Muhammad Shakir Aziz


Akademischer Werdegang
SoSe 2016 Aufnahme in das Promotionskolleg Empirische und Angewandte Sprachwissenschaft, WWU Münster
2012-2014 MS English Linguistics (2 Year), Lahore Leads University, Lahore
2010 MA English Linguistics (2 Year), GC University, Faisalabad
2008 PGD in English Linguistics (1 Year), GC University, Faisalabad
2006 B. Com., Punjab University
2004 FSc (Pre-Engineering), Faisalabad Board
2002 Matric, Faisalabad Board
Universitäre/Wissenschaftliche Tätigkeiten
Former Lecturer at Centre for Languages and Translation Studies, University of Gujrat, Pakistan
Taught Linguistics (College Level) Visiting Faculty
Run a Blog on Linguistics
Taught at Govt. College University, Faisalabad, Pakistan (Visiting Faculty)


A Corpus based Comparison of Variation in Online Registers of Pakistani English

The advent and popularity of the internet has created a host of new registers in (Pakistani) English. It provides a unique place of interaction between users of English regardless of their national origins. This phenomenon can cause similarities between online registers of different national varieties of English, at the same time linguistic features unique to offline registers of a variety can also be present in these online registers. The online registers of Pakistani English have not been studied until now, which the present study aims to do. The Multidimensional Analysis (MDA) framework is suitable for the study of such variation. Biber (1988)’s 5 Dimension MDA model will be used to compare the online registers of Pakistani English with equivalent registers in U.S. English to determine variation due to national origin. As a second step, the same model will be used to compare online registers of Pakistani and U.S. Englishes with similar offline registers of the respective varieties. This two-step comparison will help understand the effect of the internet on variation between online versus offline and native versus non-native register varieties. The variation within the online registers of Pakistani English will be explored by conducting a new Factor Analysis (i.e. a new MDA) to calculate new dimensions of variation. Furthermore, a Principal Component Analysis will be conducted to identify clusters of texts (or text types) based on dimension scores of individual texts. The data will consist of online registers of Pakistani English (News Blogs, Individual Blogs, Technology Blogs, Multi-writer Blogs, Facebook Groups, Facebook Status Updates, and Twitter Tweets). The same registers from U.S. English will be collected. The data for similar offline registers i.e. News Reports, Opinion Columns and Conversational Texts (of both Pakistani and U.S. Englishes) will be collected from existing corpora of the respective variety.