@inproceedings{berdicevskis-etal-2018-using,
title = "Using {U}niversal {D}ependencies in cross-linguistic complexity research",
author = {Berdicevskis, Aleksandrs and
{\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i} and
Ehret, Katharina and
von Prince, Kilu and
Ross, Daniel and
Thompson, Bill and
Yan, Chunxiao and
Demberg, Vera and
Lupyan, Gary and
Rama, Taraka and
Bentz, Christian},
editor = "de Marneffe, Marie-Catherine and
Lynn, Teresa and
Schuster, Sebastian",
booktitle = "Proceedings of the Second Workshop on Universal Dependencies ({UDW} 2018)",
month = nov,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6002",
doi = "10.18653/v1/W18-6002",
pages = "8--17",
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.",
}
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%0 Conference Proceedings
%T Using Universal Dependencies in cross-linguistic complexity research
%A Berdicevskis, Aleksandrs
%A Çöltekin, Çağrı
%A Ehret, Katharina
%A von Prince, Kilu
%A Ross, Daniel
%A Thompson, Bill
%A Yan, Chunxiao
%A Demberg, Vera
%A Lupyan, Gary
%A Rama, Taraka
%A Bentz, Christian
%Y de Marneffe, Marie-Catherine
%Y Lynn, Teresa
%Y Schuster, Sebastian
%S Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F berdicevskis-etal-2018-using
%X 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.
%R 10.18653/v1/W18-6002
%U https://aclanthology.org/W18-6002
%U https://doi.org/10.18653/v1/W18-6002
%P 8-17
Markdown (Informal)
[Using Universal Dependencies in cross-linguistic complexity research](https://aclanthology.org/W18-6002) (Berdicevskis et al., UDW 2018)
ACL
- Aleksandrs Berdicevskis, Çağrı Çöltekin, Katharina Ehret, Kilu von Prince, Daniel Ross, Bill Thompson, Chunxiao Yan, Vera Demberg, Gary Lupyan, Taraka Rama, and Christian Bentz. 2018. Using Universal Dependencies in cross-linguistic complexity research. In Proceedings of the Second Workshop on Universal Dependencies (UDW 2018), pages 8–17, Brussels, Belgium. Association for Computational Linguistics.