Language, Place, and Social Media: Geographic Dialect Alignment in New Zealand
Computer Science and Software Engineering, University of Canterbury（坎特伯雷大学计算机科学与软件工程系）；Department of Linguistics, University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校语言学系）；School of Psychology, Speech and Hearing, University of Canterbury（坎特伯雷大学心理学、语音与听力学校）；Department of Linguistics, University of Canterbury（坎特伯雷大学语言学系）
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.
Wiktionary as a Crowdsourced Lexicon for English Dialects
Centre for Sustainability Research, University of Otago（奥塔哥大学可持续性研究中心）；Te Pūnaha Matatini Centre for Research Excellence in Complex Systems（Te Pūnaha Matatini复杂系统卓越研究中心）
Geographic Adaptation of Pretrained Language Models
CAIDAS, University of Würzburg（维尔茨堡大学CAIDAS）；Jožef Stefan Institute（约热夫·斯特凡研究所）；University of Ljubljana（卢布尔雅那大学）；University of Oxford（牛津大学）；LMU Munich（慕尼黑大学）；Allen Institute for AI（艾伦人工智能研究所）
A Comprehensive Analysis of Arabic Natural Language Processing Research: Trends, Topic Evolution, and Research Gaps -- A Bibliometric and Topic-Based Study
Freshman or Fresher? Quantifying the Geographic Variation of Internet Language
Stony Brook University（石溪大学）
我们提出了一种新的计算技术来检测和分析统计上显着的语言地理变异。我们的荟萃分析方法捕捉了不同地理区域词汇使用的统计特性，并使用统计方法来识别特定区域的显著变化。虽然以前的方法主要集中在地区之间的词汇变化，我们的方法确定的话，表现出语义和句法的变化。我们扩展了最近开发的神经语言模型的技术，以学习单词表示，捕捉不同的语义跨越地理区域。为了量化这种变化并确保对真实区域差异的鲁棒检测，我们制定了一个空模型来确定观察到的变化是否具有统计学意义。我们的方法是第一个这样的方法，明确占随机变化，由于机会，同时检测区域变化的词义。为了验证我们的模型，我们研究和分析了两个不同的大规模在线数据集：来自Twitter的数百万条推文，这些推文不仅来自四个不同的国家，而且来自五十个州，以及Google Book Ngrams中包含的数百万个短语。我们的分析揭示了语言变化在多个地理分辨率尺度上的有趣方面-从邻国到遥远的大陆。最后，使用我们的模型，我们提出了一个衡量语言之间的语义距离。我们对英国和美国英语100年来的分析表明，这些方言之间的语义差异正在缩小。
Crossing Borders Without Crossing Boundaries: How Sociolinguistic Awareness Can Optimize User Engagement with Localized Spanish AI Models Across Hispanophone Countries
