Comparative-Contrastive Analysis of Linguistic Resources for Corpus Analysis of Texts

Authors

DOI:

https://doi.org/10.34680/VERBA-2024-3(13)-24-35

Keywords:

natural language processing, corpus linguistics, linguistic corpora, corpus manager, corpus stylistics, stylistic corpus analysis

Abstract

In the last few decades, a scientific field known as computational linguistics has been actively developing. The paper discusses the main task of corpus linguistics – corpus analysis of written natural-language texts with the help of linguistic resources that are used to solve it. Corpus analysis refers to a method of language research that utilizes large collections of texts or corpora to obtain statistical and linguistic data about the language. Linguistic resources such as dictionaries, thesauri, and grammatical databases greatly enhance the capability and accuracy of corpus analysis. In addition, corpus linguistics deals with the building of corpus managers that process texts, perform concordance, search for keywords and collocations, etc. The paper briefly describes the functionality of WMatrix, WordSmith, GATE, AntConc and Sketch Engine programs and makes a comparative-contrastive analysis of their characteristics. It is concluded that the programs differ in feature set, data saving parameters, input text format and accessibility. In addition, directions for their use in research and practice are suggested. Linguistic resources can be useful for stylistic analysis of texts, studying linguistic features of author's style, teaching a foreign language, for example, grammar or vocabulary, in computer lexicography, discourse analysis and other directions. The example of the corpus analysis of the topic famine during the blockade of Leningrad with the help of the AntConc program is given. In the course of the mentioned research, 749 fragments of memories of Leningrad citizens were collected on the basis of 15 frequency words and a frequency dictionary of 158 words was compiled. Considered tools not only increase the accuracy of analysis, but also expand the possibilities and integrate into software tools for automation of corpus analysis. The choice of the appropriate tool for the study depends on the scope and depth of text analysis.

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Author Biographies

A. V. Dmitrijev, Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, Russian Federation

Candidate of Philological Sciences, Associate Professor
e-mail: avd84@list.ru

E. S. Krupnova, Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, Russian Federation

Master's degree, specialist in educational and methodological work
e-mail: krupnalena@mail.ru

 

References

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Published

2024-10-30

How to Cite

Dmitrijev А. В. ., & Krupnova Е. С. (2024). Comparative-Contrastive Analysis of Linguistic Resources for Corpus Analysis of Texts. Verba, (3 (13), 24–35. https://doi.org/10.34680/VERBA-2024-3(13)-24-35

Issue

No. 3 (13) (2024): Verba. Северо-Западный лингвистический журнал

Section

Theoretical Comprehension of Innovations, Challenges and Prospects

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