Natural language processing (NLP) is the area of artificial intelligence that deals with the study and development of computational models that are capable of processing and understanding the particularities of natural language as efficiently as humans do.
In this course, students will be introduced to basic fundamentals and machine learning techniques associated with NLP, which are used as a starting point for the development of numerous language technologies and automatic text mining.
Students will become familiar with algorithms and techniques for representing as trees and graphs the latent information present in written texts, with techniques for representing words in a way that efficiently captures their meaning, with the implementation of models using machine learning techniques for their application to various NLP-related problems that are useful for non-specialized users, as well as with existing techniques for language technologies so they can be applied to many languages, even those for which there is a limited amount of available resources (annotated or not).
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