Google Bert -close the language divide

To offer its global audience relevant and useful information from search results, Google, the most popular internet search engine in the world, makes changes in its search engine algorithm at regular intervals. If we study Google’s algorithm update history, we will find that they roll out several updates in a month and multiple times in a year.

SEO is a continuous process. Google search engine spiders crawl and discover new webpages 24/7. Whatever action we will take today, will reflect on the rank and the traffic of the website down the road. Regular updates maintain excellent online advertising and search services and offer new ranking opportunities. Best SEO Company India should comply with the Google algorithm updates for maintaining their position on SERP’s.

Bert Update lays stress on linguistic nuance and content quality

Google’s Bert is the latest algorithm update of Google which impacts around 10% of all search queries. Bert stands for Bidirectional Encoder Representation from Transformers, a deep learning algorithm, where the search engine will understand the content of all the words in your query. Bert emphasizes linguistic nuance and content quality. Application of conversational queries or phrases such as prepositions “to” or “for” matter a  lot in the sentence. With this update, users will search in a way that will appear natural for them. Bert Update will assist in bridging the language divide, ensure the best result for searchers across the world and will make Google smarter.

Bert shares some similarity to the Rank brain which uses machine Artificial Intelligence (AI) and machine learning to rank websites. It analyzes search queries and the user intent behind it. Google has made sure that the search results are more helpful and relevant for the users.

Google will be able to understand the content in one language and apply them to the another. For example, prepositions learned in English can be easily translated into conjunctions in French. With this update, Google can better understand and interpret the semantics of long term searches. Further, it ensures a better understanding of language across language barriers.

Bert search update will impact about 10% of all search queries

Whether you run an eCommerce store, a B2B brand or an online magazine store, Bert update will impact 10% of all search queries. It utilizes learning to understand queries from a contextual standpoint. With this update, the leading search engine will be able to understand language and idiosyncrasies to offer better search results to users.

Bert assists in training natural language processing systems and transforms it into a state of the art question answering system. Both featured snippets and organic results will get impacted by this update. It makes changes in current rankings to better fit with user intent and contextual relevance. Google uses the latest custom-developed cloud tensor processing units to offer useful and relevant results to the user. Bret update will impact complicated searches that rely on context.

Bert emphasizes on individual words while reading on entire sentence

Bert processes words in relation to other words in a sentence. Previously, Google read sentences on a word by word basis. With this update, it started reading an entire sentence while looking at the individual words within that sentence. Google also started understanding those words related to other words in the sentence. We can explain this with an example: Previously, Google didn’t understand clearly the search query “ 2019 Brazilian traveller to USA need a Visa” and showed results about US citizens travelling to Brazil. Now with BERT update, the query is about a Brazilian who wants to visit US and can display search results based on that. In this search query, the position of the word “to” is very important.

Google utilizes machine learning to handle conversationally phrased English language searches. With the application of BERT models, Google can find better information for the users. It considers the full context of a world by looking at words before and after it and will improve 1 in 10 searches in the USA. It is the biggest leap forward in the last five years which seeks to understand query words in the context of sentences for insights.