LING 506

Spring 2023 All Classes

All Classes

Topics in Computational Ling

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Credit: 4 hours.

Provides an introduction to practical problems in computational linguistics in a laboratory setting. At the beginning of the semester, a substantial project will be assigned to the class, and the class will work as a team towards implementing a solution, and evaluating the final product against a test corpus, which will also be developed during the class. Topical readings will also be assigned and will be discussed.

Approved for letter or S/U grading. May be repeated in more than one section per term to a maximum of 8 hours, if topics vary; may be repeated in subsequent terms to a maximum of 12 hours, if topics vary. Prerequisite: LING 406, and an introductory level Computer Science programming course, or consent of instructor.

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LING 506 class schedule data for spring 2023
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	36523	Lecture-Discussion	E	11:00AM -12:20PM	TR	215 Gregory Hall	Chen, E Tang, Y	Part of Term: 1 Date Range: 01/17/23-05/03/23 Section Title: Introductory Machine Learning Section Info: Topic: Introductory Machine Learning. Description: Machine learning has been thriving in many areas for both research and industry. It offers solutions to problems that traditional approaches may not be able to deal with or fall short in efficiency. From supervised to unsupervised learning, this course is set to give students a broad understanding in modern machine learning methods and techniques. During the course, students are expected to acquire knowledge and skills in solving practical problems in clustering and classification, using techniques such as k-means, Gaussian mixture models, decision trees, support vector machines and neural networks. This course requires LING490 or equivalent in programming and understanding in probability and statistics as prerequisite. Prerequisites: LING 406 or LING 490