We present an open-source toolkit for neural machine translation (NMT). The new toolkit is mainly based on vaulted Transformer (Vaswani et al., 2017) along with many other improvements detailed below, in order to create a self-contained, simple to use, consistent and comprehensive framework for Machine Translation tasks of various domains. It is tooled to support both bilingual and multilingual translation tasks, starting from building the model from respective corpora, to inferring new predictions or packaging the model to serving-capable JIT format.
@article{arxiv.2112.15272,
title = {ViNMT: Neural Machine Translation Toolkit},
author = {Nguyen Hoang Quan and Nguyen Thanh Dat and Nguyen Hoang Minh Cong and Nguyen Van Vinh and Ngo Thi Vinh and Nguyen Phuong Thai and Tran Hong Viet},
journal= {arXiv preprint arXiv:2112.15272},
year = {2022}
}