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Travatar: A Forest-to-String Machine Translation Engine based on Tree Transducers
Graham Neubig
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Paper Details:
Month: August
Year: 2013
Location: Sofia, Bulgaria
Venue:
ACL |
Citations
URL
Discriminative Language Models as a Tool for Machine Translation Error Analysis
Koichi Akabe
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Graham Neubig
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Sakriani Sakti
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Tomoki Toda
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Satoshi Nakamura
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Incorporating Discrete Translation Lexicons into Neural Machine Translation
Philip Arthur
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Graham Neubig
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Satoshi Nakamura
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Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices
Felix Stahlberg
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Adrià de Gispert
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Eva Hasler
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Bill Byrne
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Multi-Target Machine Translation with Multi-Synchronous Context-free Grammars
Graham Neubig
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Philip Arthur
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Kevin Duh
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Flexible Non-Terminals for Dependency Tree-to-Tree Reordering
John Richardson
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Fabien Cromières
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Toshiaki Nakazawa
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Sadao Kurohashi
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On the Elements of an Accurate Tree-to-String Machine Translation System
Graham Neubig
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Kevin Duh
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Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic Constituents
Yusuke Oda
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Graham Neubig
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Sakriani Sakti
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Tomoki Toda
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Satoshi Nakamura
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Improving Pivot Translation by Remembering the Pivot
Akiva Miura
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Graham Neubig
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Sakriani Sakti
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Tomoki Toda
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Satoshi Nakamura
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A Continuous Space Rule Selection Model for Syntax-based Statistical Machine Translation
Jingyi Zhang
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Masao Utiyama
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Eiichro Sumita
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Graham Neubig
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Satoshi Nakamura
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OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
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Yoon Kim
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Yuntian Deng
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Jean Senellart
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Alexander Rush
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Semantic Parsing of Ambiguous Input through Paraphrasing and Verification
Philip Arthur
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Graham Neubig
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Sakriani Sakti
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Tomoki Toda
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Satoshi Nakamura
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Rule-based Syntactic Preprocessing for Syntax-based Machine Translation
Yuto Hatakoshi
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Graham Neubig
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Sakriani Sakti
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Tomoki Toda
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Satoshi Nakamura
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Forest-to-String SMT for Asian Language Translation: NAIST at WAT 2014
Graham Neubig
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Crosslingual Annotation and Analysis of Implicit Discourse Connectives for Machine Translation
Frances Yung
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Kevin Duh
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Yuji Matsumoto
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Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015
Graham Neubig
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Makoto Morishita
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Satoshi Nakamura
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NICT at WAT 2015
Chenchen Ding
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Masao Utiyama
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Eiichiro Sumita
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Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016
Graham Neubig
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Residual Stacking of RNNs for Neural Machine Translation
Raphael Shu
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Akiva Miura
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Tree as a Pivot: Syntactic Matching Methods in Pivot Translation
Akiva Miura
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Graham Neubig
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Katsuhito Sudoh
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Satoshi Nakamura
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Improving Low-Resource Neural Machine Translation with Filtered Pseudo-Parallel Corpus
Aizhan Imankulova
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Takayuki Sato
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Mamoru Komachi
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Neural Machine Translation of Logographic Language Using Sub-character Level Information
Longtu Zhang
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Mamoru Komachi
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http://phontron.com/travatar
http://marisa-trie.googlecode.com
http://statmt.org/moses/
http://code.google.com/p/giza-pp/
http://code.google.com/p/nile/
http://code.google.com/p/
http://nlp.stanford.edu/software/
http://www.phontron.com/kftt
Field Of Study
Linguistic Trends
Syntax
Task
Morphological Analysis
Machine Translation
Language
Chinese
English
Japanese
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