{"id":47753,"date":"2023-04-07T15:39:41","date_gmt":"2023-04-07T15:39:41","guid":{"rendered":"https:\/\/www.arimetrics.com\/glosario-digital\/google-bert"},"modified":"2024-11-01T11:02:54","modified_gmt":"2024-11-01T11:02:54","slug":"google-bert","status":"publish","type":"encyclopedia","link":"https:\/\/www.arimetrics.com\/en\/digital-glossary\/google-bert","title":{"rendered":"Google BERT"},"content":{"rendered":"<p><strong>Definition<img decoding=\"async\" class=\"boxpad alignright wp-image-47978 size-full\" src=\"https:\/\/www.arimetrics.com\/wp-content\/uploads\/2023\/04\/google-bert-1.jpg\" alt=\"google-bert\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.arimetrics.com\/wp-content\/uploads\/2023\/04\/google-bert-1.jpg 300w, https:\/\/www.arimetrics.com\/wp-content\/uploads\/2023\/04\/google-bert-1-150x150.jpg 150w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/strong><\/p>\n<p><strong>Google BERT<\/strong> (Bidirectional Encoder Representations from Transformers) is a language model based on the Transformer architecture developed by <a href=\"https:\/\/www.arimetrics.com\/en\/google-ads-agency-spain\">Google<\/a> in 2018. BERT is a <strong>natural language processing (NLP) technique<\/strong> that uses a two-way approach to understanding the context of words in a text. What makes BERT very powerful is its ability to process language bidirectionally, meaning it can read text from left to right and right to left. This allows BERT to understand the relationship between words in a sentence and how they modify the meaning of other words nearby.<\/p>\n\n<h2>How Google BERT works<\/h2>\n<p>Instead of parsing words in a left-to-right or right-to-left sequence, BERT <strong>reads words in both directions,<\/strong> <strong>allowing you to better capture the context<\/strong> in which they are used. This contextual understanding capability significantly improves performance in NLP tasks such as text classification, machine translation, answering questions, and detecting named entities.<\/p>\n<h2>What is Google BERT for?<\/h2>\n<p>In 2019, <a href=\"https:\/\/www.arimetrics.com\/en\/digital-glossary\/google\">Google<\/a> announced that it was using BERT in its search algorithm <strong>to improve natural language understanding and provide more relevant search results.<\/strong> The inclusion of BERT in Google&#8217;s search <a href=\"https:\/\/www.arimetrics.com\/en\/digital-glossary\/algorithm\">algorithm<\/a> has improved the search engine&#8217;s ability to interpret complex queries and understand user intent, especially in natural language queries and context-dependent queries.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Definition Google BERT (Bidirectional Encoder Representations from Transformers) is a language model based on the Transformer architecture developed by Google in 2018. BERT is a natural language processing (NLP) technique that uses a two-way approach to understanding the context of words in a text. What makes BERT very powerful is its ability to process language [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"template":"","encyclopedia-tag":[481,327],"class_list":["post-47753","encyclopedia","type-encyclopedia","status-publish","hentry","encyclopedia-tag-google-en","encyclopedia-tag-language"],"_links":{"self":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia\/47753","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia"}],"about":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/types\/encyclopedia"}],"author":[{"embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/users\/6"}],"wp:attachment":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/media?parent=47753"}],"wp:term":[{"taxonomy":"encyclopedia-tag","embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia-tag?post=47753"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}