NLP at Google
published: March 18, 2011, recorded: September 2010, views: 129487
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Google's mission is to "organize the world's information and make it universally accessible and useful". In the first place this implies understanding and processing the vast amounts of natural language data available on the web -- news, (video-) blogs, books, forums -- all kinds of text and speech in many languages. This talk consists of two parts: The first part will be an overview of a variety of NLP problems solved at Google on a daily basis, such as machine translation, speech recognition, information extraction. In the second part I will consider the task of text summarization in more detail and will present a graph-based method of multi-document news summarization and a way of summarizing video content by looking at users' comments.
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