Exploring Linguistic Variation Between American English and Indian English Business Texts Using R-Studio: A Corpus-Based Computational Approach
DOI:
https://doi.org/10.17507/tpls.1611.12Keywords:
corpus linguistics, World Englishes, R-Studio, American Indian English, text miningAbstract
This study attempts to make a comparative analysis of American English and Indian English texts through the application of various statistical tools in R-Studio. It attempts to identify the significant variations in the usage of words, the incidence of particular words, and the frequency of these usages in American English and Indian English. To maintain the objectivity of the study, two corpora consisting of similar types of texts are created. By utilizing the power of R programming for the purpose of text mining and corpus linguistics, the study attempts to examine the texts based on various parameters such as type/token ratio, lexical density, n-gram analysis, keyness, etc. It is observed that American English makes significant usage of high-frequency words in a standardized manner, while the usage of words in Indian English is pragmatic and attempts to combine a variety of words. This study falls at the crossroads of computational sociolinguistics and attempts to combine the power of corpus linguistics, statistical analysis, and a global perspective on English varieties as a new trend in the study of linguistics. It also attempts to demonstrate the power of the R-Studio environment as a powerful tool for corpus linguistics and the significance of statistical analysis in the study of linguistics.
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