Abstract
This paper uses Wmatrix to generate semantic tagging to compare corpora of media representations between the American Dream and the Chinese Dream. The USAS tagger is used to assign the semantic field tags to the America Dream Corpus (ADC) and the Chinese Dream Corpus (CDC). The motivation of this study is to replicate the studies using an automated and inclusive method based on semantic tagging (Potts, A. & P. Baker. 2012. Does semantic tagging identify cultural change in British and American English? International Journal of Corpus Linguistics 17(3). 295–324), and more importantly, to conduct a broad semantic categorization on both national dreams so as to uncover the cultural, social and historical similarities and/or differences. It is found that the cultural difference of the individualistic home and work association of the American Dream versus the collectivistic nation and world attributions of the Chinese Dream. The different historical stage and social-economic contexts are disclosed from the different temporal positions from time category, and the contrastive tags associated with negative representation of the American Dream and positive representation of the Chinese Dream.
Funding statement: The work described in this paper was substantially supported by Guangdong Province High-level University Foundation, granted from Jinan University at Shenzhen, China (grant number:88018052).
References
Adams, J. T. 1931. The epic of America. New York, NY: Atlantic Monthly Press.Search in Google Scholar
Al-Hejin, B. 2015. Covering Muslim women: Semantic macrostructures in BBC news. Discourse & Communication 9(1). 19–46.10.1177/1750481314555262Search in Google Scholar
Callahan, W. A. 2013. China dream: Twenty versions of the future. Oxford: Oxford University Press.Search in Google Scholar
Cullen, J. 2003. The American dream: A short history of an idea that shaped a nation. New York, NY: Oxford University Press.Search in Google Scholar
Hochschild, Jennifer L. 1995. Facing up to the American dream: Race, class, and the soul of the nation. Princeton, NJ: Princeton University Press.10.1515/9781400821730Search in Google Scholar
Huang, Huaguang & Jianzhang Luan. 2013. The roadmap of the eighteenth CPC national congress and the Chinese Dream. Beijing: Foreign Language Press.Search in Google Scholar
Hubbard, H. 2010. Stance and style: A corpus-driven perspective on television coverage of the 2OO9 South African general election. Language Matters 41(1). 3–24.10.1080/10228191003786268Search in Google Scholar
Jillson, C. 2004. Pursuing the American dream: Opportunity and exclusion over four centuries. Lawrence: University Press of Kansas.Search in Google Scholar
Li, Junru. 2014. The Chinese path and the Chinese dream. Beijing: Foreign Language Press.Search in Google Scholar
McMahon, D. M. 2006. Happiness: A history. New York: Atlantic Monthly Press.Search in Google Scholar
McQuaid, S. M., M. Woodworth, E. L. Hutton, S. Porter & L. Ten Brinke. 2015. Automated insights: Verbal cues to deception in real-life high-stakes lies. Psychology, Crime & Law 21(7). 617–631.10.1080/1068316X.2015.1008477Search in Google Scholar
Meacham, J. 2012. Keeping the dream alive. Time. http://content.time.com/time/specials/packages/article/0,28804,2117662_2117682_2117680,00.html (accessed 20 December 2018).Search in Google Scholar
Murphy, A. C. 2013. On “true” portraits of letters to shareholders – and the importance of phraseological analysis. International Journal of Corpus Linguistics 18(1). 57–81.10.1075/ijcl.18.1.06murSearch in Google Scholar
O’Halloran, K. 2011. Investigating argumentation in reading groups: Combining manual qualitative coding and automated corpus analysis tools. Applied Linguistics 32(2). 172–196.10.1093/applin/amq041Search in Google Scholar
Pena, D. S. 2015. Comparing the Chinese dream with the American dream. International Critical Thought 5(3). 277–295.10.1080/21598282.2015.1064777Search in Google Scholar
Potts, A. 2015. Filtering the flood: Semantic tagging as a method of identifying salient discourse topics in a large corpus of Hurricane Katrina reportage. In Paul Baker & Tony McEnery (eds.), Corpora and discourse studies, 285–304. Basingstoke: Palgrave.10.1057/9781137431738_14Search in Google Scholar
Potts, A. & P. Baker. 2012. Does semantic tagging identify cultural change in British and American English? International Journal of Corpus Linguistics 17(3). 295–324.10.1075/ijcl.17.3.01potSearch in Google Scholar
Prentice, S. 2010. Using automated semantic tagging in critical discourse analysis: A case study on Scottish independence from a Scottish nationalist perspective. Discourse and Society 21(4). 405–437.10.1177/0957926510366198Search in Google Scholar
Rajan, D. S. 2013. China: Xi Jinping’s “Chinese Dream” – A critique. http://www.c3sindia.org/china-internal/3693 (accessed 20 December 2018).Search in Google Scholar
Rayson, P. 2008. From key words to key semantic domains. International Journal of Corpus Linguistics 13(4). 519–549.10.1075/ijcl.13.4.06raySearch in Google Scholar
Rayson, P., Archer, D., Piao, S. L. & McEnery, T. 2004. “The UCREL semantic analysis system”. In Proceedings of the Workshop on Beyond Named Entity Recognition Semantic Labelling for NLP Tasks in Association with 4th International Conference on Language Resources and Evaluation (LREC 2004), 25th May 2004, Lisbon, Portugal, 7–12.Search in Google Scholar
Speth, G. 2011. What is the American dream? Dueling dualities in the American tradition. Grist. https://grist.org/politics/2011-06-24-what-is-the-american-dream-dueling-dualities-in-the-american-tra/(accessed 20 December 2018).Search in Google Scholar
Sun, Y. & J. Jiang. 2014. Metaphor use in Chinese and US corporate mission statements: A cognitive sociolinguistic analysis. English for Specific Purposes 33. 4–14.10.1016/j.esp.2013.07.005Search in Google Scholar
Tognini-Bonelli, E. 2001. Corpus linguistics at work (Studies in Corpus Linguistics 6). Amsterdam: John Benjamins.10.1075/scl.6Search in Google Scholar
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