Natural language processingI'm sorryNlpIt is a branch of artificial intelligence that enables computers to understand, process and generate languages like humans. The search engine, machine translation and voice assistant are all coveredTechnologySupport provided。
The working principles of the natural language processing technology andApply
Natural language processing (nlp) works: nlp adoptionMachine learningWork. Machine learning systems store words and their combinations like any other form of data. The contents of phrases, sentences and sometimes even the whole book are entered into machine learning engines, where they are dealt with using grammar rules or people's actual language habits, or both. The computer then uses these data to search for patterns and extrapolate the results. For example, translation software: in french, "i'm going to the park" is "je vais au parc," so machine learning predicts that "i'm going to the store" will also start with "je vais au."。
The operation and application of natural language processing techniques
Natural language processing (nlp) applications: machine translation is a powerful natural language processing (nlp) application, but search is the most common use. Each time people search for content in google or bing's search engine, data is entered into the system by humans. When you click the search results, the search engine interprets them to confirm that the results it finds are correct and that this information is better searched later。
Chat robots work in the same way: they are integrated with slack, microsoft messenge and other chat programs that can read people's languages and then open them when typing trigger phrases. When voice assistants like siri and alexa hear phrases like “hey, alexa”, they respond, and that's why critics accuse these artificial intelligence programs of listening: if they do not, they will never know when people need them. Unless people open the application themselves, the nlp processor must run backstage and wait for the phrase to appear。
