neural MT ↗Arianna Bisazza · Research Track
21. Keynote: Use more Machine Translation and Keep Your Customers Happy ↗Glen Poor · User Track
22. Leveraging Data Resources for Cross-Linguistic Information Retrieval Using Statistical Machine Translation ↗Steve Sloto, Ann Clifton, Greg Hanneman et al. · User Track
23. MT for L10n: How we build and evaluate MT systems at eBay ↗Jose Sánchez · User Track
24. Neural Monkey: The Current State and Beyond ↗Jindřich Helcl, Jindřich Libovický, Tom Kocmi et al. · Research Track
25. Neural Morphological Tagging of Lemma Sequences for Machine Translation ↗Costanza Conforti, Matthias Huck, Alexander Fraser · Research Track
26. Neural Won! Now What? ↗Alex Yanishevsky · User Track
27. OpenNMT: Neural Machine Translation Toolkit ↗Guillaume Klein, Yoon Kim, Yuntian Deng et al. · Research Track
28. PEMT for the Public Sector - Evolution of a Solution ↗Konstantine Boukhvalov, Sandy Hogg · User Track
29. Portable Speech-to-Speech Translation on an Android Smartphone: The MFLTS System ↗Ralf Meermeier, Sean Colbath, Martha Lillie · User Track
30. Register-sensitive Translation: a Case Study of Mandarin and Cantonese (Non-archival Extended Abstract) ↗Tak-sum Wong, John Lee · Research Track
31. Same-language machine translation for local flavours/flavors ↗Gema Ramírez-Sánchez, Janice Campbell · User Track
32. Simultaneous Translation using Optimized Segmentation ↗Maryam Siahbani, Hassan Shavarani, Ashkan Alinejad et al. · Research Track
33. Technology Showcase and Presentations ↗Jennifer DeCamp · User Track
34. Tensor2Tensor for Neural Machine TranslationAshish Vaswani, Samy Bengio, Eugene Brevdo et al. · Research Trackour summary
35. The Collision of Quality and Technology with Reality ↗Don DePalma · User Track
36. The Impact of Advances in Neural and Statistical MT on the Translation Workforce ↗Jennifer DeCamp · User Track
37. The Sockeye Neural Machine Translation Toolkit at AMTA 2018 ↗Felix Hieber, Tobias Domhan, Michael Denkowski et al. · Research Track
38. Thinking of Going Neural? Factors Honda R&D Americas is Considering before Making the Switch ↗Phil Soldini · User Track
39. Towards Less Post-Editing ↗Bill Lafferty · User Track
40. Training, feedback and productivity measurement with NMT and Adaptive MT ↗Jean-Luc Saillard · User Track
41. Turning NMT Research into Commercial Products ↗Dragos Munteanu, Adrià Gispert · User Track
42. Tutorial: Corpora Quality Management for MT - Practices and Roles ↗Silvio Picinini, Pete Smith, Nicola Ueffing · User Track
43. Tutorial: De-mystifying Neural MT ↗Dragos Munteanu, Ling Tsou · User Track
44. Tutorial: MQM-DQF: A Good Marriage (Translation Quality for the 21st Century) ↗Arle Lommel, Alan Melby · User Track
45. VMware MT Tiered Model ↗Lynn Ma · User Track
46. Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation ↗Felix Stahlberg, Danielle Saunders, Gonzalo Iglesias et al. · Research Track
47. XNMT: The eXtensible Neural Machine Translation Toolkit ↗Graham Neubig, Matthias Sperber, Xinyi Wang et al. · Research Track

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