A Topic-Based Diachronic Account of the Polysemy of the English Verb ‘Run’
DOI:
https://doi.org/10.18778/1731-7533.21.2.03Keywords:
topic models, polysemy, semantic frequency shifts, meaning in society, the NOW corpusAbstract
This study discusses the polysemy and diachronic semantic frequency shifts of the English verb run using a topic model. The increase in corpus-based research in cognitive linguistics has yielded many empirical findings on various aspects of language. However, there are still areas that have not received sufficient attention. One such area is the study of word meaning in terms of related topics and social interest. In this paper, we analyze diachronic data collected from the NOW corpus (News on Web) and argue that the polysemy of run can be described in terms of topic, and that the change in the use of the meanings that this verb has can be described in terms of a change in social interest.
References
Bybee, Joan. 2013. Usage-Based Theory and Exemplar Representations of Constructions. In T. Hoffmann and G. Trousdale (eds.), The Oxford Handbook of Construction Grammar, 49-69. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780195396683.013.0004
Google Scholar
DOI: https://doi.org/10.1093/oxfordhb/9780195396683.013.0004
Chang, Jonathan, Boyd-Graber, Jordan, Gerrish, Sean, Wang, Chong, and Blei, David M. 2009. Reading Tea Leaves: How Humans Interpret Topic Models. Proceedings of the 22nd International Conference on Neural Information Processing Systems (NIPS’09), 288-296.
Google Scholar
Croft, William. 1993. The Role of Domains in the Interpretation of Metaphors and Metonymies. Cognitive Linguistics, 4(4), 335-370. https://doi.org/10.1515/cogl.1993.4.4.335
Google Scholar
DOI: https://doi.org/10.1515/cogl.1993.4.4.335
Croft, William. 2009. Toward a Social Cognitive Linguistics. In V. Evans and S. Pourcel (eds.), New Directions in Cognitive Linguistics, 395-420. John Benjamins. https://doi.org/10.1075/hcp.24.25cro
Google Scholar
DOI: https://doi.org/10.1075/hcp.24.25cro
Croft, William and Cruse, Alan. 2004. Cognitive Linguistics. Cambridge University Press. https://doi.org/10.1017/CBO9780511803864
Google Scholar
DOI: https://doi.org/10.1017/CBO9780511803864
Davies, Mark. 2016-. Corpus of News on the Web (NOW). Available online at https://corpus.byu.edu/now/.
Google Scholar
Deignan, Alice. 2005. Metaphor and Corpus Linguistics. John Benjamins. https://doi.org/10.1075/celcr.6
Google Scholar
DOI: https://doi.org/10.1075/celcr.6
Divjak, Dagmar. 2019. Frequency in Language. Cambridge University Press. https://doi.org/10.1017/9781316084410
Google Scholar
DOI: https://doi.org/10.1017/9781316084410
Fillmore, Charles J. 1982. Frame Semantics. In The Linguistics Society of Korea (ed.), Linguistics in the Morning Calm, 111–137. Hanshin Publishing Company.
Google Scholar
Glynn, Dylan. 2014. The Many Uses of Run: Corpus Methods and Soci-Cognitive Semantics. In D. Glynn and J. A. Robinson (eds.), Corpus Methods for Semantics: Quantitative Studies in Polysemy and Synonymy, 117-144. John Benjamins. https://doi.org/10.1075/hcp.43.05gly
Google Scholar
DOI: https://doi.org/10.1075/hcp.43.05gly
Gries, Stefan Th. 2006. Corpus-Based Methods and Cognitive Semantics: The Many Senses of to Run. In S. T. Gries and A. Stefanowitsch (eds.), Corpora in Cognitive Linguistics Corpus-Based Approaches to Syntax and Lexis, 57-99. Mouton de Gruyter. https://doi.org/10.1515/9783110197709.57
Google Scholar
DOI: https://doi.org/10.1515/9783110197709.57
Gries, Stefan Th. and Hilpert, Martin. 2008. The Identification of Stages in Diachronic Data: Variability-Based Neighbor Clustering. Corpora, 3(1), 59-81. https://doi.org/10.3366/E1749503208000075
Google Scholar
DOI: https://doi.org/10.3366/E1749503208000075
Harder, Peter. 2010. Meaning in Mind and Society: A Functional Contribution to the Social Turn in Cognitive Linguistics. Mouton de Gruyter. https://doi.org/10.1515/9783110216059
Google Scholar
DOI: https://doi.org/10.1515/9783110216059
Hilpert, Martin. 2012. Diachronic Collostructional Analysis: How to Use it and How to Deal with Confounding Factors. In K. Allan and J. A. Robinson (eds.), Current Methods in Historical Semantics, 133-160. Mouton de Gruyter. https://doi.org/10.1515/9783110252903.133
Google Scholar
DOI: https://doi.org/10.1515/9783110252903.133
Hilpert, Martin. 2020. The Great Temptation: What Diachronic Corpus Data Do and Do Not Reveal about Social Change. In A. Nurmi, P. Rautionaho and J. Klemola (eds.), Corpora and the Changing Society: Studies in the Evolution of English, 3-28. John Benjamins. https://doi.org/10.1075/scl.96.01hil
Google Scholar
DOI: https://doi.org/10.1075/scl.96.01hil
Jansegers, Marlies and Gries, Stefan Th. 2017. Towards a Dynamic Behavioral Profile: A Diachronic Study of Polysemous Sentir in Spanish. Corpus Linguistics and Linguistic Theory, 16(1), 145-187. https://doi.org/10.1515/cllt-2016-0080
Google Scholar
DOI: https://doi.org/10.1515/cllt-2016-0080
Köövecses, Zoltáán. 2006. Language, Mind, and Culture: A Practical Introduction. Oxford University Press.
Google Scholar
Peirsman, Yves, Heylen, Kris, and Geeraerts, Dirk. 2010. Applying Word Space Models to Sociolinguistics. Religion Names Before and After 9/11. In D. Geeraerts, G. Kristiansen, and Y. Peirsman (eds.), Advances in Cognitive Sociolinguistics, 111-137. Mouton de Gruyter. https://doi.org/10.1515/9783110226461.111
Google Scholar
DOI: https://doi.org/10.1515/9783110226461.111
Sagi, Eyal, Kaufmann, Stefan, and Clark, Brady. 2012. Tracing Semantic Change with Latent Semantic Analysis. In K. Allan and J. A. Robinson (eds.), Current Methods in Historical Semantics, 161-183. Mouton de Gruyter. https://doi.org/10.1515/9783110252903.161
Google Scholar
DOI: https://doi.org/10.1515/9783110252903.161
Taylor, John R. 1995. Linguistics Categorization. Oxford University Press.
Google Scholar
Yan, Xiaohui, Guo, Jiafeng, Lan, Yanyan, and Cheng, Xueqi. 2013. A Biterm Topic Model for Short Texts. Proceedings of the 22nd International Conference on World Wide Web, 1445-1456. https://doi.org/10.1145/2488388.2488514
Google Scholar
DOI: https://doi.org/10.1145/2488388.2488514
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Funding data
-
Japan Society for the Promotion of Science
Grant numbers Grant Number 20K00667