The Universal Dependencies Treebank of Spoken Slovenian

Kaja Dobrovoljc, Joakim Nivre


Abstract
This paper presents the construction of an open-source dependency treebank of spoken Slovenian, the first syntactically annotated collection of spontaneous speech in Slovenian. The treebank has been manually annotated using the Universal Dependencies annotation scheme, a one-layer syntactic annotation scheme with a high degree of cross-modality, cross-framework and cross-language interoperability. In this original application of the scheme to spoken language transcripts, we address a wide spectrum of syntactic particularities in speech, either by extending the scope of application of existing universal labels or by proposing new speech-specific extensions. The initial analysis of the resulting treebank and its comparison with the written Slovenian UD treebank confirms significant syntactic differences between the two language modalities, with spoken data consisting of shorter and more elliptic sentences, less and simpler nominal phrases, and more relations marking disfluencies, interaction, deixis and modality.
Anthology ID:
L16-1248
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1566–1573
Language:
URL:
https://aclanthology.org/L16-1248
DOI:
Bibkey:
Cite (ACL):
Kaja Dobrovoljc and Joakim Nivre. 2016. The Universal Dependencies Treebank of Spoken Slovenian. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1566–1573, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
The Universal Dependencies Treebank of Spoken Slovenian (Dobrovoljc & Nivre, LREC 2016)
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PDF:
https://preview.aclanthology.org/ingest-acl-2023-videos/L16-1248.pdf