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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 would consider myself 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 Australian Text Analytics Platform (ATAP) where I focus on producing resources and training through LADAL. I am also CI and on the advisory committee of the Language Data Commons of Australia (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

  • Language variation and change

  • Computational and quantitative analyses

  • Corpus linguistics

  • First and second language acquisition

  • Discourse markers and particles

  • Adjective intensification

Works

Search Professor Martin Schweinberger’s works on UQ eSpace

85 works between 2008 and 2024

21 - 40 of 85 works

2023

Other Outputs

Text Analytics with Language Technology and Data Analysis Laboratory Resources: an introduction to free, open-source interactive resources for linguists

Schweinberger, Martin (2023). Text Analytics with Language Technology and Data Analysis Laboratory Resources: an introduction to free, open-source interactive resources for linguists. Hamburg, Germany: University of Hamburg.

Text Analytics with Language Technology and Data Analysis Laboratory Resources: an introduction to free, open-source interactive resources for linguists

2023

Other Outputs

An introduction to conditional inference trees in R

Schweinberger, Martin (2023). An introduction to conditional inference trees in R. Bonn, Germany: Rheinische Friedrich-Wilhelms-University.

An introduction to conditional inference trees in R

2022

Conference Publication

A corpus-based computational analysis of high-front and -back vowel production of L1-Japanese learners of English and L1-English speakers

Schweinberger, Martin and Komiya, Yuki (2022). A corpus-based computational analysis of high-front and -back vowel production of L1-Japanese learners of English and L1-English speakers. Australasian International Conference on Speech Science and Technology, Canberra, ACT, Australia, 13 - 16 December 2022. Canberra, ACT, Australia: Australasian Speech Science and Technology Association.

A corpus-based computational analysis of high-front and -back vowel production of L1-Japanese learners of English and L1-English speakers

2022

Conference Publication

Exploring powerful tools to ensure robust and reproducible results in corpus linguistics

Schweinberger, Martin, Flanaghan, Joseph and Schneider, Gerold (2022). Exploring powerful tools to ensure robust and reproducible results in corpus linguistics. 43rd Meeting of the International Computer Archive of Modern and Medieval English (ICAME43), Cambridge, United Kingdom, 18 - 21 August 2021. Cambridge, United Kingdom: TU Dortmund University.

Exploring powerful tools to ensure robust and reproducible results in corpus linguistics

2022

Conference Publication

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

Crosthwaite, P., Ningrum, S. and Schweinberger, M. (2022). Research trends in corpus linguistics: a bibliometric analysis of two decades of Scopus-indexed corpus linguistics research in arts and humanities. ICAME43, Cambridge, United Kingdom, 27-30 July 2022.

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

2022

Other Outputs

From tables to forests – working with tables and tree-based models

Schweinberger, Martin (2022). From tables to forests – working with tables and tree-based models. Tromsø, Norway: The Arctic University of Norway.

From tables to forests – working with tables and tree-based models

2022

Other Outputs

Introduction to Power Analysis with R

Schweinberger, Martin (2022). Introduction to Power Analysis with R. Tromsø, Norway: The Arctic University of Norway.

Introduction to Power Analysis with R

2022

Other Outputs

Introduction to data visualization with R

Schweinberger, Martin (2022). Introduction to data visualization with R. Tromsø, Norway: The Arctic University of Norway.

Introduction to data visualization with R

2022

Book Chapter

Absolutely fantastic and really really good

Schweinberger, Martin (2022). Absolutely fantastic and really really good. Expanding the landscapes of Irish English research. (pp. 129-145) edited by Stephen Lucek and Carolina P. Amador-Moreno. New York, NY, United States: Routledge. doi: 10.4324/9781003025078-7

Absolutely fantastic and really really good

2021

Journal Article

Ongoing change in the Australian English amplifier system

Schweinberger, Martin (2021). Ongoing change in the Australian English amplifier system. Australian Journal of Linguistics, 41 (2), 166-194. doi: 10.1080/07268602.2021.1931028

Ongoing change in the Australian English amplifier system

2021

Journal Article

Training disciplinary genre awareness through blended learning: an exploration into EAP students’ perceptions of online annotation of genres across disciplines

Crosthwaite, Peter, Sanhueza, Alicia Gazmuri and Schweinberger, Martin (2021). Training disciplinary genre awareness through blended learning: an exploration into EAP students’ perceptions of online annotation of genres across disciplines. Journal of English for Academic Purposes, 53 101021, 1-16. doi: 10.1016/j.jeap.2021.101021

Training disciplinary genre awareness through blended learning: an exploration into EAP students’ perceptions of online annotation of genres across disciplines

2021

Journal Article

Which word gets the nuclear stress in a turn-at-talk?

Ruhlemann, Christoph and Schweinberger, Martin (2021). Which word gets the nuclear stress in a turn-at-talk?. Journal of Pragmatics, 178, 426-439. doi: 10.1016/j.pragma.2021.04.005

Which word gets the nuclear stress in a turn-at-talk?

2021

Journal Article

Voices from the periphery: perceptions of Indonesian primary vs secondary pre-service teacher trainees about corpora and data-driven learning in the L2 English classroom

Crosthwaite, Peter, Luciana and Schweinberger, Martin (2021). Voices from the periphery: perceptions of Indonesian primary vs secondary pre-service teacher trainees about corpora and data-driven learning in the L2 English classroom. Applied Corpus Linguistics, 1 (1) 100003, 1-13. doi: 10.1016/j.acorp.2021.100003

Voices from the periphery: perceptions of Indonesian primary vs secondary pre-service teacher trainees about corpora and data-driven learning in the L2 English classroom

2021

Other Outputs

Tree-Based Models in R

Schweinberger, Martin (2021). Tree-Based Models in R. Brisbane, QLD Australia: School of Languages and Cultures.

Tree-Based Models in R

2021

Book Chapter

On the waning of forms – a corpus-based analysis of decline and loss in adjective amplification

Schweinberger, Martin (2021). On the waning of forms – a corpus-based analysis of decline and loss in adjective amplification. Lost in change: causes and processes in the loss of grammatical elements and constructions. (pp. 235-260) edited by Svenja Kranich and Tine Breban . Amsterdam, Netherlands: John Benjamins Publishing Company. doi: 10.1075/slcs.218.08sch

On the waning of forms – a corpus-based analysis of decline and loss in adjective amplification

2021

Other Outputs

The Language Technology and Data Analysis Laboratory (LADAL)

Schweinberger, Martin (2021). The Language Technology and Data Analysis Laboratory (LADAL). Brisbane, QLD Australia: The University of Queensland.

The Language Technology and Data Analysis Laboratory (LADAL)

2021

Other Outputs

Fixed- and Mixed-Effects Regression Models in R

Schweinberger, Martin (2021). Fixed- and Mixed-Effects Regression Models in R. Brisbane, QLD Australia: School of Languages and Cultures.

Fixed- and Mixed-Effects Regression Models in R

2021

Journal Article

Analysing discourse around COVID-19 in the Australian Twittersphere: a real-time corpus-based analysis

Schweinberger, Martin, Haugh, Michael and Hames, Sam (2021). Analysing discourse around COVID-19 in the Australian Twittersphere: a real-time corpus-based analysis. Big Data and Society, 8 (1), 205395172110214. doi: 10.1177/20539517211021437

Analysing discourse around COVID-19 in the Australian Twittersphere: a real-time corpus-based analysis

2021

Book Chapter

Using intensifier-adjective collocations to investigate mechanisms of change

Schweinberger, Martin (2021). Using intensifier-adjective collocations to investigate mechanisms of change. Variation in time and space: observing the world through corpora. (pp. 231-255) edited by Anna Čermáková and Markéta Malá. Berlin, Germany: De Gruyter. doi: 10.1515/9783110604719-010

Using intensifier-adjective collocations to investigate mechanisms of change

2020

Journal Article

A corpus-based analysis of differences in the use of very for adjective amplification among native speakers and learners of English

Schweinberger, Martin (2020). A corpus-based analysis of differences in the use of very for adjective amplification among native speakers and learners of English. International Journal of Learner Corpus Research, 6 (2), 163-192. doi: 10.1075/ijlcr.20011.sch

A corpus-based analysis of differences in the use of very for adjective amplification among native speakers and learners of English

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

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

  • 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

    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

    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

  • 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

Completed supervision

Media

Enquiries

For media enquiries about Dr Martin Schweinberger's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au