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7 days ago ¡¤ This paper introduces a novel neural network architecture called RNN Encoder-Decoder for improving phrase-based Statistical Machine Translation (SMT). The model ...
3 days ago ¡¤ Abstract—In this paper, we introduce a deep learning-based decoder designed for concatenated coding schemes over a deletion/substitution channel.
6 days ago ¡¤ The Encoder-Decoder architecture enabled flexible processing of these sequences, making it effective for tasks like machine translation, where input and output ...
4 days ago ¡¤ Learning phrase representations using rnn encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078, 2014. Brockman et al. [2016] ...
5 days ago ¡¤ The architecture of Transformers consists of encoder and decoder blocks, where the encoder receives the input and the decoder generates the output, although ...
17 hours ago ¡¤ Encoder-Decoder Frameworks: This architecture facilitates the translation process by encoding the input sentence and decoding it into the target language.
4 days ago ¡¤ Long short-term memory (LSTM) is a type of recurrent neural network (RNN) aimed at dealing with the vanishing gradient problem present in traditional RNNs.
5 days ago ¡¤ Learning phrase representations using RNN encoder-decoder for statistical machine translation. P. Cunningham et al. K-nearest neighbour classifiers-a ...
7 days ago ¡¤ Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014). Google Scholar. [10].
18 hours ago ¡¤ Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014). Mateus, B. C., Mendes ...
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