A new corpus of geolocated ASR transcripts from Germany

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

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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.

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德国地理定位ASR转录本的新语料库

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。

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来源期刊

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

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.