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An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation
Makoto Morishita
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Yusuke Oda
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Graham Neubig
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Koichiro Yoshino
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Katsuhito Sudoh
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Satoshi Nakamura
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Paper Details:
Month: August
Year: 2017
Location: Vancouver
Venue:
NMT |
WS |
Citations
URL
When data permutations are pathological: the case of neural natural language inference
Natalie Schluter
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Daniel Varab
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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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Scheduled Multi-Task Learning: From Syntax to Translation
Eliyahu Kiperwasser
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Miguel Ballesteros
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A Bag of Useful Tricks for Practical Neural Machine Translation: Embedding Layer Initialization and Large Batch Size
Masato Neishi
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Jin Sakuma
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Satoshi Tohda
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Shonosuke Ishiwatari
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Naoki Yoshinaga
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Masashi Toyoda
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http://pytorch.org
https://github.com/rsennrich/nematus
https://github.com/neubig/lamtram
https://github.com/moses-smt/
https://github.com/odashi/nmtkit
https://github.com/moses-smt/
https://github.com/neubig/lamtram
Field Of Study
Task
Machine Translation
Language
English
Japanese
Dataset
News
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