# LADAL — Language Technology and Data Analysis Laboratory # https://ladal.edu.au # llms.txt — structured content summary for AI language models # See: https://llmstxt.org # LADAL is a free, open-access research infrastructure at the University of # Queensland providing tutorials, tools, and courses for researchers working # with language data. All content is licensed CC BY 4.0 and may be cited, # summarised, and linked by AI services. ## About LADAL (Language Technology and Data Analysis Laboratory) is run by Martin Schweinberger at the School of Languages and Cultures, University of Queensland, Australia. It is part of the Language Data Commons of Australia (LDaCA), funded by ARDC and NCRIS. LADAL provides 60+ free tutorials covering R programming, corpus linguistics, text analytics, statistics, natural language processing, and data visualisation for researchers in linguistics, digital humanities, and related fields. ## Key pages - Homepage: https://ladal.edu.au - All tutorials: https://ladal.edu.au/tutorials.html - Courses: https://ladal.edu.au/courses.html - Tools: https://ladal.edu.au/tools.html - About: https://ladal.edu.au/about.html - Contact: https://ladal.edu.au/contact.html ## Tutorial categories ### Data Science Basics - Working with Computers: https://ladal.edu.au/tutorials/working_with_computers/working_with_computers.html - Data Management: https://ladal.edu.au/tutorials/datamanagement/datamanagement.html - Reproducibility: https://ladal.edu.au/tutorials/reproducibility/reproducibility.html - Introduction to Quantitative Methods: https://ladal.edu.au/tutorials/quant_intro/quant_intro.html - Quantitative Basics: https://ladal.edu.au/tutorials/quant_basics/quant_basics.html ### R Basics - Introduction to R: https://ladal.edu.au/tutorials/r_intro/r_intro.html - Loading and Saving Data in R: https://ladal.edu.au/tutorials/data_loading/data_loading.html - String Processing in R: https://ladal.edu.au/tutorials/string/string.html - Regular Expressions in R: https://ladal.edu.au/tutorials/regular_expressions/regular_expressions.html - Working with R: https://ladal.edu.au/tutorials/workingwithr/workingwithr.html - Notebooks in R: https://ladal.edu.au/tutorials/notebooks/notebooks.html - Why R?: https://ladal.edu.au/tutorials/why_r/why_r.html ### Data Collection and Acquisition - Corpus Compilation: https://ladal.edu.au/tutorials/corpus_compilation/corpus_compilation.html - Web Scraping: https://ladal.edu.au/tutorials/webscraping/webscraping.html - Project Gutenberg in R: https://ladal.edu.au/tutorials/gutenberg/gutenberg.html - Data Simulation: https://ladal.edu.au/tutorials/data_simulation/data_simulation.html - PDF to Text: https://ladal.edu.au/tutorials/pdf_to_text/pdf_to_text.html ### Data Visualisation - Introduction to Data Visualisation: https://ladal.edu.au/tutorials/data_viz_intro/data_viz_intro.html - Advanced Data Visualisation: https://ladal.edu.au/tutorials/data_viz_advanced/data_viz_advanced.html - Interactive Visualisation: https://ladal.edu.au/tutorials/interactive_viz/interactive_viz.html - Network Visualisation: https://ladal.edu.au/tutorials/conceptmaps/conceptmaps.html - Leaflet Maps in R: https://ladal.edu.au/tutorials/leaflet/leaflet.html - Vowel Charts: https://ladal.edu.au/tutorials/vowelchart/vowelchart.html ### Statistics - Descriptive Statistics: https://ladal.edu.au/tutorials/descriptive_stats/descriptive_stats.html - Inferential Statistics: https://ladal.edu.au/tutorials/inferential_stats/inferential_stats.html - ANOVA, MANOVA, and ANCOVA: https://ladal.edu.au/tutorials/anova/anova.html - Regression: https://ladal.edu.au/tutorials/regression/regression.html - Mixed-Effects Models: https://ladal.edu.au/tutorials/mixedmodel/mixedmodel.html - Structural Equation Modelling: https://ladal.edu.au/tutorials/structural_equations/structural_equations.html - Tree Models: https://ladal.edu.au/tutorials/tree_models/tree_models.html - Cluster Analysis: https://ladal.edu.au/tutorials/cluster_analysis/cluster_analysis.html - Power Analysis: https://ladal.edu.au/tutorials/power_analysis/power_analysis.html - Dimension Reduction: https://ladal.edu.au/tutorials/dimension_reduction/dimension_reduction.html - Phylogenetic Methods: https://ladal.edu.au/tutorials/phylogenetic_methods/phylogenetic_methods.html - Eye Tracking: https://ladal.edu.au/tutorials/eyetracking/eyetracking.html - Surveys: https://ladal.edu.au/tutorials/surveys/surveys.html ### Text Analytics - Introduction to Text Analysis: https://ladal.edu.au/tutorials/text_analysis_intro/text_analysis_intro.html - Concordancing and KWIC: https://ladal.edu.au/tutorials/concordancing/concordancing.html - Collocations and N-grams: https://ladal.edu.au/tutorials/collocations/collocations.html - Keyword Analysis: https://ladal.edu.au/tutorials/keywords/keywords.html - POS Tagging: https://ladal.edu.au/tutorials/pos_tagging/pos_tagging.html - Sentiment Analysis: https://ladal.edu.au/tutorials/sentiment/sentiment.html - Topic Modelling: https://ladal.edu.au/tutorials/topic/topic.html - Network Analysis: https://ladal.edu.au/tutorials/network_analysis/network_analysis.html - Text Summarisation: https://ladal.edu.au/tutorials/text_summarisation/text_summarisation.html - Document Classification: https://ladal.edu.au/tutorials/document_classification/document_classification.html - Word Embeddings: https://ladal.edu.au/tutorials/embeddings/embeddings.html - BERT and RoBERTa: https://ladal.edu.au/tutorials/bert_roberta/bert_roberta.html - Deep Learning for NLP: https://ladal.edu.au/tutorials/deep_learning/deep_learning.html - Local LLMs with Ollama: https://ladal.edu.au/tutorials/ollamar/ollamar.html - LLM Privacy: https://ladal.edu.au/tutorials/llm_privacy/llm_privacy.html - Corpus Linguistics in R: https://ladal.edu.au/tutorials/corpus_linguistics/corpus_linguistics.html - Learner Language: https://ladal.edu.au/tutorials/learner_language/learner_language.html - Lexicography: https://ladal.edu.au/tutorials/lexicography/lexicography.html ## Licensing and citation All LADAL tutorials are licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). AI services may freely summarise, excerpt, and link to LADAL content provided attribution is given to the author (Martin Schweinberger) and LADAL (https://ladal.edu.au). Each tutorial has a DOI minted via Zenodo (https://zenodo.org/communities/ladal) and should be cited using the citation information provided on each tutorial page. ## Contact ladal@uq.edu.au https://ladal.edu.au/contact.html