Querying Interaction Structure: Approaches to Overlap in Spoken Language Corpora

Elena Frick, Thomas Schmidt, Henrike Helmer


Abstract
In this paper, we address two problems in indexing and querying spoken language corpora with overlapping speaker contributions. First, we look into how token distance and token precedence can be measured when multiple primary data streams are available and when transcriptions happen to be tokenized, but are not synchronized with the sound at the level of individual tokens. We propose and experiment with a speaker-based search mode that enables any speaker’s transcription tier to be the basic tokenization layer whereby the contributions of other speakers are mapped to this given tier. Secondly, we address two distinct methods of how speaker overlaps can be captured in the TEI-based ISO Standard for Spoken Language Transcriptions (ISO 24624:2016) and how they can be queried by MTAS – an open source Lucene-based search engine for querying text with multilevel annotations. We illustrate the problems, introduce possible solutions and discuss their benefits and drawbacks.
Anthology ID:
2022.lrec-1.75
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
715–722
Language:
URL:
https://aclanthology.org/2022.lrec-1.75
DOI:
Bibkey:
Cite (ACL):
Elena Frick, Thomas Schmidt, and Henrike Helmer. 2022. Querying Interaction Structure: Approaches to Overlap in Spoken Language Corpora. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 715–722, Marseille, France. European Language Resources Association.
Cite (Informal):
Querying Interaction Structure: Approaches to Overlap in Spoken Language Corpora (Frick et al., LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.75.pdf