语音数据中的对话行为注释

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2022-08-08 DOI:10.1075/ijcl.20165.ver
D. Verdonik
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引用次数: 0

摘要

本文的目的是发现语音语料库中对话行为标注中最具问题的问题,并定义对话行为的基本类别。我严格检查和测试代表不同对话行为注释行的通用方案:AMI, DART, ISO 24617-2和SWBD-DAMSL。研究发现,对话行为标注中存在的最大问题是话语语义和语用意义的区分、元话语的标注以及标记集的充分性和信息性。确定的基本对话行为类别为信息提供、信息寻求、行为、社会行为和元话语。研究结果有助于改进对话行为注释。
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Annotating dialogue acts in speech data
The aims of this paper are to detect the most problematic issues related to dialogue act annotation in speech corpora and to define basic categories of dialogue acts. I critically examine and test generic schemes that represent different lines of dialogue act annotation: AMI, DART, ISO 24617–2 and SWBD-DAMSL. It is found that the most problematic issues regarding dialogue act annotation are related to the distinction between the semantic and pragmatic meanings of utterances, the annotation of metadiscourse, and the adequacy and informativeness of the tagset. The identified basic dialogue act categories are information providing, information seeking, actions, social acts and metadiscourse. The findings help improve dialogue act annotation.
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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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