@inproceedings{gonzalez-dios-etal-2016-preliminary,
title = "A Preliminary Study of Statistically Predictive Syntactic Complexity Features and Manual Simplifications in {B}asque",
author = "Gonzalez-Dios, Itziar and
Aranzabe, Mar{\'\i}a Jes{\'u}s and
D{\'\i}az de Ilarraza, Arantza",
editor = "Brunato, Dominique and
Dell{'}Orletta, Felice and
Venturi, Giulia and
Fran{\c{c}}ois, Thomas and
Blache, Philippe",
booktitle = "Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity ({CL}4{LC})",
month = dec,
year = "2016",
address = "Osaka, Japan",
publisher = "The COLING 2016 Organizing Committee",
url = "https://aclanthology.org/W16-4110",
pages = "89--97",
abstract = "In this paper, we present a comparative analysis of statistically predictive syntactic features of complexity and the treatment of these features by humans when simplifying texts. To that end, we have used a list of the most five statistically predictive features obtained automatically and the Corpus of Basque Simplified Texts (CBST) to analyse how the syntactic phenomena in these features have been manually simplified. Our aim is to go beyond the descriptions of operations found in the corpus and relate the multidisciplinary findings to understand text complexity from different points of view. We also present some issues that can be important when analysing linguistic complexity.",
}
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%0 Conference Proceedings
%T A Preliminary Study of Statistically Predictive Syntactic Complexity Features and Manual Simplifications in Basque
%A Gonzalez-Dios, Itziar
%A Aranzabe, María Jesús
%A Díaz de Ilarraza, Arantza
%Y Brunato, Dominique
%Y Dell’Orletta, Felice
%Y Venturi, Giulia
%Y François, Thomas
%Y Blache, Philippe
%S Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F gonzalez-dios-etal-2016-preliminary
%X In this paper, we present a comparative analysis of statistically predictive syntactic features of complexity and the treatment of these features by humans when simplifying texts. To that end, we have used a list of the most five statistically predictive features obtained automatically and the Corpus of Basque Simplified Texts (CBST) to analyse how the syntactic phenomena in these features have been manually simplified. Our aim is to go beyond the descriptions of operations found in the corpus and relate the multidisciplinary findings to understand text complexity from different points of view. We also present some issues that can be important when analysing linguistic complexity.
%U https://aclanthology.org/W16-4110
%P 89-97
Markdown (Informal)
[A Preliminary Study of Statistically Predictive Syntactic Complexity Features and Manual Simplifications in Basque](https://aclanthology.org/W16-4110) (Gonzalez-Dios et al., CL4LC 2016)
ACL