A Corpus Analysis of Frequently Occurring Words and their Collocations in High-Impact Research Articles in Education

Bahtiar, Sharmine Farahin; Samad, Arshad Abd; Razali, Abu Bakar; Ho, Yoong Wei

doi:10.17576/3l-2020-2604-08

Cited by 2 publications

(1 citation statement)

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“…This finding leads to Laufer and Nation's (2001) idea that vocabulary richness in scientific discourse, be it in oral or written form, varies according to disciplinary fields, linguistic competence, and context of the publication, which in conjunction with the lexical dimensions, predict academic writing success. Accordingly, the organization of ideas and the flow of writing, in a certain way, are determined by writers' unawareness of the rhetoric, limited vocabulary, and lack of native-like fluency (Bahtiar et al, 2020), which leads to having a messy and unclear linguistic and academic production of texts. That is why differences emerge, particularly in lexical and grammatical patterning (Lin & Lin, 2019) across texts in both academic discourses.…”

Section: Discussionmentioning

confidence: 99%

Lexical Richness of Abstracts in Scientific Papers in Anglophone and Non-Anglophone Journals

Viera

2022

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Journal research article abstracts, considered as the most read section of the entire paper, have been the focus of multi-dimensional research studies. In the genre of abstracts, vocabulary richness is the basis for the construction of sentences, paragraphs, and complete texts; it contributes to non-native (and even native) English speakers of the language in the production and comprehension of written texts. To explore its importance, the present study examines the lexical richness in abstracts of scientific papers; it consists of three distinct measurement dimensions: lexical density, lexical variation, and lexical sophistication. The comparative-descriptive analysis is based on a corpus of abstracts in English published in Anglophone and non-Anglophone contexts. The written corpora were subjected to a software-driven text analysis using the complete lextutor vocab-profile available online at https://www.lextutor.ca/vp/eng/; the output texts from the software analyser were mined using SPSS statistics. Results show that although abstracts in both publication contexts use varied and extensive vocabulary throughout the two English sub-corpora, Anglophone texts, unlike non-Anglophone ones, produce more content and off-list words. This study announces valuable insights, particularly for inexperienced and novice writers, on using automatic online tools, such as vocab-profile, to gauge the type of vocabulary used in their written compositions.

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Section: Discussionmentioning

confidence: 99%