Abstract: Machine Translation Quality Estimation (MTQE) is pivotal in bridging the gap between machine-generated translations and human translation quality, especially in real-time applications where ...
Abstract: In current Neural Machine Translation (NMT) research, translating low-resource language pairs remains a significant challenge. This work proposes an LGE-Transformer method for Chinese-Malay ...
This is the official repository for the paper "Test-Time Scaling of Reasoning Models for Machine Translation" accepted at EACL 2026. Test-time scaling (TTS) has enhanced the performance of Reasoning ...
A comprehensive neural machine translation system built with state-of-the-art transformer models from Hugging Face. This project provides high-quality translations between multiple language pairs with ...
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