Buchbeitrag

Querying Interaction Structure: Approaches to Overlap in Spoken Language Corpora

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.

Querying Interaction Structure: Approaches to Overlap in Spoken Language Corpora

Urheber*in: Frick, Elena; Helmer, Henrike; Schmidt, Thomas

Namensnennung - Nicht kommerziell 4.0 International

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Sprache
Englisch

Thema
Deutsch
Korpus <Linguistik>
Gesprochene Sprache
Sprecherwechsel
Token <Linguistik>
Abfragesprache
Suchmaschine
Sprache

Ereignis
Geistige Schöpfung
(wer)
Frick, Elena
Helmer, Henrike
Schmidt, Thomas
Ereignis
Veröffentlichung
(wer)
Paris : European Language Resources Association (ELRA)
Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)
(wann)
2022-06-29

URN
urn:nbn:de:bsz:mh39-111054
Letzte Aktualisierung
06.03.2025, 09:00 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Buchbeitrag

Beteiligte

  • Frick, Elena
  • Helmer, Henrike
  • Schmidt, Thomas
  • Paris : European Language Resources Association (ELRA)
  • Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

Entstanden

  • 2022-06-29

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