Corpus-Based Analysis of Lexical Variation in Pakistani Medical Blogs: Exploring Trends in Digital Health Communication

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ID: 335563
2024
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Abstract
This study investigates lexical variation in Pakistani medical blogs over a period of ten years (2015–2024) using a corpus-driven approach. Lexical variation is automatically measured using the web-based Lexical Complexity Analyzer developed by Lu and Ai (2010). In addition to indices like Type-Token Ratio (TTR), Mean Segmental TTR (MSTTR), and more advanced metrics like CTTR, RTTR, and the Uber Index, the lexical variation across the decade was further evaluated using verb-based variation indices (VV1, SVV1, CVV1) and the remaining five (LV, VV2, NV, ADJV, ADVV, MODV) estimate the lexical word variation within the examined corpus. The results show a moderate level of lexical variation, with some increase in vocabulary richness, particularly reflected in the Uber Index, which showed a gradual rise over time. Although TTR values remained fairly stable, the diversity of verb-based indices and other word categories remained limited, suggesting that while medical blogs evolve in content, they prioritize clarity and consistency in communicating healthcare information.
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Authors Adnan Tahir
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Journal Pakistan Languages and Humanities Review
Year 2024
DOI
10.47205/plhr.2024(8-IV)44
URL
https://ojs.plhr.org.pk/journal/article/view/1117
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