Please use this identifier to cite or link to this item: doi:10.22028/D291-38634
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Title: Semi-automatic discourse annotation in a low-resource language: Developing a connective lexicon for Nigerian Pidgin
Author(s): Marchal, Marian
Scholman, Merel Cleo Johanna
Demberg, Vera
Editor(s): Zeldes, Amir
Language: English
Title: The Shared Task on Discourse Relation Parsing and Treebanking - proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021) : November 11, 2021, Punta Cana, Dominican Republic : EMNLP 2021
Pages: 84-94
Publisher/Platform: ACL
Year of Publication: 2021
Place of publication: Stroudsburg, PA
Place of the conference: Punta Cana, Dominican Republic
DDC notations: 004 Computer science, internet
Publikation type: Conference Paper
Abstract: Cross-linguistic research on discourse structure and coherence marking requires discourse-annotated corpora and connective lexicons in a large number of languages. However, the availability of such resources is limited, especially for languages for which linguistic resources are scarce in general, such as Nigerian Pidgin. In this study, we demonstrate how a semi-automatic approach can be used to source connectives and their relation senses and develop a discourse-annotated corpus in a low-resource language. Connectives and their relation senses were extracted from a parallel corpus combining automatic (PDTB end-to-end parser) and manual annotations. This resulted in Naija-Lex, a lexicon of discourse connectives in Nigerian Pidgin with English translations. The lexicon shows that the majority of Nigerian Pidgin connectives are borrowed from its English lexifier, but that there are also some connectives that are unique to Nigerian Pidgin.
DOI of the first publication: 10.18653/v1/2021.codi-main.8
Link to this record: urn:nbn:de:bsz:291--ds-386345
ISBN: 978-1-955917-13-1
Date of registration: 2-Jan-2023
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Vera Demberg
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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