University of Queensland · Free & Open-Access
Language Technology & Data Analysis Laboratory
Comprehensive tutorials, interactive tools, and structured courses for anyone working with language data — from complete beginners to expert researchers.
What we offer
Everything you need for computational language research
Free, open-source resources built for researchers at every level — no prerequisites, no paywalls.
Tutorials
50+ step-by-step guides on text analytics, statistics, and programming in R — with interactive Jupyter notebooks you can run directly in your browser.
Browse all tutorials →Courses
Structured short and long courses combining conceptual background, hands-on practice, and reproducible workflows — for beginners through to advanced researchers.
View all courses →Tools
Browser-based text analysis tools — concordancing, keyword analysis, topic modelling, and more. No installation or account required.
Explore tools →Featured tutorials
Start here
Six tutorials that take you from setting up your computer to analysing text with R — a complete beginner's pathway into computational language research.
Working with Computers
Set up a research-ready digital environment — learn file and folder organisation, data storage, and the digital workflows every computational researcher needs from day one.
Go to tutorial →Introduction to Quantitative Reasoning
Understand the logic behind data analysis before touching any code — covering the scientific method, empirical reasoning, and why quantitative methods matter for humanities research.
Go to tutorial →Getting Started with R
Install R and RStudio, learn the basics of R syntax, and write your first script — the recommended starting point and prerequisite for every practical tutorial on LADAL.
Go to tutorial →Introduction to Data Visualisation
Create publication-quality figures in R using ggplot2 — scatter plots, bar charts, line plots, and box plots with full control over colours, labels, and themes.
Go to tutorial →Descriptive Statistics
Summarise and explore your data confidently — covering mean, median, variance, standard deviation, distributions, and outlier detection with no prior statistics experience required.
Go to tutorial →Introduction to Text Analysis
Understand how text becomes data — key concepts, core methods, and research design considerations for corpus linguistics, digital humanities, and computational social science.
Go to tutorial →What our users say
Trusted by researchers worldwide
Used in universities and research institutions across more than 100 countries.
An authoritative and comprehensive resource that represents current best practices in the field. I recommend it to all my students in Quantitative Methods in Linguistics.
Professor of Russian, Arctic University of Norway
Whenever I come across a method I wish to implement in my research, a corresponding script with meaty instructions is already available at LADAL.
Postdoctoral Researcher, University of Kiel
The clear and transparent documentation and availability of data and code sets this resource apart from many others. A tremendously useful and powerful resource.
Senior Researcher, University of Giessen
Funding & support
Proudly supported by ARDC and LDaCA
LADAL is supported by the Australian Research Data Commons (ARDC) — a national research infrastructure project that makes Australian language data findable, accessible and reusable for researchers in Australia and around the world.
The Language Data Commons of Australia (LDaCA) (DOI:
10.3565/kq2v-9g52)
is a co-investment partnership with the Australian Research Data Commons (ARDC) through the
HASS and Indigenous Research Data Commons
.
The ARDC is enabled by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS).
Open science, built for language researchers
The Language Technology and Data Analysis Laboratory (LADAL) is a collaborative, open-access research infrastructure established in 2019 at the University of Queensland. Part of the Language Data Commons of Australia (LDaCA), LADAL provides free resources to researchers worldwide — no registration, no paywalls, no prerequisites.
Learn more about LADAL →