Actualités
Encoder-Decoder with Attention is a well-known architecture for machine translation, although it has become somewhat outdated with the rise of the powerful Transformer architecture.. However, it is ...
This repository showcases an advanced implementation of a Neural Machine Translation (NMT) model using the Encoder-Decoder architecture with Long Short-Term Memory (LSTM) networks. The model is ...
Smooth language translation is becoming more and more important in today's globalized society as it promotes efficient communication, knowledge sharing, and intercultural understanding. The study ...
Table 1: Examples of outputs of English-Japanese translation. Table 2: English-Japanese translation results Table 3: Japanese-English translation results. The results show that the new encoder-decoder ...
The Human Machine Translation (HMT) struggles to understand context of sentence, tone and nuance which leading to inaccurate translations for conveying original text. Hence, this research proposes ...
The encoder-decoder architecture can be applied to a host of problems : Machine Translation (translating English to French) Modeling a long conversation; Image-to-text conversion (captioning) Gesture ...
Certains résultats ont été masqués, car ils peuvent vous être inaccessibles.
Afficher les résultats inaccessibles