  We present the first neural machine translation system for translation
between the endangered Erzya language and Russian and the dataset collected by
us to train and evaluate it. The BLEU scores are 17 and 19 for translation to
Erzya and Russian respectively, and more than half of the translations are
rated as acceptable by native speakers. We also adapt our model to translate
between Erzya and 10 other languages, but without additional parallel data, the
quality on these directions remains low. We release the translation models
along with the collected text corpus, a new language identification model, and
a multilingual sentence encoder adapted for the Erzya language. These resources
will be available at https://github.com/slone-nlp/myv-nmt.
