Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/25433
Title: ISO-based annotated multilingual parallel corpus for discourse markers
Authors: da Purificação Silvano, Maria
Damova, Mariana
Oleskeviciené Valunaité, Giedré
Liebeskind, Chaya
Chiarcos, Christian
Trajanov, Dimitar 
Ciprian-Octavian, Truica
Apostol, Elena-Simona
Baczkowska, Anna
Keywords: multilingual corpus, discourse markers, ISO-based annotation scheme, discourse relations, communicative functions
Issue Date: 2022
Journal: Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022)
Abstract: Discourse markers carry information about the discourse structure and organization, and also signal local dependencies or epistemological stance of speaker. They provide instructions on how to interpret the discourse, and their study is paramount to understand the mechanism underlying discourse organization. This paper presents a new language resource, an ISO-based annotated multilingual parallel corpus for discourse markers. The corpus comprises nine languages, Bulgarian, Lithuanian, German, European Portuguese, Hebrew, Romanian, Polish, and Macedonian, with English as a pivot language. In order to represent the meaning of the discourse markers, we propose an annotation scheme of discourse relations from ISO 24617-8 with a plug-in to ISO 24617-2 for communicative functions. We describe an experiment in which we applied the annotation scheme to assess its validity. The results reveal that, although some extensions are required to cover all the multilingual data, it provides a proper representation of discourse markers value. Additionally, we report some relevant contrastive phenomena concerning discourse markers interpretation and role in discourse. This first step will allow us to develop deep learning methods to identify and extract discourse relations and communicative functions, and to represent that information as Linguistic Linked Open Data (LLOD).
URI: http://hdl.handle.net/20.500.12188/25433
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

Files in This Item:
File Description SizeFormat 
596162.pdf434.79 kBAdobe PDFView/Open
Show full item record

Page view(s)

31
checked on May 1, 2024

Download(s)

8
checked on May 1, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.