Recently, Google made the following major announcement on Twitter about BERT (Bi-directional Encoder Representations from Transformers). Read their blog link...

Google adopts BERT         6
GOOGLE ADOPTS BERT
Table of Contents
Google BERT    3
Improved Google’s Algorithm    3
Impact on the Client Website    3
Optimization of Searching    4
Question    4
References    6
Google BERT
BERT is Bidirectional Encoder Representations from Transformers that leverages machine learning. BERT is a neutral network-based technique for natural language processing to better understand the context of a search query.
Improved Google’s Algorithm
The BERT update has affected Google's algorithm of understanding natural language processing. More specifically, it allows Google to comprehend the context of what is being searched in the search engine. It also ensures understanding the nuances of the daily languages used by humans. The aspect of bird enhances Google's self-learning and the algorithm can better comprehend the complex phrases and different word uses that are provided for searching.
For example, when a word like “stand” is mentioned, it can present a food stand, taking a stand or standing up, or the meaning of the stand itself. All of these use the same word but have different meanings which can be now better understood by Google (Krauze, 2020). This...