Google BERT Explained
What does Google BERT stand for? Google BERT (Bidirectional Encoder Representations from Transformers) is a state-of-the-art natural language processing (NLP) pre-training model developed by Google Research. It is trained on a large corpus of text and then fine-tuned for a specific NLP task, such as question answering, sentiment analysis, or text classification. What is Google BERT? Google made an announcement on October 25, 2019 that they had initiated the usage of BERT models for English language search queries in the US. By December 9, 2019, BERT had already been incorporated into Google Search for over 70 languages. By October of the following year, almost every English-based search query was handled by a BERT model. BERT represents a significant breakthrough in NLP, allowing for much better understanding of the context and meaning of words in a sentence. Unlike traditional NLP models, BERT is bidirectional, meaning it takes into account both the left and right context of a w...