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	Podcast:		Linear Digressions
	Episode:		Google Neural Machine Translation
	Category:		Technology
	Duration:		00:18:12
	Publish Date:		2017-01-01 19:44:23
	Description:		Recently, Google swapped out the backend for Google Translate, moving from a statistical phrase-based method to a recurrent neural network. This marks a big change in methodology: the tried-and-true statistical translation methods that have been in use for decades are giving way to a neural net that, across the board, appears to be giving more fluent and natural-sounding translations. This episode recaps statistical phrase-based methods, digs into the RNN architecture a little bit, and recaps the impressive results that is making us all sound a little better in our non-native languages.
	Total Play:		0

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