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A comparative study of synonyms based on BNC corpus: A case study of IGNORE and NEGLECT

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DOI: 10.23977/langl.2024.070225 | Downloads: 20 | Views: 119

Author(s)

He Ying 1

Affiliation(s)

1 Southwestern University of Finance and Economics, Chengdu, 610000, China

Corresponding Author

He Ying

ABSTRACT

In English, numerous words are considered synonymous, as dictionaries and thesauruses often provide identical definitions for them. This poses a significant challenge for English as a Foreign Language (EFL) learners, as they may perceive synonymous words as interchangeable, leading to potential ambiguity or awkwardness in their language use. However, the emergence of corpora and concordancing programs has introduced a new approach to investigating and learning synonymous words in English. This study specifically examines the collocational behavior and semantic prosody of two ostensibly synonymous verbs, "ignore" and "neglect," using the BNC Corpus. The findings reveal that these "equivalencies" can be misleading, as these words are typically used in distinct ways. The research suggests that learners may not have a comprehensive understanding of the collocation and semantic prosody of "ignore" and "neglect." Their tendencies to underuse or overuse certain grammatical forms and lexical patterns may be influenced by their native language or the registers of their English writing, or a combination of both factors. The paper concludes by discussing the implications of corpus-based studies for vocabulary teaching and learning more broadly.

KEYWORDS

BNC corpus; register; synonyms; collocation; semantic prosody

CITE THIS PAPER

He Ying, A comparative study of synonyms based on BNC corpus: A case study of IGNORE and NEGLECT. Lecture Notes on Language and Literature (2024) Vol. 7: 151-159. DOI: http://dx.doi.org/10.23977/langl.2024.070225.

REFERENCES

[1] Biber, D. Register as a predictor of linguistic variation[J]. Corpus linguistics and linguistic theory, 2012, 8(1): 9-37.
[2] Xie Zhuojun. Research on synonym analysis based on BNC corpus - taking quite and rather as examples[J]. English Square: Academic Research, 2020, (1): 2.
[3] Wang Jia & Zhang Hong. Corpus-based study on the acquisition of synonym semantic prosody by Chinese non-English major college students—taking effect and result as examples[J]. Journal of Jingchu Institute of Technology, 2022, (05): 89-96.
[4] Halliday, M. A. Corpus studies and probabilistic grammar[J]. In English corpus linguistics Routledge, 2014: 42-55.
[5] Kennedy, G. An introduction to corpus linguistics[J]. Routledge, 2014.
[6] Sinclair, J. Corpus, concordance[J]. collocation, 1991.  
[7] Hunston, S. 'Corpora in Applied Linguistics.'Cambridge University Press[J]. Cambridge, 2002.
[8] Partington, A. "Utterly content in each other's company": Semantic prosody and semantic preference[J]. International journal of corpus linguistics, 2004, 9(1): 131-156.
[9] Hunston, S., & Laviosa, S. (2000). Corpus linguistics. In Corpus Linguistics (pp. 1-177).
[10] Walter, E. Using corpora to write dictionaries[J]. The Routledge handbook of corpus linguistics, 2010: 428-443.
[11] Baker, P. (2023). Using corpora in discourse analysis. Bloomsbury Publishing.
[12] Pu, J. Colligation, collocation, and chunk in ESL vocabulary teaching and learning[J]. Foreign Language Teaching and Research, 2003, 35(6): 438-445.
[13] Widdowson, H. Jr firth, papers in linguistics [J]. International Journal of Applied Linguistics, 1957, 17(3): 402-413.
[14] Stubbs, M. Two quantitative methods of studying phraseology in English[J]. International Journal of Corpus Linguistics, 2002, 7(2): 215-244.
[15] Louw, B. Irony in the text or insincerity in the writer? The diagnostic potential of semantic prosodies[J]. Text and technology: In honour of John Sinclair, 1993: 157, 176.
[16] Stubbs, M. Text and corpus analysis: Computer-assisted studies of language and culture[J]. Oxford: Blackwell, 1996: 158.

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