- An encoder LSTM turns input sequences to 2 state vectors (we keep the last LSTM state and discard the outputs). - A decoder LSTM is trained to turn the target sequences into the same sequence but ...

Developed a machine translation model using encoder-decoder architecture with LSTM layers. Imported and preprocessed text data, building and configuring models using Keras for Spanish-English ...

Conclusion In this paper, the newly proposed encoder-decoder reconstructor framework is analyzed on English-Japanese translation tasks. It points out that the encoder-decoder-reconstructor offers ...

Specifically, we augment the pretrained multilingual encoder with a decoder and pre-train it in a self-supervised way. To take advantage of both the large-scale monolingual data and bilingual data, we ...

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 input. Recently many studies in ...