Natural Language Processing Is Hitting Its Stride

Natural language processing is a type of artificial intelligence in which computational and mathematical methods are used to analyze the human language. NPL's goal for end users is to facilitate interactions with computers using conversational language. Subtopics in this genre include natural language understanding, which is about understanding the inputs created by humans, and natural language generation, which focuses on generating natural language narratives. The most popular approaches to NLP use machine learning, said Adrian Bowles, vice president of Research and lead analyst at Aragon Research. "At the most advanced levels in the research labs today, we see applications or systems like Google Duplex, which can act as an agent to perform tasks like scheduling haircuts over the phone by engaging with humans, or IBM's Debater, which can detect patterns of logical arguments in free form text and construct a coherent and novel narrative position statement."