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Corpus Linguistics and Linguistic Theory

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The lexical context in a style analysis: A word embeddings approach

Miroslav KubátORCID iD: http://orcid.org/0000-0002-3398-3125 / Jan Hůla / Xinying Chen / Radek Čech / Jiří MiličkaORCID iD: http://orcid.org/0000-0001-8605-1199
Published Online: 2018-11-16 | DOI: https://doi.org/10.1515/cllt-2018-0003

Abstract

This is a pilot study of usability of Context Specificity measure for stylometric purposes. Specifically, the word embedding Word2vec approach based on measuring lexical context similarity between lemmas is applied to the analysis of texts that belong to different styles. Three types of Czech texts are investigated: fiction, non-fiction, and journalism. Specifically, forty lemmas were observed (10 lemmas each for verbs, nouns, adjectives, and adverbs). The aim of the present study is to introduce a concept of the Context Specificity and to test whether this measurement is sensitive to different styles. The results show that the proposed method Closest Context Specificity (CCS) is a corpus size independent method which has a promising potential in analyzing different styles.

Keywords: neural networks; word embedding; word2vec; stylometry; style

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About the article

Miroslav Kubát

Miroslav Kubát (born 1984, Ph.D. Palacký University 2015) is an assistant professor in Czech Language at the University of Ostrava (Czech Republic). His research interests focus on quantitative linguistics and stylometry. He specializes in quantitative indices of text analysis, such as vocabulary richness, activity and context specificity.

Jan Hůla

Jan Hůla (born 1985, MgA. Tomas Bata University, 2011) is a PhD student at the Institute for Research and Applications of Fuzzy Modeling, Faculty of Science, University of University. He specializes in Neural Networks and Natural Language Processing; he is also interested in Applied Category Theory and its applications in Linguistics.

Xinying Chen

Xinying Chen (born 1984, Ph.D. Communication University of China, 2012) is a post-doctoral research fellow at the University of Ostrava in the Czech Republic and an associate professor in Linguistics at the Xi’an Jiaotong University in China. Her research interests focus on the empirical syntactical analysis of linguistic units in spoken and written communication. She is also interested in applying interdisciplinary methods, such as social network analysis or statistical clustering algorithms, to quantitative analysis of synchronic and diachronic texts.

Radek Čech

Radek Čech (born 1974, Ph.D. Palacký University 2005) is an associate professor in Czech Language at the University of Ostrava (Czech Republic). His research interests focus on quantitative text analysis and quantitative syntax (valency, syntactic complex networks). He is also interested in the application of quantitative methods to historical linguistics (word ordering of enclitics, stylometry).

Jiří Milička

Jiří Milička (born 1986, PhD Charles University, 2016) is a research associate at the Department of Comparative Linguistics and the Institute of the Czech National Corpus, Faculty of Arts, Charles University. He specializes in quantitative and corpus linguistics and Arabic language; he also develops applications for linguistic research.


Published Online: 2018-11-16


This work was supported by Social Science Fund of Shaanxi State, (Grant Number: 2015K001), Univerzita Karlova v Praze (10.13039/100007397), Progress 4, Ostravská Univerzita v Ostravě (10.13039/501100006704 Grant Number: SGS02/UVAFM/2017).


Citation Information: Corpus Linguistics and Linguistic Theory, ISSN (Online) 1613-7035, ISSN (Print) 1613-7027, DOI: https://doi.org/10.1515/cllt-2018-0003.

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