The Sociolinguistic Speech Corpus of Chilean Spanish (COSCACH)

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2022-01-31 DOI:10.1075/ijcl.19103.sad
Scott Sadowsky
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引用次数: 3

Abstract

This paper presents the Sociolinguistic Speech Corpus of Chilean Spanish (COSCACH) v1.0, a 9.3-million-word corpus containing transcribed, lemmatized and morphologically tagged text, audio recordings and videos from 1,237 L1 speakers of Chilean Spanish, as well as a control sample of 21 non-Chilean L1 Spanish speakers. The COSCACH is the first freely available corpus of spoken Chilean Spanish of substantial size, as well as one of the largest speech corpora of any variety of Spanish. Following a review of other Chilean speech corpora, I describe how the COSCACH was constructed, covering corpus design, speaker recruitment and metadata collection, speech elicitation and recording, transcription, lemmatization and morphological tagging, and corpus compilation. I thereby aim to provide a blueprint for creating modern, large-scale speech corpora suitable for phonetic, sociophonetic and sociolinguistic research, in addition to traditional inquiry into semantics, lexis, grammar, pragmatics and discourse.
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智利西班牙语的社会语言学言语语料库
本文介绍了智利西班牙语社会语言学语音语料库(COSCACH) v1.0,这是一个930万字的语料库,包含来自1,237名母语智利西班牙语使用者的转录、词源化和形态标记的文本、录音和视频,以及21名非智利母语西班牙语使用者的对照样本。COSCACH是第一个免费提供的大量智利西班牙语口语语料库,也是各种西班牙语中最大的语音语料库之一。在回顾了其他智利语音语料库之后,我描述了COSCACH是如何构建的,包括语料库设计、说话者招募和元数据收集、语音引出和记录、转录、词形化和形态标记以及语料库编写。因此,我的目标是为创建适合语音学、社会语音学和社会语言学研究的现代大规模语音语料库提供蓝图,除了传统的语义学、词汇、语法、语用学和语篇研究之外。
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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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