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A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output
Xing Niu
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Marianna Martindale
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Marine Carpuat
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
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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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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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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Embedding Register-Aware MT into the CAT Workflow
Corey Miller
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Danielle Silverman
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Vanesa Jurica
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Elizabeth Richerson
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Rodney Morris
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Elisabeth Mallard
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Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity
Glorianna Jagfeld
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Sabrina Jenne
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Ngoc Thang Vu
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https://catalog.ldc.upenn.edu/
https://talkbank.org/access/CABank/
http://www.statmt.org/moses/?n=Moses
https://github.com/moses-smt/
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Machine Translation
Language
Chinese
English
French
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