Natural Language Processing

Catalog description

This course explores algorithms for processing, understanding and producing human language, as well as the linguistic concepts required to make use of those algorithms. The following topics are covered in this course: phonology, morphology, syntax and semantics; basic text processing, minimum edit distance, language models, classification and how it applies to many NLP problems, Naive Bayes and more advanced classifiers; machine learning and deep learning as applied to NLP; NLP problems such as named entity recognition, relation extraction, question answering. Prerequisite(s): COMP 1320 and MATH 1412 .