Introduction

The Language and Learning Lab (founded in 2016) is in the Department of Computer Science at the University of Victoria. We study language by applying machine learning methods to large text datasets and by exploring the way the brain processes language.

One of our main focuses is the representation of meaning (semantics) in language, and how words can be combined to create more complex or nuanced meaning (semantic composition). We study semantic composition in the brain with the hopes that it can help us to build better computer models of semantics.

Current Members

Alona Fyshe (Principle Investigator)

Niko Rebenich (Post Doc)
Dhanush Dharmaretnam (Master's)
Isabelle Dufour (PhD)
Chris Foster (Master's)
Maryam Honari (Master's)
Meara Kimball (NSERC USRA)
Cole Peterson (Master's)

Publications

Cole Peterson, Alona Fyshe. Poet Admits // Mute Cypher: Beam Search to find Mutually Enciphering Poetic Texts. Empirical Methods for Natural Language Processing (EMNLP), Austin, TX. 2016

Haoyan Xu, Brian Murphy, Alona Fyshe. BrainBench: A Brain-Image Test Suite for Distributional Semantic Models. Empirical Methods for Natural Language Processing (EMNLP), Austin, TX. 2016

See also Alona's Google Scholar Profile

Funding

The Language and Learning Lab is funded by The CIFAR Azrieli Global Scholar program and an NSERC Discovery Grant.