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Controlling Politeness in Neural Machine Translation via Side Constraints
Rico Sennrich
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Barry Haddow
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Alexandra Birch
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
Multi-Task Neural Models for Translating Between Styles Within and Across Languages
Xing Niu
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Sudha Rao
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Marine Carpuat
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A Survey of Domain Adaptation for Neural Machine Translation
Chenhui Chu
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Rui Wang
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Controlling Output Length in Neural Encoder-Decoders
Yuta Kikuchi
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Graham Neubig
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Ryohei Sasano
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Hiroya Takamura
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Manabu Okumura
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Getting Gender Right in Neural Machine Translation
Eva Vanmassenhove
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Christian Hardmeier
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Andy Way
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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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Improving Japanese-to-English Neural Machine Translation by Voice Prediction
Hayahide Yamagishi
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Shin Kanouchi
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Takayuki Sato
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Mamoru Komachi
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Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer
Sudha Rao
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Joel Tetreault
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Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
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John Wieting
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Kevin Gimpel
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Luke Zettlemoyer
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Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction
Chunting Zhou
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Graham Neubig
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An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation
Chenhui Chu
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Raj Dabre
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Sadao Kurohashi
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Style Transfer Through Back-Translation
Shrimai Prabhumoye
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Yulia Tsvetkov
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Ruslan Salakhutdinov
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Alan W Black
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Unsupervised Learning of Style-sensitive Word Vectors
Reina Akama
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Kento Watanabe
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Sho Yokoi
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Sosuke Kobayashi
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Kentaro Inui
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Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson
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Mike Schuster
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Quoc V. Le
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Maxim Krikun
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Yonghui Wu
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Zhifeng Chen
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Nikhil Thorat
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Fernanda Viégas
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Martin Wattenberg
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Greg Corrado
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Macduff Hughes
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Jeffrey Dean
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Polite Dialogue Generation Without Parallel Data
Tong Niu
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Mohit Bansal
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Domain Control for Neural Machine Translation
Catherine Kobus
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Josep Crego
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Jean Senellart
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Improved Neural Machine Translation using Side Information
Cong Duy Vu Hoang
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Gholamreza Haffari
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Trevor Cohn
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Controlling the Voice of a Sentence in Japanese-to-English Neural Machine Translation
Hayahide Yamagishi
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Shin Kanouchi
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Takayuki Sato
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Mamoru Komachi
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Stylistic Transfer in Natural Language Generation Systems Using Recurrent Neural Networks
Jad Kabbara
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Jackie Chi Kit Cheung
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Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models
Harsh Jhamtani
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Varun Gangal
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Eduard Hovy
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Eric Nyberg
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Controlling Linguistic Style Aspects in Neural Language Generation
Jessica Ficler
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Yoav Goldberg
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Controlling Target Features in Neural Machine Translation via Prefix Constraints
Shunsuke Takeno
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Masaaki Nagata
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Kazuhide Yamamoto
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Document-Level Information as Side Constraints for Improved Neural Patent Translation
Laura Jehl
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Stefan Riezler
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Controllable Abstractive Summarization
Angela Fan
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David Grangier
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Michael Auli
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DFKI-MLT System Description for the WMT18 Automatic Post-editing Task
Daria Pylypenko
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Raphael Rubino
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Automatic Evaluation of Neural Personality-based Chatbots
Yujie Xing
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Raquel Fernández
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Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs
Juraj Juraska
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Marilyn Walker
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http://www.opensubtitles.org
Field Of Study
Linguistic Trends
Discourse
Task
Machine Translation
Language
English
Japanese
French
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