arXiv:2604.15744cs.CL2026-04被引 1

分析新西兰社交平台用户语言如何反映地域身份与方言演变

Language, Place, and Social Media: Geographic Dialect Alignment in New Zealand

论文配图:Language, Place, and Social Media: Geographic Dialect Alignment in New Zealand
图 1 · 摘自论文原文
  • 结合用户感知与计算模型,研究地方性社区的语言使用
  • 发现用户普遍将语言与地域关联,且存在语义层面的方言差异
  • 构建42.6亿词的语料库,适合未来社会语言学研究

本论文研究基于地理位置的社会媒体社群中的方言一致性问题,聚焦于新西兰相关的Reddit社区。通过整合用户感知的定性分析与计算方法,考察语言使用如何体现地方认同及基于词汇、形态句法和语义变量的语言变异与变化模式。研究发现,用户普遍将语言与地域相联系,地方相关社群构成连续的言语社区,尽管地理方言群体与地方社群之间的对齐仍较复杂。采用静态与历时的Word2Vec语言嵌入模型,揭示了基于地点社群间的语义差异及新西兰英语内部的显著语义变迁。研究构建了一个包含42.6亿未处理词的语料库,为未来研究提供宝贵资源。总体表明,社交媒体可作为社会语言学探究的自然实验室。

原文摘要 · Abstract (English)

This thesis investigates geographic dialect alignment in place-informed social media communities, focussing on New Zealand-related Reddit communities. By integrating qualitative analyses of user perceptions with computational methods, the study examines how language use reflects place identity and patterns of language variation and change based on user-informed lexical, morphosyntactic, and semantic variables. The findings show that users generally associate language with place, and place-related communities form a contiguous speech community, though alignment between geographic dialect communities and place-related communities remains complex. Advanced language modelling, including static and diachronic Word2Vec language embeddings, revealed semantic variation across place-based communities and meaningful semantic shifts within New Zealand English. The research involved the creation of a corpus containing 4.26 billion unprocessed words, which offers a valuable resource for future study. Overall, the results highlight the potential of social media as a natural laboratory for sociolinguistic inquiry.

社会语言学方言研究语料库社交媒体

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