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Towards String-To-Tree Neural Machine Translation
Roee Aharoni
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Yoav Goldberg
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
Jetic Gū
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Hassan S. Shavarani
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Anoop Sarkar
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Semantics as a Foreign Language
Gabriel Stanovsky
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Ido Dagan
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Multi-Source Syntactic Neural Machine Translation
Anna Currey
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Kenneth Heafield
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A Tree-based Decoder for Neural Machine Translation
Xinyi Wang
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Hieu Pham
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Pengcheng Yin
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Graham Neubig
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Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information
An Nguyen Le
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Ander Martinez
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Akifumi Yoshimoto
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Yuji Matsumoto
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Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder
Fahim Dalvi
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Nadir Durrani
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Hassan Sajjad
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Yonatan Belinkov
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Stephan Vogel
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Higher-Order Syntactic Attention Network for Longer Sentence Compression
Hidetaka Kamigaito
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Katsuhiko Hayashi
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Tsutomu Hirao
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Masaaki Nagata
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Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
Diego Marcheggiani
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Joost Bastings
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Ivan Titov
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Graph-to-Sequence Learning using Gated Graph Neural Networks
Daniel Beck
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Gholamreza Haffari
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Trevor Cohn
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Forest-Based Neural Machine Translation
Chunpeng Ma
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Akihiro Tamura
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Masao Utiyama
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Tiejun Zhao
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Eiichiro Sumita
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Deep RNNs Encode Soft Hierarchical Syntax
Terra Blevins
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Omer Levy
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Luke Zettlemoyer
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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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On the Practical Computational Power of Finite Precision RNNs for Language Recognition
Gail Weiss
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Yoav Goldberg
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Eran Yahav
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SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags
Eva Vanmassenhove
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Andy Way
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Scheduled Multi-Task Learning: From Syntax to Translation
Eliyahu Kiperwasser
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Miguel Ballesteros
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Semantic Neural Machine Translation Using AMR
Linfeng Song
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Daniel Gildea
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Yue Zhang
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Zhiguo Wang
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Jinsong Su
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Predicting Target Language CCG Supertags Improves Neural Machine Translation
Maria Nădejde
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Siva Reddy
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Rico Sennrich
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Tomasz Dwojak
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Marcin Junczys-Dowmunt
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Philipp Koehn
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Alexandra Birch
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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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Named-Entity Tagging and Domain adaptation for Better Customized Translation
Zhongwei Li
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Xuancong Wang
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Ai Ti Aw
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Eng Siong Chng
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Haizhou Li
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Inducing Grammars with and for Neural Machine Translation
Yonatan Bisk
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Ke Tran
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https://doi.org/10.18653/v1/P17-2021
https://doi.org/10.18653/v1/P17-2021
https://github.com/BLLIP/bllip-parser
https://github.com/rsennrich/
https://github.com/rsennrich/nematus
https://aclweb.org/anthology/D16-1257
http://www.aclweb.org/anthology/N16-1024
http://www.aclweb.org/anthology/P16-1078
http://arxiv.org/abs/1702.03525
http://www.aclweb.org/anthology/D13-
http://www.aclweb.org/anthology/W16-2209
http://www.aclweb.org/anthology/W16-2323
http://www.aclweb.org/anthology/P16-1162
https://aclweb.org/anthology/D16-
http://anthology.aclweb.org/P16-2049
http://www.aclweb.org/anthology/P15-1150
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Machine Translation
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