CSC 372 - Natural Language Processing

In this course, students will be introduced to the field of natural language processing (NLP), providing them with a comprehensive understanding of the diverse methods employed to analyze text within computational systems. As NLP is inherently interdisciplinary, the course draws from both linguistics and computer science, and we explore text analysis methods applicable in a variety of fields such as computational social science, digital humanities, and computational journalism. The course will place a strong emphasis on core NLP algorithms utilized across various practical applications, including part-of-speech tagging, parsing, semantic labeling, and machine translation. Additionally, we will explore the linguistic phenomena that these algorithms aim to capture and model. Students will actively engage in implementing these algorithms.
 

Satisfies the Applications elective requirement in the Computer Science major.
Satisfies an elective requirement in the Computer Science minor.
Satisfies a requirement for the Data Science Interdisciplinary minor.

 

Prerequisites & Notes
CSC 221 and one of CSC?MAT 220 or MAT 230