2020
DOI: 10.1007/s11192-020-03408-6
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Multidimensional analysis of Master thesis abstracts: a diachronic perspective

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Cited by 9 publications
(3 citation statements)
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“…By studying and cross-examining the results from different aspects, we can explicitly uncover the language features of a given genre. Such a scope of adopting the multidimensional approach is effective for tapping the language features of a given professional genre (Xie, 2020;Mu, 2021). According to SFL, certain language variables can take on specific functions (Halliday & Matthiessen, 2014).…”
Section: Review Of Literaturementioning
confidence: 99%
“…By studying and cross-examining the results from different aspects, we can explicitly uncover the language features of a given genre. Such a scope of adopting the multidimensional approach is effective for tapping the language features of a given professional genre (Xie, 2020;Mu, 2021). According to SFL, certain language variables can take on specific functions (Halliday & Matthiessen, 2014).…”
Section: Review Of Literaturementioning
confidence: 99%
“…The variability of rhetorical structure has also been investigated where a general trend of rhetorical structure evolution could be periodical. Xie (2020), by adopting multidimensional analysis, investigated the diachronic variation of styles in the Master thesis by Chinese students across 10 years. The results exhibited that a general trend is fluctuated in a 3-year-cycle pattern.…”
Section: Related Workmentioning
confidence: 99%
“…Friginal and Weigle (2014) identified the functional dimensions of L2 academic essays and analyzed linguistic variation in the corpus across parameters of time and average assessment scores. A small number of Chinese scholars compare the English abstracts of Chinese and international core journals from dimensions and linguistic features (Xie & Ma, 2021;Zhang et al, 2018), and the textual and linguistic changes in English abstracts have also been investigated from a diachronic perspective (Xie, 2020).…”
Section: A Research On Multi-dimensional Analysismentioning
confidence: 99%