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Tech Giant Google Tweaks Search to Throw More Relevant Results

"We're also applying BERT to make Search better for people across the world," said Google

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A man walks past a Google sign outside with a span of the Bay Bridge at rear in San Francisco, May 1, 2019. VOA

Google has announced a major update in its Search algorithms to better understand people’s queries and throw more relevant results.

By applying new neural networking techniques, Google said it can offer more relevant results for about one in 10 searches in the US in English and support for other languages and countries will come later.

The technology behind the new neural network is called “Bidirectional Encoder Representations from Transformers” (BERT) which Google first introduced last year.

“By applying BERT models to both ranking and featured snippets in Search, we’re able to do a much better job helping you find useful information,” Pandu Nayak, Google Fellow and Vice President, Search, said in a blog post on Friday.

Google sees billions of searches every day, and 15 percent of those queries are ones it has not seen before.

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FILE – A woman walks past the logo for Google at the China International Import Expo in Shanghai, Nov. 5, 2018. VOA

“When people like you or I come to Search, we aren’t always quite sure about the best way to formulate a query. We might not know the right words to use, or how to spell something, because often times, we come to Search looking to learn — we don’t necessarily have the knowledge to begin with,” Nayak explained.

BERT models can consider the full context of a word by looking at the words that come before and after it — particularly useful for understanding the intent behind search queries.

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“Some of the models we can build with BERT are so complex that they push the limits of what we can do using traditional hardware, so for the first time we’re using the latest Cloud TPUs (Tensor Processing Unit) to serve search results and get you more relevant information quickly,” said Nayak.

For longer, more conversational queries, or searches where prepositions like “for” and “to” matter a lot to the meaning, Search will be able to understand the context of the words in your query.

“We’re also applying BERT to make Search better for people across the world,” said Google. (IANS)

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Wikipedia Crosses Milestone Of Having Over 6 Million Articles in English Language

Following the English edition, which hit the five million-mark in late 2015, are the German version with about 2.3 million articles, and the French version, which has about 2.1 million articles

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Wikipedia is available in several languages, but its English version has the most number of articles. Wikimedia Commons

The world’s largest online multilingual encyclopedia, Wikipedia, has now crossed the milestone of having more than six million articles in English language.

The feat, which comes roughly 19 years after the website was founded, is a testament of “what humans can do together,” said Ryan Merkley, chief of staff at Wikimedia, the nonprofit organisation that operates the omnipresent online encyclopedia, TechCrunch reported on Friday.

The six millionth article is about Maria Elise Turner Lauder, a 19th-century Canadian school teacher, travel writer and fiction writer.

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The world’s largest online multilingual encyclopedia, Wikipedia, has now crossed the milestone of having more than six million articles in English language. Pixabay

Wikipedia is available in several languages, but its English version has the most number of articles.

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Following the English edition, which hit the five million-mark in late 2015, are the German version with about 2.3 million articles, and the French version, which has about 2.1 million articles, the report added. (IANS)