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1
Speech-unit final "like" in Irish English
In: English world-wide. - Amsterdam [u.a.] : Benjamins 41 (2020) 1, 89-117
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2
How learner corpus-research can inform language learning and teaching
Schweinberger, Martin. - : John Benjamins Publishing, 2020
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3
Less is more? The impact of written corrective feedback on corpus-assisted L2 error resolution
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4
Using Semantic Vector Space Models to investigate lexical replacement – a corpus based study of ongoing changes in intensifier systems
Schweinberger, Martin. - : Peter Lang, 2020
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5
How learner corpus research can inform language learning and teaching: an analysis of adjective amplification among L1 and L2 English speakers
Schweinberger, Martin. - : John Benjamins Publishing, 2020
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6
Speech-unit final like in Irish English
Schweinberger, Martin. - : John Benjamins Publishing, 2020
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7
A Sociolinguistic Analysis of Emotives [<Journal>]
Schweinberger, Martin [Verfasser]
DNB Subject Category Language
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8
A sociolinguistic analysis of emotives
Schweinberger, Martin. - : Springer, 2019
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9
Swearing in Irish English: a corpus-based quantitative analysis of the sociolinguistics of swearing
Schweinberger, Martin. - : Elsevier, 2018
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10
The sociolinguistics of emotional language - emotive use in Irish English
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11
Swearing in Irish English - a corpus-based quantitative analysis of the sociolinguistics of swearing
Schweinberger, Martin. - : Elsevier, 2018
Abstract: This study analyzes the effect of sociolinguistic variables on the frequency of swear words in Irish English based on the private dialogue section of the Irish component of the International Corpus of English (ICE). The results of mixed-effects regression models show that speakers between 19 and 33 are substantially more likely to use swear words compared with speakers aged 34 and older. With respect to gender, the results confirm a significant gender difference as men are significantly more likely to use swear words compared with women. Furthermore, speakers from the Republic of Ireland, i.e. speakers of Southern Irish English, are significantly less likely to use swear words compared with speakers from Northern Ireland. Finally, speakers are more likely to use swear words in same-gender conversations compared with mixed-gender conversation irrespective of gender. (C) 2018 Elsevier B.V. All rights reserved.
Keyword: Expletives; Life; Profanity; Women; Words
URL: https://espace.library.uq.edu.au/view/UQ:dfdc24a
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12
The discourse particle eh in New Zealand English
Schweinberger, Martin. - : Routledge, 2018
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13
Using semantic vector space models to investigate lexical replacement - a corpus based study of ongoing changes in intensifier systems
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14
A comparative study of the pragmatic marker "like" in Irish English and in south-eastern varieties of British English
In: Pragmatic markers in Irish English. - Amsterdam [u.a.] : Benjamins (2015), 114-134
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15
The discourse marker LIKE : a corpus-based analysis of selected varieties of English
Schweinberger, Martin [Verfasser]; Siemund, Peter [Akademischer Betreuer]. - Hamburg : Staats- und Universitätsbibliothek Hamburg, 2014
DNB Subject Category Language
Online dissertations
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16
The discourse marker LIKE : a corpus-based analysis of selected varieties of English ; Der Diskursmarker LIKE : eine korpusbasierte Untersuchung ausgewählter Varietäten des Englischen
Schweinberger, Martin. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2014
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17
Studying the linguistic ecology of Singapore: a comparison of college and university students
In: World Englishes : Special Issue: English in multilingual singapore. - 33, 3 (2014) , 340-362, ISSN: 1467-971X (2014)
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18
Studying the linguistic ecology of Singapore: a comparison of college and university students
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19
The discourse marker LIKE: a corpus-based analysis of selected varieties of English
Schweinberger, Martin. - : Universität Hamburg, Institut für Anglistik und Amerikanistik, 2014
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20
New approaches to the study of linguistic variability
Wilson, Andrew; Kaviti, Lillian; Koll-Stobbe, Amei (Hrsg.). - Frankfurt am Main : Lang-Ed., 2013
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UB Frankfurt Linguistik
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