Curriculum Learning and Minibatch Bucketing in Neural Machine Translation
July 29, 2017 ยท Declared Dead ยท ๐ Recent Advances in Natural Language Processing
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Authors
Tom Kocmi, Ondrej Bojar
arXiv ID
1707.09533
Category
cs.CL: Computation & Language
Citations
154
Venue
Recent Advances in Natural Language Processing
Last Checked
3 months ago
Abstract
We examine the effects of particular orderings of sentence pairs on the on-line training of neural machine translation (NMT). We focus on two types of such orderings: (1) ensuring that each minibatch contains sentences similar in some aspect and (2) gradual inclusion of some sentence types as the training progresses (so called "curriculum learning"). In our English-to-Czech experiments, the internal homogeneity of minibatches has no effect on the training but some of our "curricula" achieve a small improvement over the baseline.
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