Practical Comparable Data Collection for Low-Resource Languages via Images

24 Apr 2020Aman MadaanShruti RijhwaniAntonios AnastasopoulosYiming YangGraham Neubig

We propose a method of curating high-quality comparable training data for low-resource languages with monolingual annotators. Our method involves using a carefully selected set of images as a pivot between the source and target languages by getting captions for such images in both languages independently... (read more)

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