In the last two years, we continued to meet around a series of tutorials on Bayesian methods for data analysis and cognitive modeling, with a focus on Signal Detection Theory (2018-19), and around a series of tutorials on deep learning (2019-20).

We might not meet regularly in 2020-21 given Covid-19 and the CZU Lightning Complex fires. If we end up meeting, possible topics might include tutorials on reinforcement learning and its connections to production-based computational cognitive models for linguistic phenomena.

Feel free to email (abrsvn at [gmail.com,ucsc.edu]) if you need more information and/or access to the materials.


LaLoCo lab in the cloud (Fall 2018 update)

Mon 10 September 2018 by Adrian Brasoveanu

Since the summer of 2015, the LaLoCo lab online presence has moved to a UCSC google group, with associated resources (meeting reports, literature, code, corpora etc.) stored and updated in the cloud (the UCSC google drive).

We continued to meet on average about 7-9 times per quarter, with a good …

read more

Computing Dynamic Meanings: Building Integrated Competence-Performance Theories for Semantics [ESSLLI 2018 Course]

Sun 05 August 2018 by Jakub Dotlačil, Adrian Brasoveanu

Language and Computation track advanced course, ESSLLI 2018 ++ Instructors: Jakub Dotlačil, Adrian Brasoveanu ++ August 6-10, 2018, 2:00-3:30 pm


This course introduces a new framework that integrates (i) formal syntactic and semantic theories, (ii) mechanistic processing models, and (iii) Bayesian methods of data analysis and parameter estimation. The main …

read more

Computing Dynamic Meanings: Day 1 [ESSLLI 2018 Course]

Sun 05 August 2018 by Jakub Dotlačil, Adrian Brasoveanu

read more

Computing Dynamic Meanings: Day 2 [ESSLLI 2018 Course]

Sun 05 August 2018 by Jakub Dotlačil, Adrian Brasoveanu

Computing Dynamic Meanings: Day 3 [ESSLLI 2018 Course]

Sun 05 August 2018 by Jakub Dotlačil, Adrian Brasoveanu

read more

Computing Dynamic Meanings: Days 4-5 [ESSLLI 2018 Course]

Sun 05 August 2018 by Jakub Dotlačil, Adrian Brasoveanu

  • Mechanistic processing models for formal semantics (DRT + ACT-R + Bayes)

    we introduce mechanistic processing models for formal semantics that integrate dynamic semantics, specifically, Discourse Representation Theory (DRT, Kamp 1981, Kamp & Reyle 1993), and the ACT-R cognitive architecture

    we show how to embed these mechanistic processing models into Bayesian models …

read more

Spring-Summer 2015 Meetings

We met regularly throughout the months of June, July, and August working on a joint project investigating the formal semantics of disfluency and its interaction with other semantic phenomena, quantification and anaphora in particular.

read more

Spring 2015: Meeting 2

Hitomi Hirayama presented her work on May 26, 12-1:30 pm, the Cave.

Title: Japanese modified numerals and ignorance inferences

Abstract: This study investigates how (modified) numerals in Japanese interact with the particles wa and ga. First, I will point out some differences between English modified numerals and Japanese ones …

read more

Spring 2015: Meeting 1

Our first lab meeting of the quarter will take place this Tue (April 14), 12-1 pm, in the Cave. We will discuss the basics of the Python ACT-R library / platform. If you want to take a look, an extended tutorial is available here:

Intro to (Python) ACT-R

read more