Current 530 Courses

2020–2021

Term 1

518: Quantitative Methods in Linguistics. Marci Soskuthy.

This course provides linguistics graduate students with a thorough grounding in quantitative data analysis, covering the entire process between data collection and publication. Unlike many other statistics courses, we put a heavy emphasis on practical skills in data wrangling, visualisation, the presentation of quantitative results and open science alongside more conventional topics such as descriptive and inferential statistics. In terms of statistical modelling, we cover simple regression models (including traditional tests such as T-tests, chi-squared tests, etc.) as well as more advanced topics such as mixed effects regression models, logistic regression and various further extensions of these methods, including Bayesian statistics. We also discuss exploratory techniques such as principle component analysis and random forest analysis. Students will also have the opportunity to suggest further topics for discussion.

The main goal of this course is not simply to step through a long laundry-list of statistical methods, but to provide students with a deeper understanding of the fundamental principles behind these methods and how different methods connect to each other. But don’t worry: this will be done by focusing on the (often rather straightforward!) intuitions behind statistical methods, not on mathematical formulae. By the end of this course, students will have the necessary skills not just to run their own analyses, but also to think critically about statistical analysis and continue developing their understanding of statistics without supervision from an instructor.

530H: Theories and Analysis in Sociophonetics. Amanda Cardoso.

This largely discussion-based course uses primary literature to examine theoretical debates in Sociophonetics and investigates the analytical trends current in the field. Our discussions will include research on production, perception and processing of sociophonetic variation, such as regional variation. You will gain hands on experience with all aspects of sociophonetic research that is theoretically motivated, through in-class discussion, practical tutorials, and your own research projects.

530J: Topics in Computational Linguistics: Computational Morphology. Miikka Silfverberg.

Computational morphology is one of the core areas of computational linguistics and natural language processing. Methods in computational morphology are important when extending language processing systems to the full spectrum of natural languages and vital when processing underserved languages many of which display a high degree of morphological complexity. This course surveys the field of computational morphology. We cover finite-state calculus which is a classical approach to building morphological resources. Finite-state systems are well suited for description of underserved languages where large corpora do not exist. We also cover the growing body of work on data-driven statistical and neural methods for computational morphology. Students are expected to apply these methods to building morphological applications and descriptions and are expected to evaluate them on language data.

A Python programming course (for example CSPC 203, LING 242, LIBR 559C) with at least a B grade is required. At least one Linguistics course and LING 342, CSPC 503, or other general course in computational linguistics is recommended.

Term 2

530I: Topics in semantics: polarity, questions, alternatives, scales. Hotze Rullmann.

The goal of this seminar is an exploration of a broad range of interrelated topics, including negation and polarity, questions, alternative semantics for focus and focus particles, and scales. Participants are encouraged to do projects on topics of their own choosing within this general area. I am also open to any requests for covering specific topics. Feel feel to contact me at any time if you have questions or suggestions.

Prerequisite: Ling 525. Recommended: Ling 527.

530K: TBD. Rose-Marie Déchaine.

“Syntax – more details to be confirmed”