We received a total of 24 submissions, out of which 15 submissions were accepted. The acceptance rate is 62.5%. Thanks everyone for submitting and reviewing papers!
Analyzing Neural MT Search and Model Performance
Authors: Jan Niehues, Eunah Cho, Thanh-Le Ha and Alex Waibel
An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation
Authors: Raphael Shu and Hideki Nakayama
Stronger Baselines for Trustable Results in Neural Machine Translation
Authors: Michael Denkowski and Graham Neubig
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation
Authors: Makoto Morishita, Yusuke Oda, Graham Neubig, Koichiro Yoshino, Katsuhito Sudoh and Satoshi Nakamura
Cost Weighting for Neural Machine Translation Domain Adaptation
Authors: Boxing Chen, Colin Cherry, George Foster and Samuel Larkin
Detecting Untranslated Content for Neural Machine Translation
Authors: Isao Goto and Hideki Tanaka
Six Challenges for Neural Machine Translation
Authors: Philipp Koehn and Rebecca Knowles
Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation
Authors: Marine Carpuat
Beam Search Strategies for Neural Machine Translation
Authors: Markus Freitag and Yaser Al-Onaizan
Extended abstracts
Interactive Beam Search for Visualizing Neural Machine Translation
Authors: Jaesong Lee, JoongHwi Shin and Jun-Seok Kim
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Authors: Joost Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani and Khalil Sima'an
Domain Aware Neural Dialogue System
Authors: Sajal Choudhary, Prerna Srivastava, Joao Sedoc and Lyle Unga
Towards String-to-Tree Neural Machine Translation
Authors: Roee Aharoni and Yoav Goldberg
What do Neural Machine Translation Models Learn about Morphology?
Authors: Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad and James Glass
Trainable Greedy Decoding for Neural Machine Translation
Authors: Jiatao Gu, Kyunghyun Cho and Victor O.K. Li