Sep 1, 2014 ¡¤ The neural machine translation aims at building a single neural network that can be jointly tuned to maximize the translation performance.

May 19, 2016 ¡¤ In this paper, we show that the proposed approach of jointly learning to align and translate achieves significantly improved translation ...

This work investigates the concept of simply concatenating the source and target sentences and training a language model to do translation for machine ...

Oct 15, 2021 ¡¤ The model takes a source sentence of 1-of-K coded word vectors as input,. And outputs a translated sentence of 1-of-K coded word vectors.

Sep 1, 2014 ¡¤ The neural machine translation aims at building a single neural network that can be jointly tuned to maximize the translation performance.

Mar 29, 2019 ¡¤ Bibliographic details on Neural Machine Translation by Jointly Learning to Align and Translate.

Bahdanau, D., Cho, K., & Bengio, Y. (2014). Neural machine translation by jointly learning to align and translate. arXiv, Article 1409.0473. Neural machine ...

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText. - pytorch-seq2seq/3 - Neural Machine Translation by ...

Sep 1, 2024 ¡¤ The paper introduces an innovative approach to neural machine translation (NMT) that aims to improve the translation of long sentences.

Jan 1, 2015 ¡¤ The neural machine translation aims at building a single neural network that can be jointly tuned to maximize the translation performance.