Recommending the Workflow of Vietnamese Sign Language Translation via a Comparison of Several Classification Algorithms
Computational Linguistics · PACLING 2019, Communications in Computer and Information Science, vol. 1215 · pp. 134–141
PACLING 2019 proceedings chapter, published in 2020.
Overview
Evaluates classification methods within a Vietnamese Sign Language translation pipeline, focusing on the mapping from written Vietnamese to written sign-language sentences. The study informs model selection for preserving semantic content before visual gesture generation.
Cite this work
@inproceedings{quach2020vsl,
title = {{Recommending the Workflow of Vietnamese Sign Language Translation via a Comparison of Several Classification Algorithms}},
author = {Quach, Luyl-Da and Duong-Trung, Nghia and Vu, Anh-Van and Nguyen, Chi-Ngon},
year = {2020},
booktitle = {Computational Linguistics · PACLING 2019, Communications in Computer and Information Science, vol. 1215},
pages = {134--141},
doi = {10.1007/978-981-15-6168-9_12},
url = {https://link.springer.com/chapter/10.1007/978-981-15-6168-9_12}
}