MS HLT Electives

Investigation of the principles that underlie current phonological theory, concentrating on the representation of sounds and the regular patterns of sound in natural language. Topics include distinctive feature theory, syllable theory, the core skeleton, rule formulation and rule interactions. Graduate-level requirements include a greater number of problems.

Students are introduced to computer programming as it pertains to collecting and analyzing linguistic data. The particular programming language is chosen at the discretion of the instructor. Graduate-level requirements include more challenging exams; 50% greater contribution to their respective group projects; 9 instead of 6 assignment; additional readings from the primary literature.

A continuation of 503, this class compares alternative non-Chomskyan theoretical approaches to syntactic theory. Including Relational Grammar, Head Driven Phrase Structure Grammar, Categorical Grammar and Lexical Functional Grammar.

A continuation of LING 503, Foundations of Syntactic Theory I, taught within the Minimalist approach to syntactic theory, with a focus on principles of theory construction and empirical issues in binding, control, movement, structure, and the interfaces with semantics and morphology.

The development and exchange of scholarly information, usually in a small group setting with an in depth investigation of computational linguistics theory and application. The scope of work shall consist of research by course registrants, with the exchange of the results of such research through discussion, reports, and/or papers.

This course focuses on statistical approaches to pattern classification and applications of natural language processing to real-world problems.

Course Description (no char. limit): This intermediate-level course is a continuation of LING 529 and covers a combination of theoretical and applied topics such as (but not limited to) unsupervised learning (clustering), decision trees, and the basics of information retrieval.

This class serves as an introduction to human language technology (HLT), an emerging interdisciplinary field that encompasses most subdisciplines of linguistics, as well as computational linguistics, natural language processing, computer science, artificial intelligence, psychology, philosophy, mathematics, and statistics. Content includes a combination of theoretical and applied topics such as (but not limited to) tokenization across languages, n-grams, word representations, basic probability theory, introductory programming, and version control.

Study of the acoustic and articulatory properties of sounds and patterns of sounds that occur in human language. Focus on the significance of the properties of sounds for phonological theory, in particular, distinctive feature theory. Role of psycho-acoustic studies as a source of evidence for phonological theory. Graduate-level requirements include an additional project or research paper.

Students will learn to use the statistical methods common in linguistics and related fields in order to apply them in the design and analysis of their own research. Methods covered will include ANOVA, ANCOVA, correlation, regression, and non-parametric tests, as well as some specialized analyses such as Multidimensional Scaling Analysis. The course will focus primarily on methods and problems of psycholinguistic, phonetic, and sociolinguistic research.