1 A study of data augmentation and accuracy improvement in machine translation for Vietnamese sign language / Thi Bich Diep Nguyen, Trung Nghia Phung, Tat Thang Vu // .- 2023 .- Tập 39 - Số 2 .- P. 143-158 .- 005

In this paper, we experimented with and proposed several methods for building and improving models for the VL to VSL translation task. We presented a data augmentation method to improve the performance of our neural machine translation models. Using an initial dataset of 10k bilingual sentence pairs, we were able to obtain a new dataset of 60k sentence pairs with a perplexity score no more than 1.5 times that of the original dataset.