[HTML][HTML] A non-autoregressive Chinese-Braille translation approach with CTC loss optimization

H Yu, W Su, Y Yang, Y Yuan, Y **e, T Huang - Expert Systems with …, 2025 - Elsevier
Abstract The rise of Neural Machine Translation (NMT) models opens doors for translating
Chinese text into Braille, improving information access for visually impaired individuals …

Application of Minimax Optimization Mechanism in Chinese-English Machine Translation Quality Estimation

X Zhang - IEEE Access, 2025 - ieeexplore.ieee.org
Machine Translation Quality Estimation (MTQE) is pivotal in bridging the gap between
machine-generated translations and human translation quality, especially in real-time …

Enhancing Neural Machine Translation Model for Low-Resource Languages: A Case Study of Indonesian to Mamuju

Y Yuyun, E Prakasa, MT Uliniansyah… - Available at SSRN …, 2024 - papers.ssrn.com
Abstract Machine translation models have increased since the introduction of neural
machine translation (NMT). However, no research has concentrated on languages with …

Extensive examination of hyper-parameters setting using neural-based methods for limited resources language: Nyishi-English

N Kakum, K Sambyo - International Journal of Information Technology, 2024 - Springer
Taking advantage of the enormous advancement of the transformer model using a neural-
based approach for text translation, we extent another research project into the extremely …

A Baseline System for Khasi and Assamese Bidirectional NMT with Zero available Parallel Data: Dataset Creation and System Development

K Kashyap, K Talukdar, MA Ahmed… - Proceedings of the 20th …, 2023 - aclanthology.org
In this work we have tried to build a baseline Neural Machine Translation system for Khasi
and Assamese in both directions. Both the languages are considered as low-resourced Indic …