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Sockeye: A Toolkit for Neural Machine Translation
v1v2 (latest)

Sockeye: A Toolkit for Neural Machine Translation

15 December 2017
Felix Hieber
Tobias Domhan
Michael J. Denkowski
David Vilar
Artem Sokolov
Ann Clifton
Matt Post
ArXiv (abs)PDFHTML

Papers citing "Sockeye: A Toolkit for Neural Machine Translation"

30 / 30 papers shown
Title
Lipschitz Constrained Parameter Initialization for Deep Transformers
Lipschitz Constrained Parameter Initialization for Deep Transformers
Hongfei Xu
Qiuhui Liu
Josef van Genabith
Deyi Xiong
Jingyi Zhang
ODL
82
26
0
08 Nov 2019
Toward a full-scale neural machine translation in production: the
  Booking.com use case
Toward a full-scale neural machine translation in production: the Booking.com use case
Pavel Levin
Nishikant Dhanuka
Talaat Khalil
Fedor Kovalev
Maxim Khalilov
57
17
0
18 Sep 2017
The University of Edinburgh's Neural MT Systems for WMT17
The University of Edinburgh's Neural MT Systems for WMT17
Rico Sennrich
Alexandra Birch
Anna Currey
Ulrich Germann
Barry Haddow
Kenneth Heafield
Antonio Valerio Miceli Barone
Philip Williams
MoE
95
182
0
02 Aug 2017
Machine Translation at Booking.com: Journey and Lessons Learned
Machine Translation at Booking.com: Journey and Lessons Learned
Pavel Levin
Nishikant Dhanuka
Maxim Khalilov
59
16
0
25 Jul 2017
Stronger Baselines for Trustable Results in Neural Machine Translation
Stronger Baselines for Trustable Results in Neural Machine Translation
Michael J. Denkowski
Graham Neubig
63
118
0
29 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
808
132,725
0
12 Jun 2017
Convolutional Sequence to Sequence Learning
Convolutional Sequence to Sequence Learning
Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann N. Dauphin
AIMat
174
3,292
0
08 May 2017
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine
  Translation Decoding on the CPU
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU
Jacob Devlin
71
36
0
04 May 2017
Nematus: a Toolkit for Neural Machine Translation
Nematus: a Toolkit for Neural Machine Translation
Rico Sennrich
Orhan Firat
Kyunghyun Cho
Alexandra Birch
Barry Haddow
...
Marcin Junczys-Dowmunt
Samuel Läubli
Antonio Valerio Miceli Barone
Jozef Mokry
Maria Nadejde
66
407
0
13 Mar 2017
Regularizing Neural Networks by Penalizing Confident Output
  Distributions
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra
George Tucker
J. Chorowski
Lukasz Kaiser
Geoffrey E. Hinton
NoLa
165
1,141
0
23 Jan 2017
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
338
1,900
0
10 Jan 2017
Language Modeling with Gated Convolutional Networks
Language Modeling with Gated Convolutional Networks
Yann N. Dauphin
Angela Fan
Michael Auli
David Grangier
245
2,410
0
23 Dec 2016
Eve: A Gradient Based Optimization Method with Locally and Globally
  Adaptive Learning Rates
Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates
Hiroaki Hayashi
Jayanth Koushik
Graham Neubig
ODL
63
31
0
04 Nov 2016
Is Neural Machine Translation Ready for Deployment? A Case Study on 30
  Translation Directions
Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions
Marcin Junczys-Dowmunt
Tomasz Dwojak
Hieu T. Hoang
101
199
0
04 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
918
6,799
0
26 Sep 2016
Context Gates for Neural Machine Translation
Context Gates for Neural Machine Translation
Zhaopeng Tu
Yang Liu
Zhengdong Lu
Xiaohua Liu
Hang Li
75
138
0
22 Aug 2016
Using the Output Embedding to Improve Language Models
Using the Output Embedding to Improve Language Models
Ofir Press
Lior Wolf
104
736
0
20 Aug 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
435
10,541
0
21 Jul 2016
Recurrent Dropout without Memory Loss
Recurrent Dropout without Memory Loss
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
66
222
0
16 Mar 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
196
1,946
0
25 Feb 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural
  Networks
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCVDRLBDL
192
1,651
0
16 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Minimum Risk Training for Neural Machine Translation
Minimum Risk Training for Neural Machine Translation
Shiqi Shen
Yong Cheng
Zhongjun He
W. He
Hua Wu
Maosong Sun
Yang Liu
137
469
0
08 Dec 2015
MXNet: A Flexible and Efficient Machine Learning Library for
  Heterogeneous Distributed Systems
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Tianqi Chen
Mu Li
Yutian Li
Min Lin
Naiyan Wang
Minjie Wang
Tianjun Xiao
Bing Xu
Chiyuan Zhang
Zheng Zhang
200
2,248
0
03 Dec 2015
Improving Neural Machine Translation Models with Monolingual Data
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich
Barry Haddow
Alexandra Birch
261
2,724
0
20 Nov 2015
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
238
7,765
0
31 Aug 2015
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
420
7,971
0
17 Aug 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
450
20,606
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
584
27,338
0
01 Sep 2014
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