BERT began rolling out to Google's search system the week of October 21, 2019 for English queries, including snippets. The algorithm will expand to all languages in which Industry Email List Google offers search, but there's no set timeline yet, Google's Danny Sullivan said. A BERT model is also used to improve snippets in two dozen countries. What is BERT? BERT, which stands for Bidirectional Encoder Representations from Transformers, is a neural Industry Email List network-based technique for pre-training in natural language processing. In plain English, it can be used to help
Google better discern the context of words in search queries. For example, in the phrases "nine to five" and "a quarter to five", the word "to" has two Industry Email List different meanings, which may be obvious to humans, but Industry Email List less so to search engines. BERT is designed to distinguish between these nuances to facilitate more relevant results. Google open-sourced BERT in November 2018. This means anyone can use BERT to train their own language processing system for answering questions or for other tasks.
What is a Neural Network? Neural networks of algorithms are designed for pattern recognition, to put it very simply. Categorizing image content, recognizing handwriting, and even predicting trends in financial markets are common real-world applications Industry Email List for neural networks — not to mention research applications such as click. They train on Industry Email List data sets to recognize patterns. BERT pre-trained using Wikipedia's plain text corpus, Google explained when it open-sourced it.