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In this workshop, we learn how to analyse proportion data using logistic regression. We discuss the basics of binomial GLMs, how to fit the model, how to visualise and interpret your model output, as well as how to check model assumptions. We further talk about common issues with count data such as overdispersion, zero-inflation, and complete separation.
Date: Wednesday, June 12, 2024, 14:15-16:00
Location: UZH, Andreastrasse 15, 8050 Zurich, 4th floor, room AND 4.55/57
Speaker: Andri Manser
Mixed-effects models are often used to analyze linguistic data. These models are complex, with many parameters and therefore require quite a lot of data. It may happen (and happens quite often) that the, the statistical model which would be appropriate given the design is too complex for the data at hand. As a consequence, some parameters cannot be estimated (properly). In such cases, and when these models are run in lmer, R throws a convergence warning. In this workshop we will discuss these warnings, their meaning and possible consequences. We will discuss possible strategies.
Date: Wednesday, May 29, 2024, 14:15-16:00
Location: Zoom
Speaker: Audrey Bürki
Ordinal data are common in linguistic research (for example in questionnaires). In this workshop, we l learn how to analyse ordinal data using ordinal regression. We discuss the basics of ordinal regression method, how to fit an ordinal model, how to visualise and interpret your model output. We further discuss an approach to check model assumptions (using surrogate residuals) as well as how to deal with assumptions violations (e.g. proportional odds).
Date: Wednesday, May 15, 2024, 14:15-16:00
Location: UZH, Andreastrasse 15, 8050 Zurich, room will be communicated later
Speaker: Andri Manse
Every time a linear model is used to study the impact of a categorical predictor (or factor) on a dependent variable, it is necessary to transform this categorical predictor into numbers. R (or any other statistical software) cannot do math with words. In other words, we need to set the contrasts. Setting the contrasts right will ensure that the model answers the right questions. In this workshop, I will introduce and illustrate different ways to set contrasts and show how contrasts are directly related to research hypotheses.
Date: Wednesday, April 24, 2024, 14:15-16:00
Location: Zoom
Speaker: Audrey Bürki
In this workshop, we learn how to analyse count data in a generalised linear modelling framework (GLM). We discuss the basics of count GLMs, how to fit the model, how to visualise and interpret your model output, as well as how to check model assumptions. We further talk about common issues with count data and how to deal with them, such as exposure variables, overdispersion, and zero-inflation.
Date: Wednesday, April 17, 2024, 14:15-16:00
Location: UZH, Andreastrasse 15, 8050 Zurich, room will be communicated later
Speaker: Andri Manser
Proportion or percentage data is ubiquitous in linguistic research. In this workshop, we will learn about the different types of proportion data, and then introduce beta regression models as a way of analysing (continuous) proportion data. We will discuss how to interpret your model output, check model assumptions, and visualise model predictions. The workshop will have a practical part at the end where you will learn to implement a beta model first hand.
Date: Wednesday, March 20, 2024, 14:15-16:00
Location: UZH, Andreastrasse 15, 8050 Zurich, 4th floor, room AND 4.55
Speaker: Andri Manser
The aim of this course is to provide participants with a basic understanding of Bayes Rule and of the reasoning behind the Bayesian approach to statistics. For this, we will need to review a few important concepts, including variables, distributions, probability, and parameters of statistical models. I will present examples of analyses performed in the Bayesian context. This workshop is an introduction to the Bayesian approach. Participants will not learn to perform Bayesian analyses on their own.
Date: Wednesday, March 13, 2024, 14:15-16:00
Speaker: Prof. Audrey Bürki
Not everything in life is normal(ly distributed). Finding a distribution that adequately represents your outcome variable is a (the?) key challenge in our quest for an appropriate statistical model. In this little workshop, we will discuss some of the data types typically encountered in linguistic research, introduce statistical distributions that are commonly used for them, as well as briefly discuss how to implement, check and address typical challenges with distributional choices.
Date: Wednesday, December 13, 2023, 14:15-16:00
Location: Andreastrasse 15, 8050 Zurich, 3rd floor, room AND 3-46
Speaker: Andri Manser
Please register by December 8, 2023 to Sandra.Schwab@uzh.ch.
This workshop is the continuation of the workshop organized in May 2023 by LiRI. We will illustrate the use of linear mixed-effects models with a concrete example taken from linguistics.
Prerequisite: The participants should have attended the workshop organized in May 2023 or should be familiar with mixed-effects models and should know how to run them in R.
Date: Wednesday, October, 18, 2023, 14:15-15:45
Where: via Zoom
Speakers: Audrey Bürk
22-23.06.2023, University of Zurich
Computational and Quantitative Approaches to Multimodal Video Analysis - CAMVA 2023
Link to more information on CAMVA 2023
12.06.2023, University of Neuchâtel, as part of the 8th edition of SwissText
The goal of this workshop is to find changes, trends and correlations in Swiss newspapers, from a political, historical, social or linguistic perspective.
Link to more information on SwissText website
Link to data sources on Swissdox@LiRI page
Sandra Schwab and Huw Swanborough from LiRI's Stats & Machine Learning group offer a three hour workshop about Mixed-Effects Models applied to Linguistics.
The workshop will provide an introduction to mixed-effects models, both at the conceptual and practical levels. Concrete examples taken from linguistics will be analyzed in R.
Prerequisite: the participants should know how to run regression models in R and should be able to interpret regression outputs (i.e., intercept, coefficients).
Date: Wednesday, May 17, 2023, 14:15-16:45
Location: Room AND 4.57, Andreastrasse 15, 8050 Zurich, Campus Oerlikon
Speakers: Sandra Schwab & Huw Swanborough
Please register by May 9, 2023 to Sandra.Schwab@uzh.ch
Two talks in spring semester 2023
Thursdays, 16.15 to 18:00.
Anyone who is interested is welcome to attend.
| Date | Invited Speaker | Title | |
| 16 March | David Reich, Machine Learning Group, University of Potsdam |
Synthesizing human gaze data for inference tasks from eye movement |
Room KOL-G-221 |
| 11 May | Dr Claire Nance, Linguistics & English Language, Lancaster University |
Gaelic tongues: Phonetic typology and implications for sound change |
Room AND-4-02 Andreasstrasse 15, 8050 Zürich |
Nianlong Gu, member of the NCCR@LiRI group, presents the Open AI tool Whisper
Everybody who is interested is welcome to join this LiRI Brown Bag Lunch Meeting.
Date: 2023-05-05, 12:30 to 13:30
Room: AND 4.55/4.57, Andreasstrasse 15, 8050 Zürich
For more information and registration see this page.
Interested in running a study online, but don’t know where to start? In this workshop you will learn how to implement experiments in Gorilla: an easy-to-use online experiment builder tool. We will cover building tasks and questionnaires using Gorilla’s Task Builder, how to combine them into an experiment and run it. We will also look into the data files with results from your experiment produced by Gorilla, and how to organise these data into a form suitable for running statistics. No programming experience required.
Date: 2023-04-27 14:00 to 17:00
Room: AND 4.57
Date: Thursday 2023-04-06 (fully booked)
The training assumes no prior knowledge and begins with a general introduction to NIRS, to the hardware, montage design and set-up, then finally how to record data.
Guest lectures and Workshop on Speaker Identity and Recognition, May 27, 2022
Jody Kreiman (UCLA Health) and Nadine Lavan (Queen Mary University of London)
The LiRI Language Technology Team organized a workshop introducing its experience and work with corpora.
Program
|
14:00-14:45 |
Semantic Spaces and Demarcation within Swiss COVID-19 Discourses Noah Bubenhofer |
|
14:45-15:15 |
Spoken dialect corpora Teodora Vuković |
|
15:15-15:45 |
Language patterns and change in a bipolar disorder forum Danny McDonald |
|
15:45-16:00 |
Break |
| 16:00-16:45 |
Working with parallel corpora Johannes Graën |
| 16:45-17:00 |
Discussion for everyone interested in more details |
Please register by sending an e-mail to info.liri@linguistik.uzh.ch until 23 November 2021.
Organization of the workshop: Johannes Graën, Nikolina Rajovic and Stefan Bircher
22nd September 2021, 14:00 - 17:00
The LIS team organized a workshop introducing the LiRI Information System (LIS) and LiRI's virtual infrastructure.
Program
|
14:00-14:30 |
Vue.js at a glance Overview of the JavaScript framework Vue.js, used for the implementation of the as yet largest LiRI project's web interface |
|
14:30-15:15 |
Best practice on working with Git Presentation and discussion of best practice on version control with Git. |
|
15:15-15:30 |
Break |
| 15:30-16:45 |
Introducing the LiRI virtual infrastructure Presentation of the LiRI virtual infrastructure, exemplified by means of services developed by the LIS team and hosted at LiRI. |
| 16:45-17:00 |
Discussion for everyone interesed in more details. |
Organization of the workshop: Johannes Graën and Stefan Bircher
1 DS concepts and taxonomy
2 Connecting dynamical systems and human (goal-oriented) behavior
3 Self-organizing properties of complex dynamics and the functioning of the sensorimotor system
4 Properties of dynamical systems and where to find them
Part II. analyses
1 The two approaches to time series analysis: modeling shapes vs modeling dynamics.
2 Extracting information relevant to the analysis of the dynamics underlying observed time series.
3 Decomposition
4 Other approaches
Workshop from ZAS-Berlin moderated by Dr. Susanne Fuchs.
The topic of the workshop was on recording and measuring motions of the articulators, limbs and the respiratory system, with an emphasis on methodology.
Workshop days: 7-8 January 2021
Schedule of the workshop:
7th of January
| 9:00 - 10:30 |
Oksana Rasskazova (TU Berlin) Tutorial on simultaenous EMA + Respitrace recordings. Data analyses using Mview (written by Mark Tiede in MATLAB) |
| 10:30 - 10:45 | Pause |
| 10:45 - 11:45 |
Aleksandra Ćwiek (ZAS & HU Berlin) Application: Motion capture experiment |
| 11:45 - 12:00 | Pause |
| 12:00 - 12:30 | Discussion for all people who are interested in more details |
8th of January
| 9:00 - 10:30 |
Heather Weston (ZAS and HU Berlin) Investigating speech breathing: Methods tutorial for respiratory inductance plethysmography (RIP) |
| 10:30 - 10:45 | Pause |
| 10:45 - 12:00 |
Hélène Serre, Amélie Rochet-Capellan, Nadege Rochat, Marion Dohen Tutorial on the Etisense plethysmography system (advantages and limits) and how to record with an Optitrack system, the Etisense plethysmography system and audio in synchrony |
| 12:00 - 12:30 | Discussion for all people who are interested in more details |
Contact: Dr Lei He, former LiRI lab manager: lei.he@uzh.ch
Workshop on the generalized additive model and a review of EMA practices from 900+ studies offered by Prof. Dr. Martijn Wieling and Teja Rebernik from Rijksuniversiteit Groningen, Dec. 7, 2020.
Anyone who is interested in the workshop should view two pre-recorded lectures (ca. 5 hours in total) and read a tutorial article at their own pace first before the workshop.
During the workshop, from 12:45 to 15:45, Prof. Wieling will answer questions, and help with practical difficulties you encountered in learning. From 16:00 to 17:00, Teja Reberink will give a lecture on an extensive review of EMA practices from 900+ studies.
Organization: Dr Lei He, former LiRI lab manager, contact: lei.he@uzh.ch
