The objective of this project is to train a seq2seq model (an encoder-decoder ... useful for machine translation, we have pre-processed the data using the following steps: Splitting each line to only ...

Machine Translation ... encodes the input sentence into a fixed-length vector. The decoder is another LSTM network, which decodes the encoded vector into the output sentence. The attention mechanism ...

Paper topics cover a range of subjects, including: encoder ... decoder-pre-training-for-spoken-language-processing/ Encoder-decoder frameworks are widely used in natural language processing and speech ...

Abstract: This work contributes to the quality evaluation of Machine Translation between Myanmar and Wa and provides the research on Long Short-Term Memory (LSTM)-based Deep Learning encoder-decoder ...