Dr Reza Arab is a Lecturer in Applied Linguistics at the School of Languages and Cultures. His expertise lies in pragmatics, cultural linguistics, and intercultural communication, with a focus on how humour, metaphor, and language practices shape belonging, identity, and interaction across cultural and institutional contexts.
His research spans historical pragmatics, contrastive semantics, and discourse analysis, particularly in national and Indigenous settings. He has led and contributed to projects on humour in prison discourse, media representations, and political communication. Dr Arab also contributes to the English as an International Language (EIL) major at UQ.
I am an Associate Professor in the School of Languages and Cultures at UQ (since 2017), formerly assistant professor at the Centre for Applied English Studies (CAES), University of Hong Kong (since 2014). I hold an MA TESOL from the University of London and an M.Phil/Ph.D in applied linguistics from the University of Cambridge, UK.
My areas of research and supervisory expertise include corpus linguistics and the use of corpora for language learning (known as 'data-driven learning'), as well as computer-assisted language learning, and English for General and Specific Academic Purposes. I have published over 50 articles to date in many leading Q1 journals in the field of applied linguistics, 10+ book chapters, 4 books, 3 MOOCs, and several textbook series.
I am the Editor-in-Chief for the Australian Review of Applied Linguistics (from 2024). I am also currently serving on the editorial boards of the Q1 journals IRAL, Journal of Second Language Writing, Journal of English for Academic Purposes, and System, as well as Applied Corpus Linguistics, a new journal covering the direct applications of corpora to teaching and learning.
Affiliate of Centre for Digital Cultures & Societies
Centre for Digital Cultures & Societies
Faculty of Humanities, Arts and Social Sciences
Lecturer in Applied Linguistics
School of Languages and Cultures
Faculty of Humanities, Arts and Social Sciences
Availability:
Available for supervision
Media expert
Martin Schweinberger uses big data and computational methods to explore the messy, fascinating reality of how people actually talk—including all the swear words, filler words, and informal expressions that traditional language education overlooks. As a Lecturer in Applied Linguistics at the University of Queensland, he bridges the gap between computer science and linguistics to understand how language evolves in our digital age.
Uncovering Hidden Language Patterns
Much of Martin's research focuses on the language phenomena that schools don't teach but that permeate everyday conversation. He analyzes massive datasets to study vulgarity and swearing patterns, as well as discourse markers—those ubiquitous filler words like "like," "you know," "well," and "I mean" that pepper our speech. By applying statistical methods to real-world language use, he reveals how these supposedly "incorrect" forms of expression actually follow sophisticated social and linguistic rules.
His work also tracks how language changes over time and varies between different social settings, using computational tools to identify patterns that would be impossible to detect through traditional research methods alone.
Building Australia's Language Data Future
As Director of the Language Technology and Data Analysis Laboratory (LADAL)—a free upskilling platform for language data science with hundreds of thousands of users worldwide—and a key figure in one of Australia's major research infrastructure projects, the Language Data Commons of Australia (LDaCA), Martin is helping build the digital infrastructure that will support language research across the country. LDaCA has received substantial funding to create accessible tools and resources that allow researchers to analyze text and speech data more effectively.
Championing Research Transparency
Beyond his linguistic research, Martin advocates for reproducibility and transparency in humanities and social science research. He provides guidance on how language researchers can adopt more rigorous, open research practices—addressing a growing concern about the reliability of academic findings across disciplines.
Martin's international visibility is reflected in his leadership roles: he serves as Vice-President Professional of the International Society for the Linguistics of English (ISLE) and sits on the board of The International Computer Archive of Modern and Medieval English (ICAME), one of the oldest and most reputable societies for corpus linguistics. These positions demonstrate his commitment to advancing computational language research on a global scale.
Potential topics for supervision
I would be particularly interested in supervising theses on the following topics:
Sociolinguistics / Language Variation and Change / World Englishes
General extenders
Terms-of-address and salutations
Discourse particles and markers
Vulgarity
Adjective amplification
Learner Language / Applied Linguistics / Corpus Phonetics / Learner Corpus Research
Vowel production among L1 speakers and learners of English
Voice-onset-times among L1 speakers and learners of English
Fluency and pauses in learner and L1 speech.
Accent and intelligibility / comprehension.
Text Analytics / Digital Humanities / Corpus Linguistics
Applied word embedding applications in the language sciences.
Comparison of different association / keyness measures