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2023 Other Outputs Text Analytics with Language Technology and Data Analysis Laboratory Resources: an introduction to free, open-source interactive resources for linguistsSchweinberger, 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. |
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2023 Other Outputs An introduction to conditional inference trees in RSchweinberger, Martin (2023). An introduction to conditional inference trees in R. Bonn, Germany: Rheinische Friedrich-Wilhelms-University. |
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2022 Conference Publication A corpus-based computational analysis of high-front and -back vowel production of L1-Japanese learners of English and L1-English speakersSchweinberger, 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. |
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2022 Conference Publication Exploring powerful tools to ensure robust and reproducible results in corpus linguisticsSchweinberger, 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. |
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2022 Conference Publication Research trends in corpus linguistics: a bibliometric analysis of two decades of Scopus-indexed corpus linguistics research in arts and humanitiesCrosthwaite, 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. |
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2022 Other Outputs From tables to forests – working with tables and tree-based modelsSchweinberger, Martin (2022). From tables to forests – working with tables and tree-based models. Tromsø, Norway: The Arctic University of Norway. |
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2022 Other Outputs Introduction to Power Analysis with RSchweinberger, Martin (2022). Introduction to Power Analysis with R. Tromsø, Norway: The Arctic University of Norway. |
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2022 Other Outputs Introduction to data visualization with RSchweinberger, Martin (2022). Introduction to data visualization with R. Tromsø, Norway: The Arctic University of Norway. |
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2022 Book Chapter Absolutely fantastic and really really goodSchweinberger, 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 |
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2021 Journal Article Ongoing change in the Australian English amplifier systemSchweinberger, Martin (2021). Ongoing change in the Australian English amplifier system. Australian Journal of Linguistics, 41 (2), 166-194. doi: 10.1080/07268602.2021.1931028 |
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2021 Journal Article Training disciplinary genre awareness through blended learning: an exploration into EAP students’ perceptions of online annotation of genres across disciplinesCrosthwaite, 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 |
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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 |
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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 classroomCrosthwaite, 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 |
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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. |
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2021 Other Outputs Fixed- and Mixed-Effects Regression Models in RSchweinberger, Martin (2021). Fixed- and Mixed-Effects Regression Models in R. Brisbane, QLD Australia: School of Languages and Cultures. |
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2021 Journal Article Analysing discourse around COVID-19 in the Australian Twittersphere: a real-time corpus-based analysisSchweinberger, 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 |
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2021 Book Chapter Using intensifier-adjective collocations to investigate mechanisms of changeSchweinberger, 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 |
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2021 Other Outputs Tree-Based Models in RSchweinberger, Martin (2021). Tree-Based Models in R. Brisbane, QLD Australia: School of Languages and Cultures. |
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2021 Book Chapter On the waning of forms – a corpus-based analysis of decline and loss in adjective amplificationSchweinberger, 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 |
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2020 Journal Article A corpus-based analysis of differences in the use of very for adjective amplification among native speakers and learners of EnglishSchweinberger, 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 |
