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Transfer Learning for Low-Resource Neural Machine Translation
Barret Zoph
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Deniz Yuret
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Jonathan May
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Kevin Knight
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran
|
Peter Liu
|
Quoc Le
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Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
David Golub
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Po-Sen Huang
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Xiaodong He
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Li Deng
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Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation
Toan Q. Nguyen
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David Chiang
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Improving a Multi-Source Neural Machine Translation Model with Corpus Extension for Low-Resource Languages
Gyu-Hyeon Choi
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Jong-Hun Shin
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Young-Kil Kim
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An Interpretable Knowledge Transfer Model for Knowledge Base Completion
Qizhe Xie
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Xuezhe Ma
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Zihang Dai
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Eduard Hovy
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A Teacher-Student Framework for Zero-Resource Neural Machine Translation
Yun Chen
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Yang Liu
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Yong Cheng
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Victor O.K. Li
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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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Japanese Text Normalization with Encoder-Decoder Model
Taishi Ikeda
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Hiroyuki Shindo
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Yuji Matsumoto
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Neural Paraphrase Generation using Transfer Learning
Florin Brad
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Traian Rebedea
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A BiLSTM-based System for Cross-lingual Pronoun Prediction
Sara Stymne
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Sharid Loáiciga
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Fabienne Cap
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An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine Translation
Raj Dabre
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Tetsuji Nakagawa
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Hideto Kazawa
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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Approach
Deep Learning
Language
Chinese
English
Urdu
Spanish
French
Low-Resource Languages
Child Language
Dataset
Child Language
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