This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text ...

Previous efforts on deep neural machine translation mainly focus on the encoder and the decoder, while little on the attention mechanism. However, the attention mechanism is of vital importance to ...

Thanks to additional training, he better defines the relationships within and between sentences. In addition, the quality of translation of articles on narrowly focused topics has increased. For ...

In a digital world where conversations are becoming shorter, faster, and more multilingual than ever, the need to rethink how we evaluate machine translation has never been greater. Arun Nedunchezhian ...

Abstract: This paper explores the role of Large Language Models (LLMs) in revolutionizing interactive Machine Translation (MT), providing a comprehensive analysis across nine innovative research ...