GitHub

sujeets2330/-Machine-Translation-using-Encoder-Decoder-Architecture

A deep learning-based Machine Translation system that translates text from one language to another using an Encoder-Decoder architecture with attention mechanism. Built using TensorFlow, Keras, and ...
GitHub

godfreypurification7/Encoder-Decoder-Neural-Machine-Learning-Language-Translation

The Encoder‑Decoder Neural Machine Learning Language Translation repository appears to implement a classical neural‑machine translation (NMT) model using the “encoder-decoder” (seq2seq) architecture.
IEEE

Encoder–Decoder Calibration for Multimodal Machine Translation

The main purpose of multimodal machine translation (MMT) is to improve the quality of translation results by taking the corresponding visual context as an additional inpu...Show More The main purpose ...
Europe PMC

Multilingual Machine Translation with Quantum Encoder Decoder Attention-based Convolutional Variational Circuits

Cloud-based multilingual translation services like Google Translate and Microsoft Translator achieve state-of-the-art translation capabilities. These services inherently use large multilingual ...
inc42

What Is Encoder-Decoder Architecture? Here’s All You Need to Know

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 ...
IEEE

Encoder–Decoder Calibration for Multimodal Machine Translation

Impact Statement: In machine translation, the translation accuracy of the model can be enhanced by adding image information related to the text. As there is a modal gap between images and texts, how ...