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20172022
most citedCurriculum Learning for Domain Adaptation in Neural Machine Translation

6 citations · 7 across the 4 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.CL2019★ 6 cited

Curriculum Learning for Domain Adaptation in Neural Machine Translation

Xuan Zhang, Pamela Shapiro, Gaurav Kumar +3

We introduce a curriculum learning approach to adapt generic neural machine translation models to a specific domain. Samples are grouped by their similarities to the domain of inte…

cs.CL2019★ 1 cited

Reinforcement Learning based Curriculum Optimization for Neural Machine Translation

Gaurav Kumar, George Foster, Colin Cherry +1

We 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 fea…