Understanding the Blackbox of Natural Language Processing (NLP)by Kamalika Some July 28, 2020
NLP is all about decoding the computational linguistics to bridge the gap between computers and humans.
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.
This mechanism of Natural Language Processing comprises three critical processes which are:
• Natural Language Understanding (NLU)
• Natural Language Generation (NLG)
• Natural Language Interaction (NLI)
Natural Language Understanding
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.
Natural Language Generation
The NLG process consists of automatically producing text from structured data in a readable format integrated with meaningful sentences and phrases. Natural language generation compiles text planning involving the ordering of basic content in structured data, sentence planning where the sentences are combined from structured data to represent the flow of information and realization where grammatically correct sentences are produced to represent text.
Natural Language Interaction
Natural Language Interaction (NLI) combines technologies that are deployed by users to communicate and evoke responses from systems via natural language. Users give a command either by voice or typing. An automated voice back or a typed response from the machine is the interaction piece generated by Natural Language Interaction. NLI is also referred to as conversational AI. However, it also translates to several unique steps which apply to speech recognition
The pragmatic use of these different NLP processes is dynamic which enable enterprises with large amounts of unstructured text or spoken data to overcome dark data issues, effectively mining them for intelligence. NLP technologies, the key for enabling business intelligence to let the users get their queries answered in natural language, increasingly involving speech.
Collectively, what is most notable is understanding NLP which makes text analytics more accessible, however, NLP involves multiple dimensions of AI, effectively pointing at the overall effect this revolutionary technology will have in this century when deployed together.