Authors
Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, László Lukács, Marina Ganea, Peter Young, Vivek Ramavajjala, Harrie Oosterhuis, Sujith Ravi, Michael Bendersky, Justine Zhang, Ravi Kumar, Sujith Ravi, Cristian Danescu-Niculescu-Mizil, Sujith Ravi, Qiming Diao, James B Wendt, Michael Bendersky, Lluis Garcia-Pueyo, Vanja Josifovski, Balint Miklos, Ivo Krka, Amitabh Saikia, Jie Yang, Marc-Allen Cartright, Sujith Ravi, Song Feng, Sujith Ravi, Ravi Kumar, Polina Kuznetsova, Wei Liu, Alex Berg, Tamara Berg, Yejin Choi, Aaron Li, Amr Ahmed, Sujith Ravi, Alex Smola, Sujith Ravi, Bo Pang, Vibhor Rastogi, Ravi Kumar, Sujith Ravi, Sergei Vassilivitskii, Vibhor Rastogi, Anirban Dasgupta, Ravi Kumar, Sujith Ravi, Sujith Ravi, Vidhya Navalpakkam, Ladawn Jentzsch, Rory Sayres, Sujith Ravi, Amr Ahmed, Alex Smola, Amr Ahmed, Sujith Ravi, Shravan Narayanamurthy, Alex Smola, Bo Pang, Sujith Ravi, Sujith Ravi, Sujith Ravi, Stephen Boxwell, Chris Brew, Jason Baldridge, Dennis Mehay, Sujith Ravi, Zornitsa Kozareva, Sujith Ravi, Sujith Ravi, Sujith Ravi, Sujith Ravi
Publication date
2016
Journal
Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}
Volume
36
Pages
495-503
Description
abstract={In this work, we tackle the task of machine translation (MT) without parallel training
data. We frame the MT problem as a decipherment task, treating the foreign text as a cipher
for English and present novel methods for training translation models from non-parallel
text.},
Total citations
20161
Scholar articles
A Kannan, K Kurach, S Ravi, T Kaufmann, A Tomkins… - Proceedings of the ACM SIGKDD Conference on …, 2016