How NLP and BERT will change the language game

Natural language processing (NLP) is the ability to extract insights from and literally understand natural language within text, audio and images. Language and text hold huge insight, and that data is often prevalent and widespread in many organizations. The ability to process language systematically, effectively and at scale lends itself to numerous applications across almost any organization with application to customer-facing products and services and customer support through to big process changes in the back office. NLP applications can apply to speech-to-text, text-to-speech, language translation, language classification and categorization, named entity recognition, language generation, automatic summarization, similarity assessment, language logic and consistency, and more. There have been a range of techniques applied to NLP, but deep learning, in particular, is showing some exceptional results. Deep learning has been applied to NLP for several years, and research and development breaks new ground so quickly that new methods and increasingly capable models are rapidly occurring.