发表机构
Centre for Sustainability Research, University of Otago; Te Pūnaha Matatini Centre for Research Excellence in Complex Systems（奥塔哥大学可持续性研究中心; Te Pūnaha Matatini复杂系统卓越研究中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文评估维基词典作为众包式英语方言词典的表现，发现其对区域和外圈英语变体的覆盖范围不逊于《牛津英语词典》，且与社交媒体语言及《牛津英语词典》均有较高一致性，同时指出评估相关资源的挑战。
AI 中文摘要
本文评估维基词典作为符合伦理的众包式英语方言词典的适用性。我们采用两阶段方法：首先对12种英语国家变体的众包式词典进行深入描述性分析，之后将该词典应用于地理定位的国家级社交媒体语言数据，以检验这款众包式方言词典的实际表现。我们证明，对于区域变体和外圈变体，维基词典的覆盖范围与《牛津英语词典》（OED）相当甚至更优。针对新西兰英语的方言专项案例研究发现，基于构词模式，维基词典与OED的一致性达R=0.883。同样，我们观察到该方言词典与地理定位社交媒体语言也存在高度一致性。本文还发现，维基词典在词汇属性上具备广泛覆盖性，但也凸显了评估方言响应型语言资源与工具面临的宏观挑战，比如方言中的语言接触作用以及基于网络的语料库中的语域效应。
英文摘要
This paper evaluates Wiktionary as an ethically crowdsourced lexicon for English dialects. We took a two-phase approach, providing an in-depth descriptive analysis of the crowdsourced lexicon for 12 national varieties of English before applying the lexicon to geo-referenced, country-level social media language data to examine the real-world performance of this crowdsourced dialect lexicon. We demonstrate that Wiktionary matches or exceeds the coverage of traditional dictionaries, such as the Oxford English Dictionary (OED), for regional and Outer-Circle varieties. Our dialect-specific case study on New Zealand English found high alignment between Wiktionary and the OED based on word-formation patterns (R = 0.883). Similarly, we observed high alignment between the dialect lexicon and geo-referenced social media language. While this paper found that Wiktionary has broad coverage of lexical properties, it also highlighted some of the macro-challenges involved in evaluating dialect-responsive language resources and tools, such as the role of language contact in dialects and register effects in web-based corpora.
CommentsAccepted for oral presentation at the 13th Web-as-Corpus Workshop
