Application of natural language processing in foreign language artificial intelligence translation system

Natural language processing (NLP) technology in foreign language translation systems is an important subject in computer science. However, due to the high complexity of NLP, the logical method of symbolic modeling is relatively difficult to achieve the expected progress. With the development of AI technology, especially the application of machine learning, there are better solutions to complex rules and illogical strictness. However, the traditional foreign language translation system is still unable to translate obscure sentences completely. The new translation system has significantly improved compared with the traditional model in terms of format conversion rate, language modification effect, translation accuracy, speed of translation, and translation quality. In a word, NLP technology plays an important role in foreign language translation systems.