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Precision technology Google's speech-recognition increased by 30% since 2012

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2012 precision technology Google's speech-recognition increased by 30%. About it said a leading software engineer Jeff Dean at the conference Frontiers of AI, which takes place in California.

So a significant progress in technology has been achieved by adding a neural networks – systems that Google uses as part of machine learning. The mass application of neural networks to speech recognition was developed by a company in 2012.

In 2015 the head of Google, Sundar Pichai said that the error rate in speech recognition is 8%. For comparison, in September 2016 Microsoft managed to reduce this indicator to a record of 6.3%.

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URL parameters of the Google search engine results page
There is a possibility to adjust the results for the base query (which corresponds to the value of the parameter q or as_q ) using a number of get-parameters of the format variable=value used in the URL of the page of search results after the substring /search? . The use of these parameters can be very useful when parsing search results.
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