Key verbs in English Academic Discourse

The aim of this study is to investigate the distribution and semantics of the most frequently used key verbs in English academic discourse based on the data from the corresponding sections of the English language corpora, i.e., the British National Corpus (BNC), the Corpus of Contemporary American English (COCA), the Strathy Corpus of Canadian English (Strathy), and the specialized British Academic Written English Corpus (BAWE). Verbs are regarded as indispensable meaningful building blocks of academic texts contributing to the implementation of their main communicative functions (Hinkel 2004; Granger and Paquot 2009b; Frels et al. 2010). The corpus-driven methodology applied in this research is based on normalized frequencies of verbs in the English corpora, providing insights into the prevailing linguistic patterns, semantic features, and common conventions that define the language used in academic contexts. As a result of the juxtaposition of reference and study corpora, key verbs are identified in the Academic sections of the British, American and Canadian English corpora, in the Written Academic section of the BNC and in its field subsections, i.e., humanities, natural sciences, political law education, social sciences, technical engineering; in the corpus of spoken academic English in comparison to written academic English corpus and in the texts of non-native English authors with different first languages. The semantic grouping of the key verbs is performed automatically using the UCREL semantic analysis system (Archer et al. 2002). Similarity groups for the discipline sections have been determined by calculating the Jaccard similarity coefficient. The comparison of verb keyness across the corpora reveals interdiscursive similarity and provides clues about the thematic and conceptual preferences across varieties of English, academic areas, and native and non-native English authors. The obtained quantitative corpus data serve as a foundation for uncovering subtle nuances of verb use in English academic discourse. This comprehension appears beneficial not only for EAP (English for Academic Purposes) learners and educators but also for promoting scholarly communication and enhancing understanding within global academic communities.

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Publication Details

Journal
ELUA Estudios de Lingüística Universidad de Alicante
Published
2025-07-25
DOI
https://doi.org/10.14198/elua.29226
Primary Topic
Lexicography and Language Studies
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article
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Key verbs in English Academic Discourse

Iryna Dilai, Маріанна Ділай
ELUA Estudios de Lingüística Universidad de Alicante
Lexicography and Language Studies
article

Key verbs in English Academic Discourse

Iryna Dilai, Маріанна Ділай
article en

Abstract

The aim of this study is to investigate the distribution and semantics of the most frequently used key verbs in English academic discourse based on the data from the corresponding sections of the English language corpora, i.e., the British National Corpus (BNC), the Corpus of Contemporary American English (COCA), the Strathy Corpus of Canadian English (Strathy), and the specialized British Academic Written English Corpus (BAWE). Verbs are regarded as indispensable meaningful building blocks of academic texts contributing to the implementation of their main communicative functions (Hinkel 2004; Granger and Paquot 2009b; Frels et al. 2010). The corpus-driven methodology applied in this research is based on normalized frequencies of verbs in the English corpora, providing insights into the prevailing linguistic patterns, semantic features, and common conventions that define the language used in academic contexts. As a result of the juxtaposition of reference and study corpora, key verbs are identified in the Academic sections of the British, American and Canadian English corpora, in the Written Academic section of the BNC and in its field subsections, i.e., humanities, natural sciences, political law education, social sciences, technical engineering; in the corpus of spoken academic English in comparison to written academic English corpus and in the texts of non-native English authors with different first languages. The semantic grouping of the key verbs is performed automatically using the UCREL semantic analysis system (Archer et al. 2002). Similarity groups for the discipline sections have been determined by calculating the Jaccard similarity coefficient. The comparison of verb keyness across the corpora reveals interdiscursive similarity and provides clues about the thematic and conceptual preferences across varieties of English, academic areas, and native and non-native English authors. The obtained quantitative corpus data serve as a foundation for uncovering subtle nuances of verb use in English academic discourse. This comprehension appears beneficial not only for EAP (English for Academic Purposes) learners and educators but also for promoting scholarly communication and enhancing understanding within global academic communities.

ELUA Estudios de Lingüística Universidad de Alicante(44)
Lviv University (UA), Lviv Polytechnic National University (UA)
Quality Education
Openalex Percentile: Top 73%
Lexicography and Language Studies
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