Peng‐Jen Chen

The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English

2019

Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc’Aurelio Ranzato. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on …

The <scp>Flores-101</scp> Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

2022 · Transactions of the Association for Computational Linguistics

Abstract One of the biggest challenges hindering progress in low-resource and multilingual machine translation is the lack of good evaluation benchmarks. Current evaluation benchmarks either lack good coverage of low-resource languages, consider only restricted domains, …