Study of Information Generating Linguistic Features in Online University Prospectuses
Abstract
This research studies the function of language of online university prospectuses through 1st dimension, i.e., involved versus informational production, of multidimensional analysis modeled by Biber (1988). A corpus based methodology is used. Corpus has been collected from about us, facilities, department, and vice chancellor message and library sections of Pakistan, UK and India. Multidimensional tagger (v 1.0) is used to tag and analyze the data. Scores and co-occurrences of linguistic features are calculated quantitatively and are interpreted qualitatively through 1st dimension of multidimensional analysis. The results show that online university prospectuses are informational in its nature. Cross culturally, India is highly informational and UK is less informational due to their highest negative and less negative score respectively. It is also observed that department section is highly informational and vice chancellor is less informational and more interactional in their nature. Highly informational texts are carefully written and provide bundles of information.
Keywords: Online university prospectuses, Multidimensional analysis, Corpus, Co-occurrence of linguistic features, Informational features, Involved features
To list your conference here. Please contact the administrator of this platform.
Paper submission email: RHSS@iiste.org
ISSN (Paper)2224-5766 ISSN (Online)2225-0484
Please add our address "contact@iiste.org" into your email contact list.
This journal follows ISO 9001 management standard and licensed under a Creative Commons Attribution 3.0 License.
Copyright © www.iiste.org