GitHub - google/seq2seq: A general-purpose encoder-decoder framework for Tensorflow

https://github.com/google/seq2seq

A general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summarization, Conversational Modeling, Image Captioning, and more.

Computing numeric representations of words in a high-dimensional space - Google Inc.

http://www.freepatentsonline.com/9037464.html

United States Patent 9037464

Inventors:
Mikolov, Tomas (Jersey City, NJ, US)
Chen, Kai (San Bruno, CA, US)
Corrado, Gregory S. (San Francisco, CA, US)
Dean, Jeffrey A. (Palo Alto, CA, US)

word2vec 関連の特許。

GTC 2015 - Googleが「ディープラーニング」に対する取り組みを紹介 | マイナビニュース

http://news.mynavi.jp/articles/2015/03/20/gtc02/