Conference of the Association for Machine Translation in the Americas (2018)
Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Colin Cherry
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Graham Neubig
Keynote: Unveiling the Linguistic Weaknesses of Neural MT
Arianna Bisazza
Document-Level Information as Side Constraints for Improved Neural Patent Translation
Laura Jehl
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Stefan Riezler
Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT
Marianna Martindale
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Marine Carpuat
Combining Quality Estimation and Automatic Post-editing to Enhance Machine Translation output
Rajen Chatterjee
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Matteo Negri
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Marco Turchi
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Frédéric Blain
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Lucia Specia
Neural Morphological Tagging of Lemma Sequences for Machine Translation
Costanza Conforti
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Matthias Huck
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Alexander Fraser
Context Models for OOV Word Translation in Low-Resource Languages
Angli Liu
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Katrin Kirchhoff
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
Georg Heigold
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Stalin Varanasi
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Günter Neumann
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Josef van Genabith
Balancing Translation Quality and Sentiment Preservation (Non-archival Extended Abstract)
Pintu Lohar
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Haithem Afli
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Andy Way
Register-sensitive Translation: a Case Study of Mandarin and Cantonese (Non-archival Extended Abstract)
Tak-sum Wong
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John Lee
An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation
Duygu Ataman
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Marcello Federico
A Smorgasbord of Features to Combine Phrase-Based and Neural Machine Translation
Benjamin Marie
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Atsushi Fujita
Exploring Word Sense Disambiguation Abilities of Neural Machine Translation Systems (Non-archival Extended Abstract)
Rebecca Marvin
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Philipp Koehn
Improving Low Resource Machine Translation using Morphological Glosses (Non-archival Extended Abstract)
Steven Shearing
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Christo Kirov
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Huda Khayrallah
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David Yarowsky
A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions
Shigehiko Schamoni
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Julian Hitschler
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Stefan Riezler
Simultaneous Translation using Optimized Segmentation
Maryam Siahbani
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Hassan Shavarani
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Ashkan Alinejad
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Anoop Sarkar
Neural Monkey: The Current State and Beyond
Jindřich Helcl
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Jindřich Libovický
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Tom Kocmi
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Tomáš Musil
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Ondřej Cífka
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Dušan Variš
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Ondřej Bojar
OpenNMT: Neural Machine Translation Toolkit
Guillaume Klein
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Yoon Kim
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Yuntian Deng
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Vincent Nguyen
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Jean Senellart
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Alexander Rush
XNMT: The eXtensible Neural Machine Translation Toolkit
Graham Neubig
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Matthias Sperber
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Xinyi Wang
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Matthieu Felix
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Austin Matthews
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Sarguna Padmanabhan
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Ye Qi
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Devendra Sachan
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Philip Arthur
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Pierre Godard
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John Hewitt
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Rachid Riad
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Liming Wang
Tensor2Tensor for Neural Machine Translation
Ashish Vaswani
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Samy Bengio
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Eugene Brevdo
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Francois Chollet
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Aidan Gomez
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Stephan Gouws
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Llion Jones
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Łukasz Kaiser
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Nal Kalchbrenner
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Niki Parmar
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Ryan Sepassi
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Noam Shazeer
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Jakob Uszkoreit
The Sockeye Neural Machine Translation Toolkit at AMTA 2018
Felix Hieber
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Tobias Domhan
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Michael Denkowski
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David Vilar
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Artem Sokolov
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Ann Clifton
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Matt Post
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation
Felix Stahlberg
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Danielle Saunders
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Gonzalo Iglesias
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Bill Byrne
Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track)
Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track)
Janice Campbell
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Alex Yanishevsky
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Jennifer Doyon
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Doug Jones
Keynote: Machine Translation Beyond the Sentence
Macduff Hughes
Keynote: Setting up a Machine Translation Program for IARPA
Carl Rubino
Keynote: Use more Machine Translation and Keep Your Customers Happy
Glen Poor
Technology Showcase and Presentations
Jennifer DeCamp
Augmented Translation: A New Approach to Combining Human and Machine Capabilities
Arle Lommel
Training, feedback and productivity measurement with NMT and Adaptive MT
Jean-Luc Saillard
The Collision of Quality and Technology with Reality
Don DePalma
Same-language machine translation for local flavours/flavors
Gema Ramírez-Sánchez
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Janice Campbell
Thinking of Going Neural? Factors Honda R&D Americas is Considering before Making the Switch
Phil Soldini
Developing a Neural Machine Translation Service for the 2017-2018 European Union Presidency
Mārcis Pinnis
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Rihards Kalnins
Neural Won! Now What?
Alex Yanishevsky
MT for L10n: How we build and evaluate MT systems at eBay
Jose Sánchez
Turning NMT Research into Commercial Products
Dragos Munteanu
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Adrià Gispert
Beyond Quality, Considerations for an MT solution
Quinn Lam
Towards Less Post-Editing
Bill Lafferty
Leveraging Data Resources for Cross-Linguistic Information Retrieval Using Statistical Machine Translation
Steve Sloto
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Ann Clifton
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Greg Hanneman
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Patrick Porter
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Donna Gates
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Almut Hildebrand
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Anish Kumar
The Impact of Advances in Neural and Statistical MT on the Translation Workforce
Jennifer DeCamp
PEMT for the Public Sector - Evolution of a Solution
Konstantine Boukhvalov
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Sandy Hogg
Embedding Register-Aware MT into the CAT Workflow
Corey Miller
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Danielle Silverman
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Vanesa Jurica
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Elizabeth Richerson
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Rodney Morris
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Elisabeth Mallard
Challenges in Speech Recognition and Translation of High-Value Low-Density Polysynthetic Languages
Judith Klavans
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John Morgan
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Stephen LaRocca
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Jeffrey Micher
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Clare Voss
Evaluating Automatic Speech Recognition in Translation
Evelyne Tzoukermann
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Corey Miller
Portable Speech-to-Speech Translation on an Android Smartphone: The MFLTS System
Ralf Meermeier
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Sean Colbath
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Martha Lillie
Tutorial: De-mystifying Neural MT
Dragos Munteanu
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Ling Tsou
Tutorial: MQM-DQF: A Good Marriage (Translation Quality for the 21st Century)
Arle Lommel
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Alan Melby
Tutorial: Corpora Quality Management for MT - Practices and Roles
Silvio Picinini
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Pete Smith
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Nicola Ueffing