LANG SCI RES (XIE, X.)

Involves colloquia and scientific reports by faculty, students, and visitors. Students are exposed to current language science research and gain experience in active listening and scientific discourse.

LANG SCI SKILLS I (MAYER, C.)

Focuses on computational skills for language science research. Topics include computational literacy, programming languages, and database interfaces that are useful for language science research, allowing for general scripting and file manipulation, and enabling statistical analysis and data visualization.

ADVANCED LANGUAGE SCIENCE SKILLS I (FUTRELL, R.)

The practice of advanced professional writing skills, including the writing of grants. Students bring their own academic material to the workshop.

LANG MODELS COG SCI (FUTRELL, R. AND LESHINSKAYA, A.) THIS IS A CROSSLISTED COURSE WITH LSCI COGS 229

LANG SCI RES (XIE, X.)

Involves colloquia and scientific reports by faculty, students, and visitors. Students are exposed to current language science research and gain experience in active listening and scientific discourse.

ADVANCED LANGUAGE SCIENCE SKILLS II (FUTRELL, R.)

The practice of advanced professional writing skills, including the writing of research statements and related documents. Students bring their own academic material to the workshop.

LANG SCI RES (XIE, X.) 

Involves colloquia and scientific reports by faculty, students, and visitors. Students are exposed to current language science research and gain experience in active listening and scientific discourse.

 LANG SCI RES (SCONTRAS, G.)

Introduction to scientific presentation for audiences of different backgrounds and practice of scientific presentations skills.

 ADVANCED LANGUAGE SCIENCE SKILLS III (FUTRELL, R.)

The practice of advanced professional writing skills, including the writing of journal articles. Students bring their own academic material to the workshop.

FORMAL LANGUAGES (MAYER, C.)

Computational linguistics is a large, multifaceted and rapidly expanding field. There are many
different kinds of work that might be classified as “computational linguistics”, differing in
• goals (e.g., build a useful tool, test a linguistic theory), and
• empirical domains (e.g., sounds, words, sentences),
but there are certain core analytical concepts, tools, and techniques that frequently appear throughout. In this course, we will consider these foundational concepts through the lens of Formal Language Theory (FLT), which is concerned with the mathematical properties and computational
complexity of formal languages and the formal grammars that describe them. Broadly speaking,
the relevant foundational concepts concern the computational nature and properties of the systems of rules and restrictions that govern the patterns we see in natural language. This course
aims to highlight these common ideas, starting with their simplest instantiations and gradually
building up towards the more complex cases. The simple cases will probably closely parallel
certain things you may have learned about in mathematics or computer science courses, and the
more complex cases will hopefully look similar to things you have learned about in linguistics
courses. An important goal is to highlight the connections between these areas.
As a preview, some of the biggest ideas that will come up repeatedly are:
• recursive generation of infinitely many expressions by a finite machine,
• interchangeability/intersubstitutability of subexpressions within larger expressions, and
• the relationship between discrete structures and probabilistic models.

COMPUTATIONAL COGNITIVE MODELS OF LANGUAGE ACQUISTION (PEARL, L.)

Focuses on synthesizing research literature related to computational cognitive models of language acquisition. Students develop their abilities to discuss key concepts and background assumptions, clearly present major points and findings, and concisely summarize literature from a particular perspective.

LSCI 253M

EXPERIMENTAL METHODS IN LANGUAGE RESEARCH (XIE, X.)

Focuses on experimental methods useful for language research. Students become familiar with software and programming languages used for implementing and analyzing behavioral experiments.

LANG SCI RES (XIE, X.)

LANG SCI SKILLS I (MAYER, C.)

ADVANCED LANGUAGE SCIENCE SKILLS I (FUTRELL, R.)

PHONOLOGICAL MODELS (MAYER, C.) THIS IS A COMBO COURSE WITH LSCI 119

This course presents an overview of some of the major trends in phonological theory from the 1960s to the present day. The primary focus is on theory comparison to understand why and how previous scholars proposed changes to phonological theory and what issues still remain. The two broad formalisms covered are rule-based phonology and constraint-based phonology.

LANG SCI RES (XIE, X.)

LANG SCI SKILLS II (PEARL, L.) GRAD PROFESSIONAL WRITING COURSE

LANGUAGE MODELS AND COGNITIVE SCIENCE (FUTRELL, R.)

LANG SCI RES (XIE, X.) 

 ADVANCED LANGUAGE SCIENCE SKILLS III (FUTRELL, R.)

New course (Xie, X.)

ACOUSTIC PHONETICS (MAYER, C.) LAB PORTION MUST BE TAKEN WITH THE COURSE

Introduction to the study of the acoustic properties of speech and their relationship to speech articulation and speech perception. Topics covered include making and interpreting quantitative acoustic measurements of speech, basic experimental design, and basic data visualization and statistical analysis.

COMPUTATIONAL COGNITIVE MODELS OF LANGUAGE ACQUISTION (Pearl, L.)

Focuses on synthesizing research literature related to computational cognitive models of language acquisition. Students develop their abilities to discuss key concepts and background assumptions, clearly present major points and findings, and concisely summarize literature from a particular perspective.

LSCI 153M/253M

Currently listed as LSCI 259 until CIM approval

Experimental Research in Language Science (XIE, X.) WILL BE A COMBO COURSE WITH 159 (LSCI  153M)

Covers foundational topics in behavioral research and experimentation, focusing on examples from language science.

This course is designed to build the core methodological skills students need to conduct scientific research using behavioral methods. A component of Language Science research.

NEW SPECIAL TOPICS (HICKOK, G.) WILL RESTRICT NEW COURSE TO COG SCI AND LANG SCI PHD STUDENTS.

LANG SCI RES (XIE, X.)

LANG SCI SKILLS I (MAYER, C.)

ADVANCED LANGUAGE SCIENCE SKILLS I (FUTRELL, R.)

LANG SCI RES (XIE, X.)

ADVANCED LANGUAGE SCIENCE SKILLS II (FUTRELL, R.)

LANGUAGE MODELS COGNITIVE SCIENCE (ZASLAVSKY, N.)

ACOUSTIC PHONETICS (MAYER, C.) LAB PORTION MUST BE TAKEN WITH THE COURSE

COMP COGNITIVE MODELS LANGUGE ACQUISTION (PEARL, L.)

NEUROBIOLOGY OF RHYTHM (HICKOK, G.)

LANG SCI RES (XIE, X.) 

LANG SCI SKILLS III (SCONTRAS, G.)

ADVANCED LANGUAGE SCIENCE SKILLS III (FUTRELL, R.)

PHONOLOGICAL MODELS (MAYER, C.)

This course presents an overview of some of the major trends in phonological theory from the 1960s to the present day. The primary focus is on theory comparison to understand why and how previous scholars proposed changes to phonological theory and what issues still remain. The two broad formalisms covered are rule-based phonology and constraint-based phonology.

FORMAL SEMANTICS (SCONTRAS, G.)

EXPERIMENTAL METHODS LANG RESEARCH (XIE, X.)

LANG SCI RES (XIE, X.)

LANG SCI SKILLS I (MAYER, C.)

ADVANCED LANGUAGE SCIENCE SKILLS I (FUTRELL, R.)

FORMAL LANGUAGES (MAYER, C.) THIS IS A COMBO COURSE WITH LSCI 209

LANG SCI RES (XIE, X.)

LANG SCI SKILLS III (SCONTRAS, G.)

INFO THEORY & LANG (FUTRELL, R.)

SPECIAL TOPICS PHONOLOGY (MAYER, C.)

LANG SCI RES (XIE, X.) 

LANG SCI SKILLS II (PEARL, L.)

EXPERIMENTAL METHODS LANG RESEARCH (XIE, X.)