世界语言中持续性与扩散性的模式
Patterns of Persistence and Diffusibility across the World's Languages
AI总结：
本研究构建了包含1,966种语言多维度数据的大规模图谱，通过探索基因稳定性和接触诱导变化，揭示了跨语言同词化与语音相似性的成因，为多语言NLP和比较语言学提供了资源。
摘要：
语言相似性可能由遗传相关性、区域接触、普遍性或偶然性引起。Colexification（同词化），即使用单一词汇形式表达多种含义的相似性类型，目前研究尚不充分。在我们的研究中，我们通过探索基因稳定性（持续性）和接触诱导变化（扩散性），阐明了同词化和语音学中跨语言相似性的语言学成因。我们构建了包含1,966种语言的语义、谱系、语音和地理数据的大规模图谱。随后，通过调查以往语言学工作中的几个既定假设并提出新假设，我们展示了该资源的潜力。我们的结果有力地支持了语言学文献中先前确立的一个假设，同时为另一个假设提供了反面证据。我们的大规模资源为多语言NLP和比较语言学等跨学科的进一步研究提供了便利。
英文摘要：
Language similarities can be caused by genetic relatedness, areal contact, universality, or chance. Colexification, i.e. a type of similarity where a single lexical form is used to convey multiple meanings, is underexplored. In our work, we shed light on the linguistic causes of cross-lingual similarity in colexification and phonology, by exploring genealogical stability (persistence) and contact-induced change (diffusibility). We construct large-scale graphs incorporating semantic, genealogical, phonological and geographical data for 1,966 languages. We then show the potential of this resource, by investigating several established hypotheses from previous work in linguistics, while proposing new ones. Our results strongly support a previously established hypothesis in the linguistic literature, while offering contradicting evidence to another. Our large scale resource opens for further research across disciplines, e.g.~in multilingual NLP and comparative linguistics.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
