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Massive Exploration of Neural Machine Translation Architectures
Denny Britz
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Anna Goldie
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Minh-Thang Luong
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Quoc Le
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
A Stable and Effective Learning Strategy for Trainable Greedy Decoding
Yun Chen
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Victor O.K. Li
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Kyunghyun Cho
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Samuel Bowman
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Training Deeper Neural Machine Translation Models with Transparent Attention
Ankur Bapna
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Mia Chen
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Orhan Firat
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Yuan Cao
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Yonghui Wu
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CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++
Xiaolin Wang
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Masao Utiyama
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Eiichiro Sumita
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Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment
Gonzalo Iglesias
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William Tambellini
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Adrià De Gispert
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Eva Hasler
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Bill Byrne
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A Simple and Effective Approach to Coverage-Aware Neural Machine Translation
Yanyang Li
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Tong Xiao
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Yinqiao Li
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Qiang Wang
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Changming Xu
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Jingbo Zhu
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Modeling Past and Future for Neural Machine Translation
Zaixiang Zheng
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Hao Zhou
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Shujian Huang
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Lili Mou
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Xinyu Dai
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Jiajun Chen
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Zhaopeng Tu
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Exploring Neural Methods for Parsing Discourse Representation Structures
Rik van Noord
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Lasha Abzianidze
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Antonio Toral
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Johan Bos
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CUNI NMT System for WAT 2017 Translation Tasks
Tom Kocmi
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Dušan Variš
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Ondřej Bojar
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System Description of Supervised and Unsupervised Neural Machine Translation Approaches from “NL Processing” Team at DeepHack.Babel Task
Ilya Gusev
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Artem Oboturov
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The Annotated Transformer
Alexander Rush
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Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations
Sameen Maruf
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André F. T. Martins
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Gholamreza Haffari
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https://github.com/moses-smt/mosesdecoder/
https://github.com/moses-
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Language
English
Japanese
Dataset
News
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