Facebook Research: Low Resource Neural Machine Translation

Research proposals on low-resource Neural Machine Translation. Applicants for the grants will be expected to contribute to the field of low-resource NMT through research into novel, strongly performing models under low-resource training conditions and/or comparable corpora mining techniques for low-resource language pairs.

Research topics should be relevant to low resource neural machine translation, including, but not limited to:

-Unsupervised Neural Machine Translation for low resource language pairs

-Comparable corpora mining for low resource language pairs

-Exploiting monolingual resources for low resource language pairs

Funding: $20,000 to $40,000 for up to 1 year .

https://research.fb.com/programs/research-awards/proposals/low-resource-neural-machine-translation/