dc.contributor.author | Kiyama, Naoki | |
dc.contributor.author | Shibuya, Yoshikata | |
dc.date.accessioned | 2024-01-03T09:39:14Z | |
dc.date.available | 2024-01-03T09:39:14Z | |
dc.date.issued | 2023-12-28 | |
dc.identifier.issn | 1731-7533 | |
dc.identifier.uri | http://hdl.handle.net/11089/49000 | |
dc.description.abstract | 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. | en |
dc.language.iso | en | |
dc.publisher | Wydawnictwo Uniwersytetu Łódzkiego | pl |
dc.relation.ispartofseries | Research in Language;2 | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0 | |
dc.subject | topic models | en |
dc.subject | polysemy | en |
dc.subject | semantic frequency shifts | en |
dc.subject | meaning in society | en |
dc.subject | the NOW corpus | en |
dc.title | A Topic-Based Diachronic Account of the Polysemy of the English Verb ‘Run’ | en |
dc.type | Article | |
dc.page.number | 145-158 | |
dc.contributor.authorAffiliation | Kiyama, Naoki - The University of Kitakyushu | en |
dc.contributor.authorAffiliation | Shibuya, Yoshikata - Kanazawa University | en |
dc.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 | en |
dc.references | 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. | en |
dc.references | 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 | en |
dc.references | 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 | en |
dc.references | Croft, William and Cruse, Alan. 2004. Cognitive Linguistics. Cambridge University Press. https://doi.org/10.1017/CBO9780511803864 | en |
dc.references | Davies, Mark. 2016-. Corpus of News on the Web (NOW). Available online at https://corpus.byu.edu/now/. | en |
dc.references | Deignan, Alice. 2005. Metaphor and Corpus Linguistics. John Benjamins. https://doi.org/10.1075/celcr.6 | en |
dc.references | Divjak, Dagmar. 2019. Frequency in Language. Cambridge University Press. https://doi.org/10.1017/9781316084410 | en |
dc.references | Fillmore, Charles J. 1982. Frame Semantics. In The Linguistics Society of Korea (ed.), Linguistics in the Morning Calm, 111–137. Hanshin Publishing Company. | en |
dc.references | 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 | en |
dc.references | 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 | en |
dc.references | 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 | en |
dc.references | 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 | en |
dc.references | 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 | en |
dc.references | 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 | en |
dc.references | 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 | en |
dc.references | Köövecses, Zoltáán. 2006. Language, Mind, and Culture: A Practical Introduction. Oxford University Press. | en |
dc.references | 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 | en |
dc.references | 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 | en |
dc.references | Taylor, John R. 1995. Linguistics Categorization. Oxford University Press. | en |
dc.references | 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 | en |
dc.contributor.authorEmail | Kiyama, Naoki - n-kiyama@kitakyu-u.ac.jp | |
dc.contributor.authorEmail | Shibuya, Yoshikata - y.shibuya@staff.kanazawa-u.ac.jp | |
dc.identifier.doi | 10.18778/1731-7533.21.2.03 | |
dc.relation.volume | 21 | |