LING 490

Spring 2022 Part of Term 1

Part of Term 1
Jan 18-May 4

Special Topics in Linguistics

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Credit: 3 OR 4 hours.

Course provides an opportunity to focus on various subfields of the linguistic sciences, depending on the interests of the faculty and student.

3 undergraduate hours. 4 graduate hours. May be repeated as topic varies to a maximum of 9 undergraduate hours or 12 graduate hours. Students may register for up to two sections in the same term. Prerequisite: LING 100, LING 400, or consent of instructor.

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LING 490 class schedule data for spring 2022
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
63366	Lecture-Discussion	E	11:00AM -12:20PM	TR	G13 Foreign Languages Building	Tang, Y	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours 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. NOTE: CRN is linked to LING 506 for Undergraduates Restriction(s): Restricted to Undergrad - Urbana-Champaign.
73431	Lecture-Discussion	GDP	11:00AM -12:20PM	TR	G3 Foreign Languages Building	Del Pinal, G	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Info: Topic: Computational Semantics NOTE: This CRN is linked to LING 506 for Undergraduates This course will focus on computational accounts of core semantic and pragmatic phenomena in natural languages. It will include a preliminary introduction to lambda calculus, compositionality and higher-order logic. We will then discuss the semantics of various functional and logical terms and phrases of natural languages---quantifiers (`most’, `some’), connectives (`and’, `or’), modals (`possible’, `must’, `likely’), polarity-sensitive items (`any’)---and the semantics of questions, question-answer systems, discourse representation, selection of variables, and logical, probabilistic and pragmatic/common-sense inferences in natural languages. We will also introduce some standard and more recent computational models of the open class lexicon (words like `table’, `tigers’ ) and discuss the ways in which recent computational models of the lexicon advance our understanding of the interface between language and world knowledge/general cognition. For each topic, we will first introduce the relevant facts and standard approaches from formal semantics, using references such as Heim & Kratzer (1998), and will then explore the advantages and challenges of taking a computational perspective. Most assignments for the course will be done in Haskell, and the main textbook---which presupposes no familiarity with Haskell, will be Eijck and Unger (2010), Computational Semantics.
62082	Lecture-Discussion	LS3	12:30PM -1:50PM	TR	G23 Foreign Languages Building	Park, H Schwartz, L	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Info: Topic: Computational Morphology Restriction(s): Restricted to Undergrad - Urbana-Champaign.
62083	Lecture-Discussion	LS4	12:30PM -1:50PM	TR	G23 Foreign Languages Building	Park, H Schwartz, L	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Computational Morphology Restriction(s): Restricted to Graduate - Urbana-Champaign.