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1902.09508
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Improving Robustness of Machine Translation with Synthetic Noise
25 February 2019
Vaibhav
Sumeet Singh
Craig Alan Stewart
Graham Neubig
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Papers citing
"Improving Robustness of Machine Translation with Synthetic Noise"
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Title
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Did Translation Models Get More Robust Without Anyone Even Noticing?
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219
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Language and Speech Technology for Central Kurdish Varieties
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Machine Translation Models Stand Strong in the Face of Adversarial Attacks
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Improving the Robustness of Summarization Models by Detecting and Removing Input Noise
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Agathe Balayn
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273
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Checks and Strategies for Enabling Code-Switched Machine Translation
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156
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vec2text with Round-Trip Translations
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PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation
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169
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432
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164
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Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models
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104
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Data Augmentation Methods for Anaphoric Zero Pronouns
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Massimo Poesio
131
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Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise
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Rico Sennrich
208
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Secoco: Self-Correcting Encoding for Neural Machine Translation
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Mingxuan Wang
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Hang Li
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A Survey of Data Augmentation Approaches for NLP
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Shafiq Joty
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Robust Open-Vocabulary Translation from Visual Text Representations
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Elizabeth Salesky
David Etter
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307
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Sometimes We Want Translationese
Prasanna Parthasarathi
Koustuv Sinha
J. Pineau
Adina Williams
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197
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Deyi Xiong
146
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Visual Cues and Error Correction for Translation Robustness
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Marek Rei
Lucia Specia
196
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Synthetic Source Language Augmentation for Colloquial Neural Machine Translation
Asrul Sani Ariesandy
Mukhlis Amien
Alham Fikri Aji
Radityo Eko Prasojo
86
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109
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Word Shape Matters: Robust Machine Translation with Visual Embedding
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331
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Evaluating Robustness to Input Perturbations for Neural Machine Translation
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198
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101
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Neural Machine Translation: A Review and Survey
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Character-based NMT with Transformer
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Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness
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Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness Task
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Findings of the First Shared Task on Machine Translation Robustness
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Paul Michel
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171
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103
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Renjie Zheng
Hairong Liu
Mingbo Ma
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189
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An Analysis of Source-Side Grammatical Errors in NMT
Antonios Anastasopoulos
84
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Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation
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122
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