In this exercise, I built an English-to-Portuguese neural machine ... decoder access to all parts of the input sentence (because a hidden state is produced at each timestep of the encoder). The hidden ...

To generate each part of translation, the attention mechanism tells a Neural Machine Translation model where it should pay attention to. A simple encoder-decoder model without the attention mechanism ...

First, let us understand why an Attention Mechanism made machine translation easy. Previously encoder-decoder models were used for machine translation. The encoder-decoder model contains two networks ...

Sequence-to-sequence learning is a popular technique for tasks that involve mapping one sequence of data to another, such as machine ... the encoder-decoder architecture and add an attention ...

Neural machine translation by jointly learning to align and translate. arXiv:1409.0473 (2014). [3] Cho, Kyunghyun, Aaron Courville, and Yoshua Bengio. Describing Multimedia Content using ...

Recently many studies in neural machine translation have attempted to obtain high-quality multimodal representation of encoder or decoder via attention mechanism. However, attention mechanism does not ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

Recently many studies in neural machine translation have attempted to obtain high-quality multimodal representation of encoder or decoder via attention mechanism. However, attention mechanism does not ...