FLoRes (Facebook Low Resource MT Benchmark)
Introduced by Guzm{\'a}n et al. in The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali--English and Sinhala--English
FLoRes is a benchmark dataset for machine translation between English and four low-resource languages, Nepali, Sinhala, Khmer, and Pashto, based on sentences translated from Wikipedia. The FLoRes project has two versions: FLoRes-101 and FLoRes-200.
-
FLoRes-101: This was the first version of the dataset. It allowed researchers to measure the quality of translations through 10,100 different translation directions.
-
FLoRes-200: This is an updated version of the dataset. It doubles the existing language coverage of FLoRes-101. Given the nature of the new languages, which have less standardization and require more specialized professional translations, the verification process became more complex.
Papers
| Paper | Code | Results | Date | Stars |
|---|
