Please use this identifier to cite or link to this item: doi:10.22028/D291-30969
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Title: Using Universal Dependencies in cross-linguistic complexity research
Author(s): Berdicevskis, Aleksandrs
Çöltekin, Çağrı
Ehret, Katharina
von Prince, Kilu
Ross, Daniel
Thompson, Bill
Yan, Chunxiao
Demberg, Vera
Lupyan, Gary
Rama, Taraka
Bentz, Christian
Editor(s): Marneffe, Marie-Catherine de
Language: English
Title: Second Workshop on Universal Dependencies (UDW 2018) - proceedings of the workshop : November 1, 2018, Brussels, Belgium : EMNLP 2018
Startpage: 8
Endpage: 17
Publisher/Platform: ACL
Year of Publication: 2018
Place of publication: Stroudsburg, PA
Title of the Conference: EMNLP 2018
Place of the conference: Brussels, Belgium
Publikation type: Conference Paper
Abstract: We evaluate corpus-based measures of linguistic complexity obtained using Universal Dependencies (UD) treebanks. We propose a method of estimating robustness of the complexity values obtained using a given measure and a given treebank. The results indicate that measures of syntactic complexity might be on average less robust than those of morphological complexity. We also estimate the validity of complexity measures by comparing the results for very similar languages and checking for unexpected differences. We show that some of those differences that arise can be diminished by using parallel treebanks and, more importantly from the practical point of view, by harmonizing the language-specific solutions in the UD annotation.
DOI of the first publication: 10.18653/v1/W18-6002
URL of the first publication:
Link to this record: hdl:20.500.11880/29692
ISBN: 978-1-948087-78-0
Date of registration: 22-Sep-2020
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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