So basically, Google Hummingbird turned everything about Google query interpretation upside-down. Instead of only following keyword matching, now one can use semantic search queries to search with the very intention and meaning the user wants to search. In this way, even less relevant pages, far from using specific keywords based on a full match, respond more accurately to a search query. Hummingbird can track not just the most complex queries, but also very informal ones, thereby introducing a whole new step towards voice search and natural language processing advancements. With this, there is now a transition from an understanding of language itself into a more humanised one, the finds that answer the user’s question rather than just give resulted pages containing certain words.