Natural Language Processing (PLN)

 Natural Language Processing (PLN) is an aspect of Artificial Intelligence (AI) that helps computers process and manipulate human language. The purpose of PLN is to serve as a bridge between the way humans communicate and understanding machines.  


As much as the current applications of PLN suggest that it is a new technology, studies began in the 40s, through the creation of Machine Translation , which intended to differentiate languages ​​and adapt the syntax. In the following decade, Noam Chomsky published a theory on the generative capacity of languages ​​that brought computational and linguistic studies together.  

Now that we’ve answered the question of what is SOW, it’s time to discuss the objective. The objective, or scope statement, clearly identifies the project’s objective and purpose. 

From then on and until the mid-90s, studies aimed to adapt systems that perform tasks guided by dialogues, solve problems and deal with linguistic ambiguities.  


For us, who are used to using Google and getting very assertive and coherent answers, PLN has already become commonplace, but there is a great structure of AI networks behind, ensuring that the algorithm processes the information and finds the best answer. PLN also uses deep learning techniques , mainly with regard to the development of artificial neural networks, aiming at a greater understanding of the machine about natural language.  

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