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Recurrent Neural Networks for Word Alignment Model
Akihiro Tamura
|
Taro Watanabe
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Eiichiro Sumita
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
Neural Machine Translation with Supervised Attention
Lemao Liu
|
Masao Utiyama
|
Andrew Finch
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Eiichiro Sumita
|
Latent Domain Word Alignment for Heterogeneous Corpora
Hoang Cuong
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Khalil Sima’an
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Fast and Accurate Preordering for SMT using Neural Networks
Adrià de Gispert
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Gonzalo Iglesias
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Bill Byrne
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Transition-based Neural Constituent Parsing
Taro Watanabe
|
Eiichiro Sumita
|
Dependency Forest based Word Alignment
Hitoshi Otsuki
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Chenhui Chu
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Toshiaki Nakazawa
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Sadao Kurohashi
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Alignment-Based Neural Machine Translation
Tamer Alkhouli
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Gabriel Bretschner
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Jan-Thorsten Peter
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Mohammed Hethnawi
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Andreas Guta
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Hermann Ney
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Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Tamer Alkhouli
|
Hermann Ney
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On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation
Tamer Alkhouli
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Gabriel Bretschner
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Hermann Ney
|
http://www.fit.vutbr.cz/
http://chasen-legacy.sourceforge.jp/
http://nlp.stanford.edu/software/
http://www.itl.nist.gov/iad/mig/tests/
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Spoken Language Processing
Approach
Generative Model
Discriminative Model
Unsupervised Learning
Language
Chinese
English
Japanese
French
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