Processing human conversation into something that machines can understand is challenging. Even today, with all the technology that's available, natural language processing is still a big challenge. Google has been in the business of natural language processing since day one, through Google Search. Google Search is all about natural language processing, where keywords or phrases are converted into meaningful machine-understandable forms, and then the backend server returns search query results to the user. Similarly, Dialogflow takes care of all the complexities of machine learning behind the scenes to process natural language and even add artificial intelligence to train data so that machines can become smarter over time. For example, whenever a user speaks, their voice is transcribed and then processed by Dialogflow and then matched against...
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