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Introducing StarDust: A UD-based Dependency Annotation Tool

Title	Introducing StarDust: A UD-based Dependency Annotation Tool
Author	Yenice, A. B., Cesur, N., Kurgun, A., Yıldız, Olcay Taner
Publication Date:	2022
Publication Place	- European Language Resources Association (ELRA)
Subject	Annotation tool, Dependency parsing, Turkish
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	978-249381408-1
Record ID	2dfefe5d-4260-4718-890a-34fdef5c9ac3
Library Location	Computer Science
Date	2022
Sample Text	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. © 2022 European Language Resources Association (ELRA).

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Özyeğin University

Introducing StarDust: A UD-based Dependency Annotation Tool

Author Yenice, A. B., Cesur, N., Kurgun, A., Yıldız, Olcay Taner

Publication Date 2022

Publication Place - European Language Resources Association (ELRA)

Subject Annotation tool, Dependency parsing, Turkish

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 978-249381408-1

Record ID 2dfefe5d-4260-4718-890a-34fdef5c9ac3

Library Location Computer Science

Date 2022

Sample Text 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. © 2022 European Language Resources Association (ELRA).