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LiRI - Linguistic Research Infrastructure

Technology platform for linguistic research

LiRI supports research in linguistics, language science, and related disciplines at the University of Zurich and beyond.  We offer a comprehensive suite of services that covers every stage of a research project's life cycle, from the initial planning and experiment design to the acquisition and processing of data, as well as language technology services, and statistical consulting. We also partner with LaRS and SWISSUbase to provide our clients with data archiving solutions at the end of their project. In addition, the Swissdox@LiRI service offers a vast database of Swiss media texts to subscribers from supporting institutions.




    LiRI is a data and service provider for CLARIN-CH, the Swiss node of CLARIN (short for Common Language Resources and Language Technology). CLARIN is a pan-European digital infrastructure that provides easy and sustainable access to a wide range of language data and tools. In Switzerland, CLARIN-CH addresses the needs of Swiss researchers working with language data when it comes to collecting, protecting, sharing and preserving research data in the context of Open Science and FAIR principles, providing support and fostering collaboration.
  • Zurich Center for Linguistics

    The Zurich Center for Linguistics (LiZZ) is a group of institutes and individuals who are involved in linguistic research in Zurich and who share common interests and resources. The LiZZ supports the development of the linguistically oriented institutes and initiatives of the University of Zurich (UZH). The central goal is to strengthen linguistics in Zurich and to generally foster the public perception of the impact and value of language science.
  • NCCR Evolving Language

    The Swiss National Centre of Competence in Research (NCCR) Evolving Language is a nationwide interdisciplinary research consortium bringing together research groups from the humanities, from language and computer science, the social sciences, and the natural sciences at an unprecedented level. Together, we aim at solving one of humanity’s great mysteries: What is language? How did our species develop the ca­pa­city for linguistic expression, for processing language in the brain, and for con­sist­ently passing down new variations to the next generation? How will our capacity for language change in the face of digital com­munication and neuroengineering?
  • Digital Society Initiative - LiRI involved

    The Swiss News Viz Media Lab aims to provide expert tools and methods from the analysis to textual data in the form of a publicly accessible platform for both research and teaching purposes.

Weiterführende Informationen

Convergence issues with mixed-effects models in lmer

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
Please register by May 24, 2024 to Sandra Schwab.

LiRI/NCCR Friday Lunchtime Talk with Srikanth Madikeri Raghunathan June 7, 2024 in AND 4.55/4.57 (Andreasstrasse 15).

More about LiRI/NCCR Friday Lunchtime Talk with Srikanth Madikeri Raghunathan June 7, 2024 in AND 4.55/4.57 (Andreasstrasse 15).

Topic:  Large pre-trained self-supervised models for automatic speech processing 

The talks will last 1h (12:00-13:00); then there will be the chance to have lunch together and socialise until 13:30 (in the provided room).
Everyone is welcome!

Meet the Families, Part 5: Proportion Data

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
Please register by June 8, 2024 to Sandra Schwab.

We welcome the launch of SSHOC-CH in Switzerland!

More about We welcome the launch of SSHOC-CH in Switzerland!

On April 24, 2024, the Social Science and Humanities Open Cluster Switzerland  was initiated. This initiative brings together over 60 leaders from national research infrastructures to enhance collaboration and support for scholars in the humanities and social sciences, aligning with the principles of Open Science and FAIR.