DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter
Abstract
Natural, spontaneous dialogue corpora are rich re- sources for a variety of linguistic research. In this paper, we present the DUEL (‘Disfluency, excla- mations and laughter in dialogue’ corpus, consisting of 24 hours of natural, face-to-face, loosely task-directed dialogue in German, French and Mandarin Chinese. The corpus is uniquely positioned as a cross-linguistic, mul- timodal dialogue resource controlled for domain, including audio, video and body tracking data and is transcribed and annotated for disfluency, laughter and exclamations.
To ensure cross-linguistic comparability, the experimental tasks were designed to be culture- neutral, the data in three languages were recorded using near-identical technical setups, and our transcription and annotation protocol is designed to be language-general.
Domains
Linguistics
Origin : Files produced by the author(s)
Loading...