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Dr Martin Schweinberger
Dr

Martin Schweinberger

Email: 
Phone: 
+61 7 336 56892

Overview

Background

My name is Martin Schweinberger and I am Lecturer in Applied Linguistics at the University of Queensland (UQ) in Australia. At the UQ, I am Director of the Language Technology and Data Analysis Laboratory (LADAL) (together with Michael Haugh) and I am a quantitative corpus linguist specialized in computational analyses of text and speech. In my research, I aim to combine and bridge the gap between computational linguistics and corpus linguistics.

I am steering committee member and Chief Investigator (CI) of the Language Data Commons of Australia (LDaCA) and was also steering committee member and CI of the Australian Text Analytics Platform (ATAP) before it was merged with LDaCA. Both ATAP and LDaCA aim at establishing language data infrastructures and text analytics upskilling resources in Australia and they have received substantive funding from the Australian Research Data Commons (ARDC). I have recently been elected as Vice-President Profession to be of the International Society for the Linguistics of English (ISLE) and I am board member of The International Computer Archive of Modern and Medieval English (ICAME).

Regarding my background, I have a PhD in English linguistics and I studied at the National University of Ireland, Galway, and Universität Kassel where I graduated in 2008 with an MA in English Philology, Philosophy, and Psychology. After my MA, I remained in Kassel for a short while but soon moved on to the University of Hamburg where I worked on and later received my PhD.

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

Availability

Dr Martin Schweinberger is:
Available for supervision

Qualifications

  • Doctor of Philosophy, Universität Hamburg

Research interests

  • Socio- and psycholinguitics

    I am interested in how social and cognitive-psychological factors impact language use and variability.

  • Language variation and change

    I find it fascinating how and why languages changes and how variation and variability form the basis of language change.

  • Computational and quantitative analyses

    I use computational methods using programming environments to process, analyze and visualize language data.

  • Corpus linguistics

    Corpus data allows us to test hypotheses about how language works and changes empirically.

  • First and second language acquisition

    How do humans acquire their first language (L1) and how to learners differ from L1 speakers? What are common phenomena of learner language(s)?

  • Discourse markers and particles

    While often considered mere fillers, discourse markers and particles fulfill very important communicative functions such as drawing attention to what is important, signalling, restarts and repairs, or linking utterances.

  • Adjective intensification

Research impacts

As director and initiator of the Language Technology and Data Analysis Laboratory (LADAL) I am very proud that LADAL has emerged as one of Australia’s most prominent web-based collaborative support infrastructures for digital and computational humanities with more than 1.1 million page views of more than 500,000 active users in nearly 750,000 engaged sessions since 2021.

Works

Search Professor Martin Schweinberger’s works on UQ eSpace

89 works between 2008 and 2025

1 - 20 of 89 works

2025

Journal Article

Vulgarity in online discourse around the English-speaking world

Schweinberger, Martin and Burridge, Kate (2025). Vulgarity in online discourse around the English-speaking world. Lingua, 321 103946, 1-25. doi: 10.1016/j.lingua.2025.103946

Vulgarity in online discourse around the English-speaking world

2025

Other Outputs

Indigenous Australian languages – linguistic features, revitalization efforts, and research infrastructure for archiving and accessibility

Schweinberger, Martin (2025). Indigenous Australian languages – linguistic features, revitalization efforts, and research infrastructure for archiving and accessibility. Hamburg, Germany: University of Hamburg.

Indigenous Australian languages – linguistic features, revitalization efforts, and research infrastructure for archiving and accessibility

2024

Journal Article

Seeded topic modeling as a more appropriate alternative to unsupervised standard topic models

Schweinberger, Martin (2024). Seeded topic modeling as a more appropriate alternative to unsupervised standard topic models. Discourse Studies. doi: 10.1177/14614456241293895

Seeded topic modeling as a more appropriate alternative to unsupervised standard topic models

2024

Other Outputs

Vulgarity in online discourse around the English-speaking world

Schweinberger, Martin (2024). Vulgarity in online discourse around the English-speaking world. Bonn, Germany: University of Bonn.

Vulgarity in online discourse around the English-speaking world

2024

Book Chapter

A corpus-based comparative acoustic analysis of target-like vowel production by L1-Japanese learners and native speakers of English

Schweinberger, Martin and Komiya, Yuki (2024). A corpus-based comparative acoustic analysis of target-like vowel production by L1-Japanese learners and native speakers of English. Crossing Boundaries through Corpora: Innovative corpus approaches within and beyond linguistics. (pp. 41-61) edited by Sarah Buschfeld, Patricia Ronan, Theresa Neumaier, Andreas Weilinghoff and Lisa Westermayer. Amsterdam, Netherlands: John Benjamins Publishing Company. doi: 10.1075/scl.119.03sch

A corpus-based comparative acoustic analysis of target-like vowel production by L1-Japanese learners and native speakers of English

2024

Book Chapter

Concluding remarks and future directions in studies on sociopragmatic variation

Schweinberger, Martin and Ronan, Patricia (2024). Concluding remarks and future directions in studies on sociopragmatic variation. Socio-pragmatic variation in Ireland: using pragmatic variation to construct social identities. (pp. 235-240) edited by Martin Schweinberger and Patricia Ronan. Berlin, Germany: De Gruyter Mouton. doi: 10.1515/9783110791457-012

Concluding remarks and future directions in studies on sociopragmatic variation

2024

Book Chapter

Boring much? Semantic determinants of constructional attraction in Irish English

Schweinberger, Martin and Ronan, Patricia (2024). Boring much? Semantic determinants of constructional attraction in Irish English. Socio-Pragmatic Variation in Ireland. (pp. 107-130) Berlin, Germany: De Gruyter. doi: 10.1515/9783110791457-007

Boring much? Semantic determinants of constructional attraction in Irish English

2024

Book Chapter

An introduction to sociopragmatic variation

Ronan, Patricia and Schweinberger, Martin (2024). An introduction to sociopragmatic variation. Socio-Pragmatic Variation in Ireland. (pp. 1-8) Berlin, Germany: De Gruyter. doi: 10.1515/9783110791457-001

An introduction to sociopragmatic variation

2024

Conference Publication

Automated, Corpus-and Usage-Based Semantic Classification of Word Class using Word Embeddings

Schweinberger, Martin and Luo, Chang-Hao (2024). Automated, Corpus-and Usage-Based Semantic Classification of Word Class using Word Embeddings. ICAME45, Vigo, Spain, 18-21 June 2024.

Automated, Corpus-and Usage-Based Semantic Classification of Word Class using Word Embeddings

2024

Other Outputs

Introduction to R for Social Science

Schweinberger, Martin (2024). Introduction to R for Social Science. Joensuu, Finland: University of Eastern Finland.

Introduction to R for Social Science

2024

Other Outputs

Introduction to Computational Text Analytics (Workshop)

Schweinberger, Martin and Hames, Sam (2024). Introduction to Computational Text Analytics (Workshop). Brisbane, QLD Australia: The University of Queensland.

Introduction to Computational Text Analytics (Workshop)

2024

Journal Article

Corpus-based discourse analysis: from meta-reflection to accountability

Bednarek, Monika, Schweinberger, Martin and Lee, Kelvin K. H. (2024). Corpus-based discourse analysis: from meta-reflection to accountability. Corpus Linguistics and Linguistic Theory, 20 (3), 1-28. doi: 10.1515/cllt-2023-0104

Corpus-based discourse analysis: from meta-reflection to accountability

2024

Journal Article

A corpus‐based analysis of adjective amplification in Hong Kong, Indian and Philippine English

Schweinberger, Martin (2024). A corpus‐based analysis of adjective amplification in Hong Kong, Indian and Philippine English. World Englishes. doi: 10.1111/weng.12640

A corpus‐based analysis of adjective amplification in Hong Kong, Indian and Philippine English

2024

Book Chapter

When natural language processing meets corpus linguistics

Schweinberger, Martin (2024). When natural language processing meets corpus linguistics. Digitally-assisted historical English linguistics. (pp. 73-88) edited by Carolina P. Amador-Moreno, Dagmar Haumann and Arne Peters. New York, NY, United States: Routledge. doi: 10.4324/9781003360285-6

When natural language processing meets corpus linguistics

2023

Other Outputs

Introduction to Dimension Reduction Methods with R

Schweinberger, Martin (2023). Introduction to Dimension Reduction Methods with R. Tromsø, Norway: The Arctic University of Norway.

Introduction to Dimension Reduction Methods with R

2023

Journal Article

On the L1-acquisition of the pragmatics of discourse like

Schweinberger, Martin (2023). On the L1-acquisition of the pragmatics of discourse like. Functions of Language, 30 (3), 255-286. doi: 10.1075/fol.20025.sch

On the L1-acquisition of the pragmatics of discourse like

2023

Other Outputs

F%$# Twitter. A corpus-based analysis of vulgar language on Twitter

Schweinberger, Martin (2023). F%$# Twitter. A corpus-based analysis of vulgar language on Twitter. Bayreuth, Germany: Bayreuth University.

F%$# Twitter. A corpus-based analysis of vulgar language on Twitter

2023

Journal Article

Research trends in corpus linguistics: a bibliometric analysis of two decades of Scopus-indexed corpus linguistics research in arts and humanities

Crosthwaite, Peter, Ningrum, Sulistya and Schweinberger, Martin (2023). Research trends in corpus linguistics: a bibliometric analysis of two decades of Scopus-indexed corpus linguistics research in arts and humanities. International Journal of Corpus Linguistics, 28 (3), 344-377. doi: 10.1075/ijcl.21072.cro

Research trends in corpus linguistics: a bibliometric analysis of two decades of Scopus-indexed corpus linguistics research in arts and humanities

2023

Conference Publication

An introduction to the resources provided by LADAL - the Language Technology and Data Analysis Laboratory

Schweinberger, Martin (2023). An introduction to the resources provided by LADAL - the Language Technology and Data Analysis Laboratory. 7th Meeting of the International Society for the Linguistics of English (ISLE7), Brisbane, QLD, Australia, 19 - 23 June 2023. Brisbane, QLD, Australia: University of Queensland.

An introduction to the resources provided by LADAL - the Language Technology and Data Analysis Laboratory

2023

Conference Publication

Who swears most – and in what social settings?

Schweinberger, Martin, Fatemi, Masoud, Hames, Sam, Haugh, Michael, Laitinen, Mikko, Rautionaho, Paula and Takahashi, Marissa (2023). Who swears most – and in what social settings?. 7th Meeting of the International Society for the Linguistics of English (ISLE7), Brisbane, QLD, Australia, 19-23 June 2023. Brisbane, QLD, Australia: University of Queensland.

Who swears most – and in what social settings?

Funding

Current funding

  • 2024 - 2028
    Language Data Commons of Australia (LDaCA-RDC)
    Australian Research Data Commons Limited
    Open grant

Past funding

  • 2021 - 2024
    Language Data Commons of Australia HASS RDC (LDaCA-RDC)
    ARDC - Australian Data Partnerships
    Open grant

Supervision

Availability

Dr Martin Schweinberger is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    A corpus-based analysis of conspiracy theory discourse on Reddit: Understanding conspiracy-fuelled anomie and moral panics during COVID-19

    Principal Advisor

    Other advisors: Professor Ryan Ko

  • Doctor Philosophy

    Examining Changes in Conspiracy Discourse on Reddit from 2019 - 2023

    Principal Advisor

    Other advisors: Professor Ryan Ko

  • Doctor Philosophy

    A multifactorial study of morpho-syntactic errors across different L1 backgrounds and language proficiency levels

    Principal Advisor

    Other advisors: Associate Professor Peter Crosthwaite

  • Doctor Philosophy

    Integrating Artificial Intelligence and Machine Learning in TESOL: A Study on Personalised Learning and Impact on Student Engagement and Motivation in A Rural Indonesian University

    Associate Advisor

    Other advisors: Associate Professor Peter Crosthwaite

  • Doctor Philosophy

    EFL writers' knowledge and use of appraisal language, factors that affect such use, and the influence of such appraisal language use on the quality of these writers' essays

    Associate Advisor

    Other advisors: Associate Professor Peter Crosthwaite

  • Doctor Philosophy

    The Relationship Between Writing Tasks and Second Language Writers¿ Use of Metadiscourse

    Associate Advisor

    Other advisors: Associate Professor Peter Crosthwaite

  • Doctor Philosophy

    Corpus-based investigation of three-minute thesis presentations: Register perspective

    Associate Advisor

    Other advisors: Associate Professor Peter Crosthwaite

  • Doctor Philosophy

    EFL writers' knowledge and use of appraisal language, factors that affect such use, and the influence of such appraisal language use on the quality of these writers' essays

    Associate Advisor

    Other advisors: Associate Professor Peter Crosthwaite

Completed supervision

Media

Enquiries

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communications@uq.edu.au