UniNMT In this paper, we propose a new universal machine translation approach focusing on languages with a limited amount of parallel data. Our proposed approach utilizes a transfer-learning approach ...

Abstract: In the Neural Machine Translation (NMT) process, each translation task is processed by a model designed to generate accurate, context-sensitive translations. This involves analyzing the ...

@article{wang2025deeptrans, title={Deep Reasoning Translation via Reinforcement Learning}, author={Wang, Jiaan and Meng, Fandong and Zhou, Jie}, journal={arXiv ...

All the features in macOS 26 Tahoe, compatibility, problems, what's in macOS 26.2, and what's coming in macOS 26.3.

This study compares the quality of English-to-Arabic translations produced by Google Translate (GT) with those generated by student translators. Despite advancements in neural machine translation ...

Monolingual data have been demonstrated to be helpful in improving translation quality of both statistical machine translation (SMT) systems and neural machine translation (NMT) systems, especially in ...

1 Department of Languages and Translation, Taiz University, Taiz, Yemen 2 Department of Languages and Translation, Taibah University, Madina, Saudi Arabia Introduction: Post-editing plays a crucial ...

ABSTRACT: The deluge of digital information in Liberia necessitates efficient content consumption. LbrBart, a proposed text summarization tool, is specifically designed to cater to the needs of ...