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Isaac Feldman

1 accepted papers

2020

Neural Machine Translation Models with Back-Translation for the Extremely Low-Resource Indigenous Language Bribri

COLING 2020main

This paper presents a neural machine translation model and dataset for the Chibchan language Bribri, with an average performance of BLEU 16.9±1.7. This was trained on an extremely small dataset (5923 Bribri-Spanish pairs), providing evidence for the applicability of NMT in extremely low-resource env…