Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation

Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation Alexandra Chronopoulou author Dario Stojanovski author Alexander Fraser author 2021-06 text Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Kristina Toutanova editor Anna Rumshisky editor Luke Zettlemoyer editor Dilek Hakkani-Tur editor Iz Beltagy editor Steven Bethard editor Ryan Cotterell editor Tanmoy Chakraborty editor Yichao Zhou editor Association for Computational Linguistics Online conference publication chronopoulou-etal-2021-improving 10.18653/v1/2021.naacl-main.16 https://aclanthology.org/2021.naacl-main.16/ 2021-06 173 180