NLP at Google

author: Katja Filippova, Google, Inc.
published: March 18, 2011,   recorded: September 2010,   views: 129502

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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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Reviews and comments:

Comment1 Zac, October 12, 2011 at 10:13 p.m.:

Google needs to invest in a de-esser audio filter for their microphone ;)

Comment2 Rajesh Mergu, February 8, 2012 at 8:54 a.m.:

Thanks for the video, it solved my question
Does google search use NLP?

Comment3 vs, April 28, 2012 at 11:26 a.m.:

Could provide a "Report abuse" button for the comments? The comment from PhamBaoAnh is totally irrelevant and totally inappropriate for site like this.

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Comment11 John, April 16, 2021 at 5:17 p.m.:

Now I understand why Google is using knowledge graphs and other features on its search results. Thanks for sharing this.

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Comment12 Davidson, April 29, 2021 at 12:05 p.m.:

This is a very interesting video. For me, the best thing that Google did is to have the auto-translate feature or what they call Google Translate. It is extremely helpful in a way that we can understand foreign websites by converting the content from non-English to English or vice versa. Anyway, thank you for sharing this. Cheers, Davidson - Professional Cleaner at https://www.goldcoastcommercialcleani...

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