Natural Language Processing (NLP) aims to analyze, understand, and generate languages that humans use naturally. Signi\ufb01cant progress in NLP has been achieved in recent years, addressing important and practical real-world problems, and enabling mass deployment of large-scale systems. New machine learning paradigms such as deep learning and continuous space methods have contributed to inferring language patterns from increasingly large real-world data and to making predictions about new data more accurate.<\/p>\n","protected":false},"excerpt":{"rendered":"
Natural Language Processing (NLP) aims to analyze, understand, and generate languages that humans use naturally. Signi\ufb01cant progress in NLP has been achieved in recent years, addressing important and practical real-world problems, and enabling mass deployment of large-scale systems. 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