Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English

arXiv: Computation and Language, 2019.

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Abstract:

The vast majority of language pairs in the world are low-resource because they have little, if any, parallel data available. Unfortunately, machine translation (MT) systems do not currently work well in this setting. Besides the technical challenges of learning with limited supervision, there is also another challenge: it is very difficul...More

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