德国地理定位ASR转录本的新语料库

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Language Resources and Evaluation Pub Date : 2023-10-21 DOI:10.1007/s10579-023-09686-9
Steven Coats
{"title":"德国地理定位ASR转录本的新语料库","authors":"Steven Coats","doi":"10.1007/s10579-023-09686-9","DOIUrl":null,"url":null,"abstract":"Abstract This report describes the Corpus of German Speech (CoGS), a 56-million-word corpus of automatic speech recognition transcripts from YouTube channels of local government entities in Germany. Transcripts have been annotated with latitude and longitude coordinates, making the resource potentially useful for geospatial analyses of lexical, morpho-syntactic, and pragmatic variation; this is exemplified with an exploratory geospatial analysis of grammatical variation in the encoding of past temporal reference. Additional corpus metadata include video identifiers and timestamps on individual word tokens, making it possible to search for specific discourse content or utterance sequences in the corpus and download the underlying video and audio from the web, using open-source tools. The discourse content of the transcripts in CoGS touches upon a wide range of topics, making the resource potentially interesting as a data source for research in digital humanities and social science. The report also briefly discusses the permissibility of reuse of data sourced from German municipalities for corpus-building purposes in the context of EU, German, and American law, which clearly authorize such a use case.","PeriodicalId":49927,"journal":{"name":"Language Resources and Evaluation","volume":"114 2","pages":"0"},"PeriodicalIF":1.7000,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new corpus of geolocated ASR transcripts from Germany\",\"authors\":\"Steven Coats\",\"doi\":\"10.1007/s10579-023-09686-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This report describes the Corpus of German Speech (CoGS), a 56-million-word corpus of automatic speech recognition transcripts from YouTube channels of local government entities in Germany. Transcripts have been annotated with latitude and longitude coordinates, making the resource potentially useful for geospatial analyses of lexical, morpho-syntactic, and pragmatic variation; this is exemplified with an exploratory geospatial analysis of grammatical variation in the encoding of past temporal reference. Additional corpus metadata include video identifiers and timestamps on individual word tokens, making it possible to search for specific discourse content or utterance sequences in the corpus and download the underlying video and audio from the web, using open-source tools. The discourse content of the transcripts in CoGS touches upon a wide range of topics, making the resource potentially interesting as a data source for research in digital humanities and social science. The report also briefly discusses the permissibility of reuse of data sourced from German municipalities for corpus-building purposes in the context of EU, German, and American law, which clearly authorize such a use case.\",\"PeriodicalId\":49927,\"journal\":{\"name\":\"Language Resources and Evaluation\",\"volume\":\"114 2\",\"pages\":\"0\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2023-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Language Resources and Evaluation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s10579-023-09686-9\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Language Resources and Evaluation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10579-023-09686-9","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

摘要

本报告描述了德国语音语料库(CoGS),这是一个5600万字的自动语音识别语料库,来自德国地方政府实体的YouTube频道。转录本已经用纬度和经度坐标进行了注释,使该资源对词法、形态句法和语用变化的地理空间分析可能有用;这是一个探索性的地理空间分析的语法变化在过去的时间参考编码的例子。额外的语料库元数据包括视频标识符和单个词令牌上的时间戳,使得在语料库中搜索特定的话语内容或话语序列以及使用开源工具从网络下载底层视频和音频成为可能。CoGS中文本的话语内容涉及广泛的主题,使该资源作为数字人文和社会科学研究的数据源可能很有趣。该报告还简要讨论了在欧盟、德国和美国法律的背景下,出于构建语料库的目的重用来自德国市政当局的数据的许可性,这些法律明确授权了这样的用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A new corpus of geolocated ASR transcripts from Germany
Abstract This report describes the Corpus of German Speech (CoGS), a 56-million-word corpus of automatic speech recognition transcripts from YouTube channels of local government entities in Germany. Transcripts have been annotated with latitude and longitude coordinates, making the resource potentially useful for geospatial analyses of lexical, morpho-syntactic, and pragmatic variation; this is exemplified with an exploratory geospatial analysis of grammatical variation in the encoding of past temporal reference. Additional corpus metadata include video identifiers and timestamps on individual word tokens, making it possible to search for specific discourse content or utterance sequences in the corpus and download the underlying video and audio from the web, using open-source tools. The discourse content of the transcripts in CoGS touches upon a wide range of topics, making the resource potentially interesting as a data source for research in digital humanities and social science. The report also briefly discusses the permissibility of reuse of data sourced from German municipalities for corpus-building purposes in the context of EU, German, and American law, which clearly authorize such a use case.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Language Resources and Evaluation
Language Resources and Evaluation 工程技术-计算机:跨学科应用
CiteScore
6.50
自引率
3.70%
发文量
55
审稿时长
>12 weeks
期刊介绍: Language Resources and Evaluation is the first publication devoted to the acquisition, creation, annotation, and use of language resources, together with methods for evaluation of resources, technologies, and applications. Language resources include language data and descriptions in machine readable form used to assist and augment language processing applications, such as written or spoken corpora and lexica, multimodal resources, grammars, terminology or domain specific databases and dictionaries, ontologies, multimedia databases, etc., as well as basic software tools for their acquisition, preparation, annotation, management, customization, and use. Evaluation of language resources concerns assessing the state-of-the-art for a given technology, comparing different approaches to a given problem, assessing the availability of resources and technologies for a given application, benchmarking, and assessing system usability and user satisfaction.
期刊最新文献
Sentiment analysis dataset in Moroccan dialect: bridging the gap between Arabic and Latin scripted dialect Studying word meaning evolution through incremental semantic shift detection PARSEME-AR: Arabic reference corpus for multiword expressions using PARSEME annotation guidelines Normalized dataset for Sanskrit word segmentation and morphological parsing Conversion of the Spanish WordNet databases into a Prolog-readable format
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1