This article conducts an exploratory multidimensional (MD) analysis of four interactive online registers, namely newspaper comments, tweets, web forums and text messages, originating from four South Asian countries (Bangladesh, India, Pakistan and Sri Lanka) and two Inner Circle (Kachru 1985) English-speaking countries (UK and USA). A principal component analysis (PCA) has been performed on the interactive registers using linguistic features tagged by a modified version of the MFTE tagger (Le Foll 2021a). The dimensions resulting from the PCA show that nominal, literate and informational features are generally more common in the South Asian data – which represent varieties belonging to the Outer Circle (Kachru 1985). Additionally, different features are used for expressing persuasion or opinion compared to the two reference varieties.

本文对来自四个南亚国家（孟加拉国、印度、巴基斯坦和斯里兰卡）和两个内圈国家（卡奇鲁）的四个交互式在线登记册（即报纸评论、推文、网络论坛和短信）进行了探索性多维 (MD) 分析。 1985）英语国家（英国和美国）。使用由 MFTE 标记器的修改版本标记的语言特征（Le Foll 2021a）对交互式语域进行了主成分分析（PCA）。 PCA 得出的维度表明，名义特征、文字特征和信息特征在南亚数据中通常更为常见——它们代表属于外圈的变体（Kachru 1985）。此外，与两个参考品种相比，不同的特征用于表达说服或意见。