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Linguistic Input Features Improve Neural Machine Translation
Rico Sennrich
|
Barry Haddow
|
Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
WMT |
WS |
SIG: SIGMT
Citations
URL
Ensemble Learning for Multi-Source Neural Machine Translation
Ekaterina Garmash
|
Christof Monz
|
Topic-Informed Neural Machine Translation
Jian Zhang
|
Liangyou Li
|
Andy Way
|
Qun Liu
|
Improving Neural Machine Translation by Incorporating Hierarchical Subword Features
Makoto Morishita
|
Jun Suzuki
|
Masaaki Nagata
|
Tailoring Neural Architectures for Translating from Morphologically Rich Languages
Peyman Passban
|
Andy Way
|
Qun Liu
|
Neural Machine Translation Incorporating Named Entity
Arata Ugawa
|
Akihiro Tamura
|
Takashi Ninomiya
|
Hiroya Takamura
|
Manabu Okumura
|
Neural Machine Translation with Source-Side Latent Graph Parsing
Kazuma Hashimoto
|
Yoshimasa Tsuruoka
|
Translating Phrases in Neural Machine Translation
Xing Wang
|
Zhaopeng Tu
|
Deyi Xiong
|
Min Zhang
|
Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation
Baosong Yang
|
Derek F. Wong
|
Tong Xiao
|
Lidia S. Chao
|
Jingbo Zhu
|
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
|
Ivan Titov
|
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Joost Bastings
|
Ivan Titov
|
Wilker Aziz
|
Diego Marcheggiani
|
Khalil Sima’an
|
Knowledge Distillation for Bilingual Dictionary Induction
Ndapandula Nakashole
|
Raphael Flauger
|
Neural Machine Translation with Source Dependency Representation
Kehai Chen
|
Rui Wang
|
Masao Utiyama
|
Lemao Liu
|
Akihiro Tamura
|
Eiichiro Sumita
|
Tiejun Zhao
|
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
Jetic Gū
|
Hassan S. Shavarani
|
Anoop Sarkar
|
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning
Shiv Shankar
|
Siddhant Garg
|
Sunita Sarawagi
|
A Challenge Set and Methods for Noun-Verb Ambiguity
Ali Elkahky
|
Kellie Webster
|
Daniel Andor
|
Emily Pitler
|
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation
Arianna Bisazza
|
Clara Tump
|
A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax
Christo Kirov
|
John Sylak-Glassman
|
Rebecca Knowles
|
Ryan Cotterell
|
Matt Post
|
Nematus: a Toolkit for Neural Machine Translation
Rico Sennrich
|
Orhan Firat
|
Kyunghyun Cho
|
Alexandra Birch
|
Barry Haddow
|
Julian Hitschler
|
Marcin Junczys-Dowmunt
|
Samuel Läubli
|
Antonio Valerio Miceli Barone
|
Jozef Mokry
|
Maria Nădejde
|
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder
Fahim Dalvi
|
Nadir Durrani
|
Hassan Sajjad
|
Yonatan Belinkov
|
Stephan Vogel
|
Tilde MT Platform for Developing Client Specific MT Solutions
Mārcis Pinnis
|
Andrejs Vasiļjevs
|
Rihards Kalniņš
|
Roberts Rozis
|
Raivis Skadiņš
|
Valters Šics
|
Improving Character-Based Decoding Using Target-Side Morphological Information for Neural Machine Translation
Peyman Passban
|
Qun Liu
|
Andy Way
|
Japanese Predicate Conjugation for Neural Machine Translation
Michiki Kurosawa
|
Yukio Matsumura
|
Hayahide Yamagishi
|
Mamoru Komachi
|
Modeling Source Syntax for Neural Machine Translation
Junhui Li
|
Deyi Xiong
|
Zhaopeng Tu
|
Muhua Zhu
|
Min Zhang
|
Guodong Zhou
|
Learning to Parse and Translate Improves Neural Machine Translation
Akiko Eriguchi
|
Yoshimasa Tsuruoka
|
Kyunghyun Cho
|
SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags
Eva Vanmassenhove
|
Andy Way
|
Scheduled Multi-Task Learning: From Syntax to Translation
Eliyahu Kiperwasser
|
Miguel Ballesteros
|
Improving Neural Translation Models with Linguistic Factors
Cong Duy Vu Hoang
|
Reza Haffari
|
Trevor Cohn
|
Improved Neural Machine Translation using Side Information
Cong Duy Vu Hoang
|
Gholamreza Haffari
|
Trevor Cohn
|
Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation
Akiko Eriguchi
|
Kazuma Hashimoto
|
Yoshimasa Tsuruoka
|
Supersense Tagging with a Combination of Character, Subword, and Word-level Representations
Youhyun Shin
|
Sang-goo Lee
|
Towards Neural Machine Translation with Latent Tree Attention
James Bradbury
|
Richard Socher
|
Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings
Annette Rios Gonzales
|
Laura Mascarell
|
Rico Sennrich
|
Predicting Target Language CCG Supertags Improves Neural Machine Translation
Maria Nădejde
|
Siva Reddy
|
Rico Sennrich
|
Tomasz Dwojak
|
Marcin Junczys-Dowmunt
|
Philipp Koehn
|
Alexandra Birch
|
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning
Jan Niehues
|
Eunah Cho
|
Guiding Neural Machine Translation Decoding with External Knowledge
Rajen Chatterjee
|
Matteo Negri
|
Marco Turchi
|
Marcello Federico
|
Lucia Specia
|
Frédéric Blain
|
Extending hybrid word-character neural machine translation with multi-task learning of morphological analysis
Stig-Arne Grönroos
|
Sami Virpioja
|
Mikko Kurimo
|
Tilde’s Machine Translation Systems for WMT 2017
Mārcis Pinnis
|
Rihards Krišlauks
|
Toms Miks
|
Daiga Deksne
|
Valters Šics
|
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality Estimation
Chris Hokamp
|
Role Semantics for Better Models of Implicit Discourse Relations
Michael Roth
|
Document-Level Information as Side Constraints for Improved Neural Patent Translation
Laura Jehl
|
Stefan Riezler
|
SMT versus NMT: Preliminary comparisons for Irish
Meghan Dowling
|
Teresa Lynn
|
Alberto Poncelas
|
Andy Way
|
Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models
Henry Elder
|
Chris Hokamp
|
https://github.com/rsennrich/nematus
https://github.com/rsennrich/
https://github.com/nyu-dl/
https://github.com/rsennrich/
http://statmt.org/
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