Overview: We will explore algorithms for understanding and producing human language. We will consider NLP applications of tokenization, word and sentence segmentation, part-of-speech tagging, morphological analysis, syntax parsing, and more. We will explore the overlap between NLP, information retrieval, machine learning and deep learning. Practically, we will implement many of these algorithms or utilize popular NLP frameworks to apply these algorithms. Prerequisites: Data Structures and Calculus
Waxman, Joshua. (2021, Spring), Syllabus, COMP 4930H Topics: Natural Language Processing, Stern College for Women, Yeshiva University.
*This is constructed from limited available data and may be imprecise.