利用兰南语料库推进中菲语言学和社会语言学

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS
Wilkinson Daniel Wong Gonzales
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引用次数: 0

摘要

摘要:本文介绍了兰南语语料库(LanCorp),这是一个37.5万字的马尼拉大都市兰南语原始和转录录音的公共集合,这些录音已经用词性标签进行了注释,并与40种社会语言学元数据相关联。它首先提供了LanCorp的概述(例如设计、格式、可访问性)。然后,它继续展示了语料库如何用于变异社会语言学研究的各种例子,使用Lánnang-uè数据作为案例研究。探索性研究结果表明,兰南语受到社会语言学因素的影响,显示了中菲社会语言学生态的复杂性。由于其庞大的规模、社会语言学元数据和各种格式,LanCorp可以用于研究一般的兰南语以及特定社会群体如何使用这些语言。它使学者能够在广泛的社会语言学因素中研究多语言互动,进一步推动中菲(社会)语言学领域的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing Sino-Philippine linguistics and sociolinguistics using the Lannang Corpus (LanCorp)
Abstract This paper introduces the Lannang Corpus (LanCorp), a public 375,000-word collection of raw and transcribed recordings of Lannang languages spoken in metropolitan Manila, which have been annotated with part-of-speech tags and linked to 40 types of sociolinguistic metadata. It begins by providing an overview of the LanCorp (e.g. design, formats, accessibility). Then, it goes on to show various examples of how the corpus can be used for variationist sociolinguistic research, using Lánnang-uè data as a case study. The findings from the exploratory studies indicate that Lannang languages are influenced by sociolinguistic factors, demonstrating the intricate nature of the Sino-Philippine sociolinguistic ecology. Due to its large size, sociolinguistic metadata, and various formats, LanCorp can be used to study Lannang languages in general and how they are used by specific social groups. It enables scholars to investigate multilingual interactions in a wide range of sociolinguistic factors, furthering the field of Sino-Philippine (socio)linguistics.
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
43
期刊介绍: The International Journal of Corpus Linguistics (IJCL) publishes original research covering methodological, applied and theoretical work in any area of corpus linguistics. Through its focus on empirical language research, IJCL provides a forum for the presentation of new findings and innovative approaches in any area of linguistics (e.g. lexicology, grammar, discourse analysis, stylistics, sociolinguistics, morphology, contrastive linguistics), applied linguistics (e.g. language teaching, forensic linguistics), and translation studies. Based on its interest in corpus methodology, IJCL also invites contributions on the interface between corpus and computational linguistics.
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