You can safely ask the search engine how to

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Google has already learned to process natural sentences more or less well using the Kolibri algorithm .cook borscht, where to have a date in Moscow and what are the benefits of walking in the park. But problems remained. Firstly , it is still unclear what to do with homonymous words. If you want to make a braid to get rid of grass at your dacha, you will either have to learn how to braid braids or use a different verb: You can, of course, learn to braid hair, but that won't make the grass in your garden disappear.


Moreover, the query "how to make a braid for the garden" will not work either. hong kong consumer email list Google will show hairstyles again, but this time for children: Secondly , it is still difficult for a search engine to interpret long phrases with prepositions. Especially if these prepositions change the meaning of the query. In English, the greatest difficulties arise with for and to, in Russian – with the preposition "without".


Read also SEO in 2020: Trends, Expectations, Hopes and Action Guide To the query “how to park on a road without a curb,” Google will answer like this: The search engine is confident that BERT will solve these problems. The machine learning algorithm developed by Google understands not the context of individual words, but entire phrases. The neural network learns: determine the meaning of each word with maximum accuracy, based on the context of the phrase; correctly interpret long phrases with prepositions on which the meaning of the request depends; generate Featured Snippets (see below) that provide the most accurate answer to the user's question.