Curriculum Learning and Minibatch Bucketing in Neural Machine Translation

Tom Kocmi; Ondrej Bojar

doi:10.26615/978-954-452-049-6_050

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arXiv · 1707.09533

Curriculum Learning and Minibatch Bucketing in Neural Machine Translation

Tom Kocmi·Ondrej Bojar

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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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Tom Kocmi, Ondrej Bojar. 2017-07-29. Curriculum Learning and Minibatch Bucketing in Neural Machine Translation. https://doi.org/10.26615/978-954-452-049-6_050

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