Understanding the Blackbox of Natural Language Processing (NLP)

Artificial Intelligence innovation is stead fasting its progress across two segments, first, one being computer vision that has very nice applications of its own, the second one revolves around Natural Language Processing (NLP), which has quietly been gaining prominence credit to the popularity behind text analytics, speech recognition systems, becoming one of the most utilitarian tools for the enterprise today. Natural language technologies are a bouquet of three processes that explain AI's promise to let devices speak and understand the human language by combining the virtues of technology. Based on the ability of computers to run several algorithms to perform tasks like Automated Speech and Automated Text Writing in a short period, NLP is still considered the umbrella term that binds natural language technologies. Natural Language Understanding or NLU encapsulates to understand the meaning of the given text or word, its nature and structure and tries to resolve the ambiguity present in natural language which could be multiple meanings word (Lexical Ambiguity), sentences having multiple parse trees (Syntactic Ambiguity), and phrases or words which have been mentioned previously have a different meaning (Anaphoric Ambiguity). The final process of NLU involves understanding the meaning of each word by using lexicons (vocabulary) and a set of grammatical rules.