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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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Paper Details:
Month: November
Year: 2017
Location: Taipei, Taiwan
Venue:
WAT |
WS |
Citations
URL
When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?
Ye Qi
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Devendra Sachan
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Matthieu Felix
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Sarguna Padmanabhan
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Graham Neubig
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Subword-level Word Vector Representations for Korean
Sungjoon Park
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Jeongmin Byun
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Sion Baek
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Yongseok Cho
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Alice Oh
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Multi-representation ensembles and delayed SGD updates improve syntax-based NMT
Danielle Saunders
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Felix Stahlberg
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Adrià de Gispert
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Bill Byrne
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Overview of the 4th Workshop on Asian Translation
Toshiaki Nakazawa
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Shohei Higashiyama
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Chenchen Ding
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Hideya Mino
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Isao Goto
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Hideto Kazawa
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Yusuke Oda
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Graham Neubig
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Sadao Kurohashi
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https://google.github.io/seq2seq/
https://www.tensorflow.org/
http://lotus.kuee.kyoto-u.ac.jp/WAT/
http://www.statmt.org/moses/
http://www.phontron.com/kytea/
https://github.com/google/
https://github.com/svn2github/
https://github.com/stanfordnlp/GloVe
https://github.com/facebookresearch/
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Information Retrieval
Machine Translation
Video Description Generation
Language
English
Japanese
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