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Introducing StarDust: A UD-based Dependency Annotation Tool

Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022

DOI:10.63317/4tcrx4u3gcx6

Abstract

This paper aims to introduce StarDust, a new, open-source annotation tool designed for NLP studies. StarDust is designed specifically to be intuitive and simple for the annotators while also supporting the annotation of multiple languages with different morphological typologies, e.g. Turkish and English. This demonstration will mainly focus on our UD-based annotation tool for dependency syntax. Linked to a morphological analyzer, the tool can detect certain annotator mistakes and limit undesired dependency relations as well as offering annotators a quick and effective annotation process thanks to its new simple interface. Our tool can be downloaded from the Github.

Details

Paper ID
lrec2022-ws-law-09
Pages
pp. 79-84
BibKey
yenice-etal-2022-introducing
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
N/A
ISBN
N/A
Workshop
Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022
Location
undefined, undefined
Date
20 June 2022 25 June 2022

Authors

  • AY

    Arife B. Yenice

  • NC

    Neslihan Cesur

  • AK

    Aslı Kuzgun

  • OY

    Olcay Taner Yıldız

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