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Variable-Length Word Encodings for Neural Translation Models

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

Recent work in neural machine translation has shown promising performance, but the most effective architectures do not scale naturally to large vocabulary sizes. We propose and compare three variable-length encoding …...

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Reinforcement Learning based Curriculum Optimization for Neural Machine Translation

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractWe consider the problem of making efficient use of heterogeneous training data in neural machine translation (NMT). Specifically, given a training dataset with a sentence-level feature such as noise, we …...

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