Notifications You must be signed in to change notification settings Using encoder decoder RNN model to tokenize input text in English language and translate it into French. Encoder model to generate a ...

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, ...

The model uses an encoder to process the English input sequence and a decoder to generate the French translation. It is designed for tasks like language translation, where sequences of variable ...

Aiming for this problem, Tu et al. (2017) proposed a ‘encoder-decoder reconstructor framework’ for NMT, which used back-translation to improve the translation accuracy. This paper is the ...

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 ...

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...