adaptNMT: an open-source, language-agnostic development environment for neural machine translation
ACL 2022 highlights: From unified-modal encoder-decoder to neural machine translation - Microsoft Research
Unsupervised MT: fast and accurate for more languages - Engineering at Meta
Advanced Prompt Engineering - by Cameron R. Wolfe, Ph.D.
The State of Multilingual AI
PDF] The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
Philipp Koehn - Neural Machine Translation-Cambridge University Press (2020), PDF, Grammatical Gender
adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation
PDF) Towards a Better Integration of Fuzzy Matches in Neural Machine Translation through Data Augmentation
Natural language processing: state of the art, current trends and challenges
Information, Free Full-Text