Sep 3, 2014 ¡¤ The encoder extracts a fixed-length representation from a variable-length input sentence, and the decoder generates a correct translation from ...
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches. In Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in ...
It is shown that the neural machine translation performs relatively well on short sentences without unknown words, but its performance degrades rapidly as ...
The encoder extracts a fixed-length representation from a variable-length input sentence, and the decoder generates a correct translation from this ...
The encoder extracts a fixed-length representation from a variable-length input sentence, and the decoder generates a correct translation from this ...
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In this paper, we focus on analyzing the properties of the neural machine translation using two models; RNN Encoder–Decoder and a newly proposed gated recursive ...
On the Properties of Neural Machine Translation: Encoder--Decoder Approaches ... Machine Translation ¡¤ Translation. Datasets. Edit. Add Datasets introduced or ...
Jan 21, 2024 ¡¤ The author explains two Encoder-Decoder based approaches for the NMT task. On the high level, the encoder processes a variable-length input ( ...
Aug 28, 2019 ¡¤ The encoder extracts a fixed-length representation from a variable-length input sentence, and the decoder generates a correct translation from ...
Neural machine translation is a relatively new approach to statistical machine translation based purely on neural networks.The neural machine translation ...
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